XML and Semantic Web Technologies. III. Semantic Web / 2. Web Ontology Language (OWL)

Size: px
Start display at page:

Download "XML and Semantic Web Technologies. III. Semantic Web / 2. Web Ontology Language (OWL)"

Transcription

1 XML and Semantic Web Technologies XML and Semantic Web Technologies. Semantic Web / 2. Web Ontology Language (OWL) Lars Schmidt-Thieme nformation Systems and Machine Learning Lab (SMLL) nstitute of Economics and nformation Systems & nstitute of Computer Science University of Hildesheim Course on XML and Semantic Web Technologies, summer term /42 XML and Semantic Web Technologies. Semantic Web / 2. Web Ontology Language (OWL) 1. Description Logics 2. OWL Basics 3. OWL in RDF 4. OWL XML Syntax Course on XML and Semantic Web Technologies, summer term /42

2 Named ndividuals, Classes, and Roles (1/2) Description logics is a family of special logical calculi that can be represented as subsets of FOL. named individual represents single entity of the domain, e.g., specific persons, cities, etc. denoted by a, b, c,.... corresponds to constants in FOL. interpreted by elements of the domain in models (a ). named concept (aka atomic, primitive; aka class) represents a class of individuals denoted by A, B, C,.... denotes the all class (universe), denotes the empty class. corresponds to unary predicates in FOL. interpreted by sets of elements of the domain in models (A ). Course on XML and Semantic Web Technologies, summer term /42 Named ndividuals, Classes, and Roles (2/2) named role (aka atomic, primitive; aka property) represents a relation between two individuals denoted by R, S, T,.... corresponds to binary predicates in FOL. interpreted by relations between elements of the domain in models (R ). Course on XML and Semantic Web Technologies, summer term /42

3 a : A Statements (1/2) individual a belongs to class A, a is a A. A(a) in FOL. a A in models. charleschaplin: Director goldrush: Movie a, b : R individual a and b are related by R. R(a, b) in FOL. (a, b ) R in models. charleschaplin, goldrush : directs adam, abel : parentof Course on XML and Semantic Web Technologies, summer term /42 A B class A is a subclass of class B. xa(x) B(x) in FOL. A B in models. Statements (2/2) Director Professional Human Movie Artwork A =B abbreviation for A B and B A. Course on XML and Semantic Web Technologies, summer term /42

4 Taxonomies Classes form a taxonomy that can be represented graphically by a directed acyclic graph. individuals can belong to several classes, even if none of them is a subclass of another. example: charleschaplin : Male charleschaplin : Director classes can have several superclasses, even if none of them is a subclass of another (multiple inheritance). example: Actrice : Female Actrice : Professional subclasses have not to be exhaustive, interior nodes have not to be abstract, but can contain individuals that belong to none of the subclasses. example: there are female professionals that are not actrices (e.g., directors). Course on XML and Semantic Web Technologies, summer term /42 Class constructors: Boolean expressions (1/2) New classes can be constructed, e.g., from boolean expressions of existing classes. These new classes then can be used in statements wherever named classes can be used. A B class of individuals belonging to both classes A and B. A(x) B(x) in FOL. A B in models. CityState =Country City luxemburg : CityState A B class of individuals belonging to at least one of the classes A or B. A(x) B(x) in FOL. A B in models. Parents =Father Mother Course on XML and Semantic Web Technologies, summer term /42

5 Class constructors: Boolean expressions (1/2) A class of individuals not belonging to class A. A(x) in FOL. \ A in models. Female =Human Male Course on XML and Semantic Web Technologies, summer term /42 Class constructors: exists restriction (1/2) Furthermore, classes can be constructed from roles by posing constraints on the related individuals (restrictions). R unqualified exists restriction class of individuals that are related to at least one other individual by relation R. yr(x, y) in FOL. {x y : (x, y) R } in models. Parents = ParentOf Course on XML and Semantic Web Technologies, summer term /42

6 R.A qualified exists restriction Class constructors: exists restriction (2/2) class of individuals that are related to at least one individual of class A by relation R. ya(y) R(x, y) in FOL. {x y A : (x, y) R } in models. ParentsOfASon = ParentOf.Male R. could be used to express an unqualified exists expression. Course on XML and Semantic Web Technologies, summer term /42 R.A value restriction (always qualified) Class constructors: value restriction class of individuals that are related only to individuals of class A by relation R. yr(x, y) A(y) in FOL. {x y : (x, y) R y A } in models. HappyParents = ParentOf.Happy All qualified restrictions could be nested, e.g., Grandparents = ParentOf. ParentOf. Course on XML and Semantic Web Technologies, summer term /42

7 A simple description logic calculus: FL FL class constructors: symbol name formal semantics A atomic / primitive concept C R atomic / primitive role R C D conjoined concept, and C D R exists restriction, some {x y : (x, y) R } R.C value restriction, all {x y : (x, y) R y C } FL statements: C D subsumption, axiom C D C =D concept equality / definition C = D a : C concept assertion a C a, b : R role assertion (a, b ) R concept = class, set of individuals. role = relation between pairs of individuals. Course on XML and Semantic Web Technologies, summer term /42 ALC ALC class constructors: symbol name formal semantics A atomic / primitive concept C R atomic / primitive role R top, all class bottom, empty class C complement, not \ C C D conjunction, and C D C D disjunction, or C D R.C exists restriction, some {x y C : (x, y) R } R.C value restriction, all {x y : (x, y) R y C } ALC statements: C D subsumption, axiom C D C =D concept equality / definition C = D a : C concept assertion a C a, b : R role assertion (a, b ) R Course on XML and Semantic Web Technologies, summer term /42

8 ALC example Formalize the concept of DNK = "double income, no kids". atomic concepts: Human, Employed. atomic roles: partnerof, parentof. Employed Human DNK = Employed partnerof.employed parentof.human Course on XML and Semantic Web Technologies, summer term /42 Class constructors: functional number restrictions 1R functional number restriction class of individuals that are related to at most one individual by relation R. y, z : R(x, y) R(x, z) y = z in FOL. {x #{y (x, y) R } 1} in models. Monogamous = 1MarriedTo 2R functional number restriction class of individuals that are related to at least two individuals by relation R. y, z : R(x, y) R(x, z) y z in FOL. {x #{y (x, y) R } 2} in models. Polygamous = 2MarriedTo Do not confuse number restrictions with numeric properties (i.e., age of a person) or restrictions on numeric properties (i.e., a baby is a human of age at most 1 year). Course on XML and Semantic Web Technologies, summer term /42

9 Class constructors: (general) number restrictions nr number restriction (with n a natural number). class of individuals that are related to at most n individuals by relation R. y 1, y 2,..., y n, y n+1 : R(x, y 1 ) R(x, y 2 )... R(x, y n+1 ) (y 1 = y 2 y 1 = y 3... y n = y n+1 ) in FOL. {x #{y (x, y) R } n} in models. MiniGroup = 5HasMember nr number restriction (with n a natural number). class of individuals that are related to at least n individuals by relation R. y 1, y 2,..., y n : R(x, y 1 ) R(x, y 2 )... R(x, y n ) y 1 y 2 y 1 y 3... y n 1 y n in FOL. {x #{y (x, y) R } n} in models. OverBookedAirbus380 = 556HasBooking Course on XML and Semantic Web Technologies, summer term /42 Class constructors: qualified number restrictions nr.a qualified number restriction (with n a natural number). class of individuals that are related to at most n individuals of class A by relation R. y 1, y 2,..., y n, y n+1 : A(y 1 ) A(y 2 )... A(y n+1 ) R(x, y 1 ) R(x, y 2 )... R(x, y n+1 ) (y 1 = y 2 y 1 = y 3... y n = y n+1 ) in FOL. {x #{y (x, y) R } n} in models. MiniGroup = 5HasMember.Adult nr.a qualified number restriction (with n a natural number). class of individuals that are related to at least n individuals of class A by relation R. y 1, y 2,..., y n : A(y 1 ) A(y 2 )... A(y n ) R(x, y 1 ) R(x, y 2 )... R(x, y n ) y 1 y 2 y 1 y 3... y n 1 y n in FOL. {x #{y (x, y) R } n} in models. LargeFamily = 3HasMember.Child Course on XML and Semantic Web Technologies, summer term /42

10 Class constructors: nominal, enumeration {o} nominal class that contains exactly individual o. x = o in FOL. {o} in models. CharlesChaplin ={charleschaplin} Enumerations can be formed by unions of nominals: {o 1,..., o n } = {o 1 } {o 2 }... {o n } example: GreatDirectors ={charleschaplin, friedrichmurnau, fritzlang} Course on XML and Semantic Web Technologies, summer term /42 ALC extensions / class constructors class constructors of ALC extensions: symbol name formal semantics 1R functional number (F) {x #{y (x, y) R } 1} 2R restrictions {x #{y (x, y) R } 2} nr number restrictions, (N) {x #{y (x, y) R } n} nr cardinality {x #{y (x, y) R } n} nr.c qual. cardinality (Q) {x #{y C (x, y) R } n} nr.c {x #{y C (x, y) R } n} {o} nominal, (O) {o } {o 1,..., o n } enumeration, one-of {o 1,..., o n} Obviously, (Q) (N) (F). Course on XML and Semantic Web Technologies, summer term /42

11 Role constructors: Boolean expressions (1/2) R S role conjunction role that relates x to y iff both R and S do. R(x, y) S(x, y) in FOL. R S in models. ncestousperson = smarriedto ssiblingof R S role disjunction role that relates x to y iff R or S does. R(x, y) S(x, y) in FOL. R S in models. Parents = HasSon HasDaughter ParentOfSingleChild = 1HasSon HasDaughter Course on XML and Semantic Web Technologies, summer term /42 R role negation Role constructors: Boolean expressions (2/2) role that relates x to y iff R does not. R(x, y) in FOL. \ R in models. Philanthropists = Likes Do not confuse role negation with inverse roles (see next slide). Course on XML and Semantic Web Technologies, summer term /42

12 R inverse role Role constructors: inverse role that relates x to y exactly if R relates y to x. R(y, x) in FOL. {(y, x) (x, y) R } in models. haschild =hasparent Course on XML and Semantic Web Technologies, summer term /42 R S role composition Role constructors: composition role that relates x to y iff there exists a z s.t. x is related to z by R and z related to y by S. zr(x, z) S(z, y) in FOL. {(x, y) z : (x, z) R (z, y) S } in models. OnlyChild = 1HasParent HasParent Course on XML and Semantic Web Technologies, summer term /42

13 Role statements: subsroles R S subrole whenever two instances are related by R, they are also related by S. subroles are used to build role hierarchies R(x, y) S(x, y) in FOL. R S in models. ismother isparent R =S role equivalence, abbreviation for R S and S R. Course on XML and Semantic Web Technologies, summer term /42 Role statements: transitive roles R R + transitive role whenever x and y as well as y and z are related by R, then x and z are also related by R directly R(x, y) R(y, z) R(x, z) in FOL. R = (R ) + in models where for any relation R S S on any set S R + := tr n (R) n N tr(r) := {(x, y) z S : (x, z), (z, y) R} sancestorof R + (Anne, Bert) : smotherof (Bert, Clara) : sfatherof sfatherof, ismotherof sancestorof Anne, Clara : sancestorof Course on XML and Semantic Web Technologies, summer term /42

14 ALC extensions / role constructors role constructors of ALC extensions: symbol name formal semantics R atomic / primitive role R R inverse () {(y, x) (x, y) R } R complement, not \ R R Q conjunction, and R Q R Q disjunction, or R Q R Q composition {(x, y) z : (x, z) R (z, y) Q statements of ALC extensions: R Q role hierarchy (H) R Q R =Q role equality / definition R = Q R R + transitive role ( R +) R = (R ) + where for any relation R S S on any set S R + := tr n (R) n N tr(r) := {(x, y) z S : (x, z), (z, y) R} Course on XML and Semantic Web Technologies, summer term /42 SH := ALCH R + ALC extensions / SH-logics n SH, number restrictions (Q),(N),(F) may only be applied to simple roles, i.e., roles that neither are transitive nor have transitive subroles. SHN + (where N + := (N) for arbitrary roles) is already undecidable. Course on XML and Semantic Web Technologies, summer term /42

15 Additional syntactic symbols: datatypes d D, concrete primitive roles R R D. ALC extensions / Datatypes Additional model components: set D values, as domain of all datatype for each d D a set d datatype values, symbol name formal semantics R abstract primitive role R A R R concrete primitive role R D (D) R D d datatype d D d datatype negation D \ d D of for each concrete primitive role R R D a set R D. Datatypes may be used wherever concepts are used (e.g., in exists and value restrictions, number restrictions etc.). Role hierarchies for abstract and concrete roles are disjunct (i.e., in R Q both R and Q are in R A or R D ). Transitivity can only be declared for abstract roles. Course on XML and Semantic Web Technologies, summer term /42 FOL, F Logics SHOQ SHON(D) = OWL DL undecidable SHQ SHON SHF(D) = OWL Lite NExpTime SHF ExpTime SQ S S := ALCR+ ALC PSpace Figure 1: Complexity of satisfiability and subsumption of different description logics. Course on XML and Semantic Web Technologies, summer term /42

16 XML and Semantic Web Technologies. Semantic Web / 2. Web Ontology Language (OWL) 1. Description Logics 2. OWL Basics 3. OWL in RDF 4. OWL XML Syntax Course on XML and Semantic Web Technologies, summer term /42 XML and Semantic Web Technologies / 2. OWL Basics OWL Specification The OWL specification consists of the following parts: OWL Web Ontology Language Overview (REC-2004/02/10), OWL Web Ontology Language Guide (REC-2004/02/10) an example, OWL Web Ontology Language Reference (REC-2004/02/10), OWL Web Ontology Language Semantics and Abstract Syntax (REC-2004/02/10), OWL Web Ontology Language XML Presentation Syntax (REC-2004/02/10) as well as further documents on test cases and use cases and requirements. OWL is an RDF vocabulary extension (i.e., it adds resources with defined formal semantics). The OWL namespace is Course on XML and Semantic Web Technologies, summer term /42

17 XML and Semantic Web Technologies / 2. OWL Basics Three Language Levels OWL Lite OWL DL (Description Logics) OWL Full Each OWL Lite document is an OWL DL document, each OWL DL document an OWL Full document. Each OWL Lite inference is an OWL DL inference, each OWL DL inference an OWL Full inference. Course on XML and Semantic Web Technologies, summer term /42 XML and Semantic Web Technologies / 2. OWL Basics Abstract Syntax (1/2) Abstract Syntax DL Syntax Semantics Descriptions (C) A (UR reference) A A owl:thing owl:thing = owl:nothing owl:nothing = {} intersectionof(c 1 C 2...) C 1 C 2 (C 1 D 1) = C1 D2 unionof(c 1 C 2...) C 1 C 2 (C 1 C 2) = C1 C2 complementof(c) C ( C) = \ C oneof(o 1...) {o 1,...} {o 1,...} = {o 1,...} restriction(r somevaluesfrom(c)) R.C ( R.C) = {x y. x, y R and y C } restriction(r allvaluesfrom(c)) R.C ( R.C) = {x y. x, y R y C } restriction(r hasvalue(o)) R : o ( R.o) = {x x, o R } restriction(r mincardinality(n)) n R ( n R) = {x ({y. x, y R }) n} restriction(r mincardinality(n)) n R ( n R) = {x ({y. x, y R }) n} restriction(u somevaluesfrom(d)) U.D ( U.D) = {x y. x, y U and y D D } restriction(u allvaluesfrom(d)) U.D ( U.D) = {x y. x, y U y D D } restriction(u hasvalue(v)) U : v (U : v) = {x x, v U } restriction(u mincardinality(n)) n U ( n U) = {x ({y. x, y U }) n} restriction(u maxcardinality(n)) n U ( n U) = {x ({y. x, y U }) n} Data Ranges (D) D (UR reference) D D D D oneof(v 1...) {v 1,...} {v 1,...} = {v1,...} Object Properties (R) R (UR reference) R R R (R ) = (R ) Datatype Properties (U) U (UR reference) U U D ndividuals (o) o (UR reference) o o Data Values (v) v (RDF literal) v v = v D Fig. 1. OWL DL Descriptions, Data Ranges, Properties, ndivdiuals, and Data Values Figure 2: Abstract OWL-DL syntax (1/2; Horrocks2003). Course on XML and Semantic Web Technologies, summer term /42

18 XML and Semantic Web Technologies / 2. OWL Basics Abstract Syntax (2/2) Abstract Syntax DL Syntax Semantics Class(A partial C 1...C n) A C 1... C n A C1... Cn Class(A complete C 1...C n) A = C 1... C n A = C1... Cn EnumeratedClass(A o 1...o n) A = {o 1,..., o n} A = {o 1,..., o n} SubClassOf(C 1 C 2) C 1 C 2 C1 C2 EquivalentClasses(C 1...C n) C 1 =... = C n C1 =... = Cn DisjointClasses(C 1...C n) C i C j =, i j Ci Cj {}, i j Datatype(D) D D DatatypeProperty(U super(u 1)...super(U n) U U i U Ui domain(c 1)...domain(C m) 1 U C i U Ci D range(d 1)...range(D l) U.D i U Di [Functional]) 1 U U is functional SubPropertyOf(U 1 U 2) U 1 U 2 U1 U2 EquivalentProperties(U 1...U n) U 1 =... = U n U1 =... = Un ObjectProperty(R super(r 1)...super(R n) R R i R Ri domain(c 1)...domain(C m) 1 R C i R Ci range(c 1)...range(C l) R.C i R Ci [inverseof(r 0] R = ( R 0) R = (R0 ) [Symmetric] R = ( R) R = (R ) [Functional] 1 R R is functional [nversefunctional] 1 R (R ) is functional [Transitive]) T r(r) R = (R ) + SubPropertyOf(R 1 R 2) R 1 R 2 R1 R2 EquivalentProperties(R 1...R n) R 1 =... = R n R1 =... = Rn AnnotationProperty(S) ndividual(o type(c 1)...type(C n) o C i o Ci value(r 1 o 1)...value(R n o n) o, o i R i o, o i Ri value(u 1 v 1)...value(U n v n)) o, v i U i o, vi Ui Samendividual(o 1...o n) o 1 =... = o n o i = o j Differentndividuals(o 1...o n) o i o j, i j o i o j, i j Fig. 2. OWL DL Axioms and Facts Figure 3: Abstract OWL-DL syntax (2/2; Horrocks2003). Course on XML and Semantic Web Technologies, summer term /42 XML and Semantic Web Technologies / 2. OWL Basics Example / OWL/abstract DL syntax 1 Class( Human complete ) 2 Class( Employed complete ) 3 ObjectProperty( partnerof ) 4 ObjectProperty( parentof ) SubClassOf( Employed Human ) 7 8 Class( DNK complete 9 Employed 10 restriction( partnerof somevaluesfrom( Employed ) ) 11 complementof( restriction ( parentof somevaluesfrom ( Human ) ) ) 12 ) Figure 4: DNK concept in OWL/abstract DL syntax. Course on XML and Semantic Web Technologies, summer term /42

19 XML and Semantic Web Technologies. Semantic Web / 2. Web Ontology Language (OWL) 1. Description Logics 2. OWL Basics 3. OWL in RDF 4. OWL XML Syntax Course on XML and Semantic Web Technologies, summer term /42 XML and Semantic Web Technologies / 3. OWL in RDF OWL Class Hierarchy rdfs:resource instance of / rdf:type is a / rdfs:subclassof rdfs:class rdf:property rdfs:container rdf:list rdfs:datatype owl:class owl:object Property owl:datatype Property owl:functional Property owl:thing owl:restriction owl:alldifferent owl:nothing owl:nverse FunctionalProperty owl:transitive Property owl:symmetric Property Figure 5: OWL Class Hierarchy. Course on XML and Semantic Web Technologies, summer term /42

20 XML and Semantic Web Technologies / 3. OWL in RDF for class descriptions: OWL RDF Vocabulary (1/2) owl:oneof (owl:class, rdf:list), owl:onproperty (owl:restriction, rdf:property), owl:allvaluesfrom (owl:restriction, owl:class rdfs:datatype), etc. owl:intersectionof (owl:class, rdf:list), owl:unionof (owl:class, rdf:list), owl:complementof (owl:class, owl:class), for class axioms: rdfs:subclassof (owl:class, owl:class), owl:equivalentclass (owl:class, owl:class), owl:disjointwith (owl:class, owl:class), Course on XML and Semantic Web Technologies, summer term /42 XML and Semantic Web Technologies / 3. OWL in RDF OWL RDF Vocabulary (2/2) for role / property descriptions and axioms: rdfs:subpropertyof (rdf:property, rdf:property), rdfs:domain (rdf:property, rdfs:class), rdfs:range (rdf:property, rdfs:class), owl:equivalentproperty (rdf:property, rdf:property) owl:inverseof (owl:objectproperty, owl:objectproperty), for individual axioms: owl:sameas (ndividual, ndividual), owl:differentfrom (ndividual, ndividual), owl:distinctmembers (owl:alldifferent, rdf:list), for datatypes: owl:oneof (rdfs:datarange, rdf:list) Course on XML and Semantic Web Technologies, summer term /42

21 XML and Semantic Web Technologies / 3. OWL in RDF RDF Schema Features: Class (Thing, Nothing) rdfs:subclassof intersectionof allvaluesfrom applied to class names only applied to class names only somevaluesfrom rdf:property DL unionof DL hasvalue rdfs:subpropertyof DL complementof Cardinality: rdfs:domain rdfs:range Boolean Combinations of Class Expressions: Class Axioms: DL oneof, datarange Restriction onproperty mincardinality only 0 or 1 ndividual (n)equality: Property Characteristics: ObjectProperty maxcardinality only 0 or 1 equivalentclass cardinality DatatypeProperty applied to class names only only 0 or 1 inverseof equivalentproperty (red: completely forbidden TransitiveProperty in OWL Lite; green: restricted in OWL Lite) DL disjointwith SymmetricProperty sameas Datatypes differentfrom FunctionalProperty xsd datatypes AllDifferent, nversefunctionalproperty Header nformation: distinct- Members Property Restrictions: Ontology imports Versioning: versionnfo priorversion backwardcompatiblewith incompatiblewith DeprecatedClass DeprecatedProperty Annotation Properties: rdfs:label rdfs:comment rdfs:seealso rdfs:isdefinedby AnnotationProperty OntologyProperty Course on XML and Semantic Web Technologies, summer term /42 XML and Semantic Web Technologies / 3. OWL in RDF Example / OWL/RDF/N3 1@prefix rdf: < 2@prefix rdfs: < 3@prefix owl: < 4@prefix : <#>. 5 6:Human rdf:type owl:class. 7:Employed rdf:type owl:class. 8:partnerOf rdf:type owl:objectproperty. 9:parentOf rdf:type owl:objectproperty. 10:Employed rdfs:subclassof :Human :DNK rdf:type owl:class ; 13 owl:intersectionof ( :Employed 14 [ rdf:type owl:restriction ; 15 owl:onproperty :partnerof ; owl:somevaluesfrom :Employed ] 16 [ owl:complementof 17 [ rdf:type owl:restriction ; 18 owl:onproperty :parentof ; owl:somevaluesfrom :Human ]] 19 ). Figure 6: DNK concept in OWL/RDF/N3. Course on XML and Semantic Web Technologies, summer term /42

22 XML and Semantic Web Technologies / 3. OWL in RDF Example / OWL/RDF/XML 12 <owl:class rdf:about="#human"/> 13 <owl:class rdf:about="#employed"> 14 <rdfs:subclassof rdf:resource="#human"/> 15 </owl:class> 16 <owl:objectproperty rdf:about="#parentof"/> 17 <owl:objectproperty rdf:about="#partnerof"/> 18 <owl:class rdf:about="#dnk"> 19 <owl:intersectionof rdf:parsetype="collection"> 20 <Employed/> 21 <owl:restriction> 22 <owl:onproperty rdf:resource="#partnerof"/> 23 <owl:somevaluesfrom rdf:resource="#employed"/></owl:restriction> 24 <owl:complementof> 25 <owl:restriction> 26 <owl:onproperty rdf:resource="#parentof"/> 27 <owl:somevaluesfrom rdf:resource="#human"/></owl:restriction> 28 </owl:complementof> 29 </owl:intersectionof> 30 </owl:class> Figure 7: DNK concept in OWL/RDF/XML (excerpt). Course on XML and Semantic Web Technologies, summer term /42 XML and Semantic Web Technologies. Semantic Web / 2. Web Ontology Language (OWL) 1. Description Logics 2. OWL Basics 3. OWL in RDF 4. OWL XML Syntax Course on XML and Semantic Web Technologies, summer term /42

23 XML and Semantic Web Technologies / 4. OWL XML Syntax OWL Abstract Syntax (for OWL-DL), OWL Syntaxes all kinds of RDF syntaxes: OWL/RDF/N3, OWL/RDF/XML, etc. OWL/XML syntax. Course on XML and Semantic Web Technologies, summer term /42 XML and Semantic Web Technologies / 4. OWL XML Syntax OWL/XML 3 schemata, one for each language level: OWL Lite (owl1-lite.xsd), OWL DL (owl1-dl.xsd), and OWL Full (owl1-full.xsd). namespace (usual prefix owlx) Please see OWL Web Ontology Language XML Presentation Syntax (REC-2004/02/10) for syntax details (not covered here explicitly due to time restrictions). Course on XML and Semantic Web Technologies, summer term /42

24 XML and Semantic Web Technologies / 4. OWL XML Syntax 1 <?xml version="1.0"?> 2 <owlx:ontology xmlns:owlx=" 3 name=" 4 <owlx:class owlx:name="human" owlx:complete="true"/> 5 <owlx:class owlx:name="employed" owlx:complete="false"> 6 <owlx:class owlx:name="human"/> 7 </owlx:class> 8 <owlx:objectproperty owlx:name="parentof"/> 9 <owlx:objectproperty owlx:name="partnerof"/> 10 <owlx:class owlx:name="dnk"> 11 <owlx:intersectionof> 12 <owlx:class name="employed"/> 13 <owlx:objectrestriction owlx:property="#partnerof"> 14 <owlx:somevaluesfrom owlx:class="employed"/></owlx:objectrestriction> 15 <owlx:complementof> 16 <owlx:objectrestriction owlx:property="#parentof"> 17 <owlx:somevaluesfrom owlx:class="human"/></owlx:objectrestriction> 18 </owlx:complementof> 19 </owlx:intersectionof> 20 </owlx:class> 21 </owlx:ontology> Figure 8: DNK concept in OWL/XML. Course on XML and Semantic Web Technologies, summer term /42

Semantic Web Technologies: Web Ontology Language

Semantic Web Technologies: Web Ontology Language Semantic Web Technologies: Web Ontology Language Motivation OWL Formal Semantic OWL Synopsis OWL Programming Introduction XML / XML Schema provides a portable framework for defining a syntax RDF forms

More information

Semantic Technologies

Semantic Technologies Semantic Technologies Part 14: Werner Nutt Acknowledgment These slides are based on the Latex version of slides by Markus Krötzsch of TU Dresden W. Nutt Semantic Technologies 2014/2015 (1/66) OWL W. Nutt

More information

Main topics: Presenter: Introduction to OWL Protégé, an ontology editor OWL 2 Semantic reasoner Summary TDT OWL

Main topics: Presenter: Introduction to OWL Protégé, an ontology editor OWL 2 Semantic reasoner Summary TDT OWL 1 TDT4215 Web Intelligence Main topics: Introduction to Web Ontology Language (OWL) Presenter: Stein L. Tomassen 2 Outline Introduction to OWL Protégé, an ontology editor OWL 2 Semantic reasoner Summary

More information

FOUNDATIONS OF SEMANTIC WEB TECHNOLOGIES

FOUNDATIONS OF SEMANTIC WEB TECHNOLOGIES FOUNDATIONS OF SEMANTIC WEB TECHNOLOGIES OWL Syntax & Intuition Sebastian Rudolph Dresden, 26 April 2013 Content Overview & XML 9 APR DS2 Hypertableau II 7 JUN DS5 Introduction into RDF 9 APR DS3 Tutorial

More information

Short notes about OWL 1

Short notes about OWL 1 University of Rome Tor Vergata Short notes about OWL 1 Manuel Fiorelli fiorelli@info.uniroma2.it [1] this presentation is limited to OWL 1 features. A new version of OWL (OWL 2), which adds further features

More information

OWL & SPARQL - 웹정보시스템

OWL & SPARQL - 웹정보시스템 - 웹정보시스템 - OWL & SPARQL 2009. 12 Sang-goo Lee School of Computer Science & Engineering Seoul National University, Seoul, Korea Seoul National University Seoul, Korea Copyright 2008~2009 SNU. All rights

More information

Description Logic. Eva Mráková,

Description Logic. Eva Mráková, Description Logic Eva Mráková, glum@fi.muni.cz Motivation: ontology individuals/objects/instances ElizabethII Philip Philip, Anne constants in FOPL concepts/classes/types Charles Anne Andrew Edward Male,

More information

KDI OWL. Fausto Giunchiglia and Mattia Fumagallli. University of Trento

KDI OWL. Fausto Giunchiglia and Mattia Fumagallli. University of Trento KDI OWL Fausto Giunchiglia and Mattia Fumagallli University of Trento Roadmap Introduction The OWL Full Language OWL DL and OWL lite Exercises 2 Introduction Chapter 1 3 Requirements for Ontology Languages

More information

Intelligent Agents. Pınar Yolum Utrecht University. Spring 2018 Pınar Yolum

Intelligent Agents. Pınar Yolum Utrecht University. Spring 2018 Pınar Yolum Intelligent Agents Pınar Yolum p.yolum@uu.nl Utrecht University Spring 2018 Pınar Yolum Web Ontology Language Spring 2018 Pınar Yolum Based largely on Dean Allemang; James Hendler, Semantic Web for the

More information

Web Ontology Language: OWL

Web Ontology Language: OWL Web Ontology Language: OWL Bojan Furlan A Semantic Web Primer, G. Antoniou, F. van Harmelen Requirements for Ontology Languages Ontology languages allow users to write explicit, formal conceptualizations

More information

Semantic Web. Ontology and OWL. Morteza Amini. Sharif University of Technology Fall 95-96

Semantic Web. Ontology and OWL. Morteza Amini. Sharif University of Technology Fall 95-96 ه عا ی Semantic Web Ontology and OWL Morteza Amini Sharif University of Technology Fall 95-96 Outline Introduction & Definitions Ontology Languages OWL (Ontology Web Language) 2 Outline Introduction &

More information

Chapter 2 AN INTRODUCTION TO THE OWL WEB ONTOLOGY LANGUAGE 1. INTRODUCTION. Jeff Heflin Lehigh University

Chapter 2 AN INTRODUCTION TO THE OWL WEB ONTOLOGY LANGUAGE 1. INTRODUCTION. Jeff Heflin Lehigh University Chapter 2 AN INTRODUCTION TO THE OWL WEB ONTOLOGY LANGUAGE Jeff Heflin Lehigh University Abstract: Key words: 1. INTRODUCTION The OWL Web Ontology Language is an international standard for encoding and

More information

Open Geospatial Consortium Inc.

Open Geospatial Consortium Inc. OGC 09-010 Open Geospatial Consortium Inc. Date: 2009-07-27 Reference number of this OGC project document: OGC 09-010 Version: 0.3.0 Category: OGC Discussion Paper Editor: Kristin Stock OGC Catalogue Services

More information

Table of Contents. iii

Table of Contents. iii Current Web 1 1.1 Current Web History 1 1.2 Current Web Characteristics 2 1.2.1 Current Web Features 2 1.2.2 Current Web Benefits 3 1.2.3. Current Web Applications 3 1.3 Why the Current Web is not Enough

More information

Web Ontology Language: OWL

Web Ontology Language: OWL Web Ontology Language: OWL Grigoris Antoniou Frank van Harmelen 1 Lecture Outline 1. Basic Ideas of OWL 2. The OWL Language 3. Examples 4. The OWL Namespace 5. Future Extensions 2 Requirements for Ontology

More information

Knowledge management. OWL Web Ontology Language

Knowledge management. OWL Web Ontology Language Knowledge management. OWL Web Ontology Language 1 RDF/RDFS RDF: triples for making assertions about resources RDFS extends RDF with schema vocabulary, e.g.: Class, Property type, subclassof, subpropertyof

More information

OWL an Ontology Language for the Semantic Web

OWL an Ontology Language for the Semantic Web OWL an Ontology Language for the Semantic Web Ian Horrocks horrocks@cs.man.ac.uk University of Manchester Manchester, UK OWL p. 1/27 Talk Outline OWL p. 2/27 Talk Outline The Semantic Web OWL p. 2/27 Talk

More information

OWL and tractability. Based on slides from Ian Horrocks and Franz Baader. Combining the strengths of UMIST and The Victoria University of Manchester

OWL and tractability. Based on slides from Ian Horrocks and Franz Baader. Combining the strengths of UMIST and The Victoria University of Manchester OWL and tractability Based on slides from Ian Horrocks and Franz Baader Where are we? OWL Reasoning DL Extensions Scalability OWL OWL in practice PL/FOL XML RDF(S)/SPARQL Practical Topics Repetition: DL

More information

JOURNAL OF OBJECT TECHNOLOGY

JOURNAL OF OBJECT TECHNOLOGY JOURNAL OF OBJECT TECHNOLOGY Online at http://www.jot.fm. Published by ETH Zurich, Chair of Software Engineering JOT, 2005 Vol. 4, No. 1, January-February 2005 Ontology Modeling and MDA Dragan Djurić,

More information

OWL a glimpse. OWL a glimpse (2) requirements for ontology languages. requirements for ontology languages

OWL a glimpse. OWL a glimpse (2) requirements for ontology languages. requirements for ontology languages OWL a glimpse OWL Web Ontology Language describes classes, properties and relations among conceptual objects lecture 7: owl - introduction of#27# ece#720,#winter# 12# 2# of#27# OWL a glimpse (2) requirements

More information

XML and Semantic Web Technologies. III. Semantic Web / 1. Ressource Description Framework (RDF)

XML and Semantic Web Technologies. III. Semantic Web / 1. Ressource Description Framework (RDF) XML and Semantic Web Technologies XML and Semantic Web Technologies III. Semantic Web / 1. Ressource Description Framework (RDF) Prof. Dr. Dr. Lars Schmidt-Thieme Information Systems and Machine Learning

More information

Lecture 8 OWL: Web Ontology Language

Lecture 8 OWL: Web Ontology Language info-h-509 xml technologies Lecture 8 OWL: Web Ontology Language Stijn Vansummeren February 14, 2017 lecture outline 1 Our story so far 2 Web Ontology Language OWL 3 Reasoning with OWL 1 Part I: Our story

More information

Web Ontology Language: OWL by Grigoris Antoniou Frank van Harmelen

Web Ontology Language: OWL by Grigoris Antoniou Frank van Harmelen Web Ontology Language: OWL by Grigoris Antoniou Frank van Harmelen Reference: `A Semantic Web Primer, by Grigoris Antoniou and Frank van Harmelen, The MIT Press, 2004 Lecture Outline 1. Basic Ideas of

More information

Knowledge management. OWL Web Ontology Language

Knowledge management. OWL Web Ontology Language RDF/RDFS Knowledge management. OWL Web Ontology Language RDF: triples for making assertions about resources RDFS extends RDF with schema vocabulary, e.g.: Class, Property type, subclassof, subpropertyof

More information

Semantic Web Ontologies

Semantic Web Ontologies Semantic Web Ontologies CS 431 April 4, 2005 Carl Lagoze Cornell University Acknowledgements: Alun Preece RDF Schemas Declaration of vocabularies classes, properties, and structures defined by a particular

More information

CC LA WEB DE DATOS PRIMAVERA Lecture 4: Web Ontology Language (I) Aidan Hogan

CC LA WEB DE DATOS PRIMAVERA Lecture 4: Web Ontology Language (I) Aidan Hogan CC6202-1 LA WEB DE DATOS PRIMAVERA 2015 Lecture 4: Web Ontology Language (I) Aidan Hogan aidhog@gmail.com PREVIOUSLY ON LA WEB DE DATOS (1) Data, (2) Rules/Ontologies, (3) Query, RDF: Resource Description

More information

OWL Web Ontology Language

OWL Web Ontology Language 1 de 14 09/05/2017 08:32 a.m. OWL Web Ontology Language Overview W3C Recommendation 10 February 2004 New Version Available: OWL 2 (Document Status Update, 12 November 2009) The OWL Working Group has produced

More information

Reducing OWL Entailment to Description Logic Satisfiability

Reducing OWL Entailment to Description Logic Satisfiability Reducing OWL Entailment to Description Logic Satisfiability Ian Horrocks 1 and Peter F. Patel-Schneider 2 1 Department of Computer Science University of Manchester Email: horrocks@cs.man.ac.uk 2 Bell Labs

More information

Reducing OWL Entailment to Description Logic Satisfiability

Reducing OWL Entailment to Description Logic Satisfiability Reducing OWL Entailment to Description Logic Satisfiability Ian Horrocks Department of Computer Science University of Manchester, Manchester, UK Peter F. Patel-Schneider Bell Labs Research, Lucent Technologies

More information

INF3580/4580 Semantic Technologies Spring 2017

INF3580/4580 Semantic Technologies Spring 2017 INF3580/4580 Semantic Technologies Spring 2017 Lecture 10: OWL, the Web Ontology Language Leif Harald Karlsen 20th March 2017 Department of Informatics University of Oslo Reminders Oblig. 5: First deadline

More information

Web Ontology Language: OWL

Web Ontology Language: OWL Web Ontology Language: OWL 1 Requirements for Ontology Languages Ontology languages allow users to write explicit, formal conceptualizations of domain models The main requirements are: a well-defined syntax

More information

Chapter 4 Web Ontology Language: OWL

Chapter 4 Web Ontology Language: OWL Web Ontology Language: OWL Grigoris Antoniou Frank van Harmelen 1 Lecture Outline 1. Basic Ideas of OWL 2. The OWL Language 3. Examples 4. The OWL Namespace 5. Future Extensions 2 Requirements for Ontology

More information

Reasoning with the Web Ontology Language (OWL)

Reasoning with the Web Ontology Language (OWL) Reasoning with the Web Ontology Language (OWL) JESSE WEAVER, PH.D. Fundamental & Computational Sciences Directorate, Senior Research Computer Scientist Discovery 2020 Short Course on Semantic Data Analysis

More information

Logical Foundations for the Semantic Web

Logical Foundations for the Semantic Web Logical Foundations for the Semantic Web Reasoning with Expressive Description Logics: Theory and Practice Ian Horrocks horrocks@cs.man.ac.uk University of Manchester Manchester, UK Logical Foundations

More information

INF3580 Semantic Technologies Spring 2012

INF3580 Semantic Technologies Spring 2012 INF3580 Semantic Technologies Spring 2012 Lecture 10: OWL, the Web Ontology Language Martin G. Skjæveland 20th March 2012 Department of Informatics University of Oslo Outline Reminder: RDFS 1 Reminder:

More information

Ontological Modeling: Part 7

Ontological Modeling: Part 7 Ontological Modeling: Part 7 Terry Halpin LogicBlox and INTI International University This is the seventh in a series of articles on ontology-based approaches to modeling. The main focus is on popular

More information

An Introduction to the Semantic Web. Jeff Heflin Lehigh University

An Introduction to the Semantic Web. Jeff Heflin Lehigh University An Introduction to the Semantic Web Jeff Heflin Lehigh University The Semantic Web Definition The Semantic Web is not a separate Web but an extension of the current one, in which information is given well-defined

More information

Querying Data through Ontologies

Querying Data through Ontologies Querying Data through Ontologies Instructor: Sebastian Link Thanks to Serge Abiteboul, Ioana Manolescu, Philippe Rigaux, Marie-Christine Rousset and Pierre Senellart Web Data Management and Distribution

More information

The Semantic Web RDF, RDF Schema, and OWL (Part 2)

The Semantic Web RDF, RDF Schema, and OWL (Part 2) The Semantic Web RDF, RDF Schema, and OWL (Part 2) Mitchell W. Smith Array BioPharma, Inc. msmith@arraybiopharma.com Page Agenda Part One: RDF RDF/XML Syntax RDF Schema SPARQL Part Two: OWL Ontologies

More information

7.2 OWL. the OWL versions use certain DL semantics:

7.2 OWL. the OWL versions use certain DL semantics: 7.2 OWL the OWL versions use certain DL semantics: Base: ALC R +: (i.e., with transitive roles). This logic is called S (reminiscent to its similarity to the modal logic S). roles can be ordered hierarchically

More information

Semantic Web in Depth: Web Ontology Language (OWL) Dr Nicholas Gibbins 32/3019

Semantic Web in Depth: Web Ontology Language (OWL) Dr Nicholas Gibbins 32/3019 Semantic Web in Depth: Web Ontology Language (OWL) Dr Nicholas Gibbins 32/3019 nmg@ecs.soton.ac.uk Introducing OWL For many, RDF Schema is a sufficiently expressive ontology language However, there are

More information

Ontologies and the Web Ontology Language OWL

Ontologies and the Web Ontology Language OWL Chapter 7 Ontologies and the Web Ontology Language OWL vocabularies can be defined by RDFS not so much stronger than the ER Model or UML (even weaker: no cardinalities) not only a conceptual model, but

More information

Semantic Web Technologies Web Ontology Language (OWL) Part II. Heiko Paulheim

Semantic Web Technologies Web Ontology Language (OWL) Part II. Heiko Paulheim Semantic Web Technologies Web Ontology Language (OWL) Part II Previously on Semantic Web Technologies We have got to know OWL, a more powerful ontology language than RDFS Simple ontologies and some reasoning

More information

OWL Tutorial. LD4P RareMat / ARTFrame Meeting Columbia University January 11-12, 2018

OWL Tutorial. LD4P RareMat / ARTFrame Meeting Columbia University January 11-12, 2018 OWL Tutorial LD4P RareMat / ARTFrame Meeting Columbia University January 11-12, 2018 Outline Goals RDF, RDFS, and OWL Inferencing OWL serializations OWL validation Demo: Building an OWL ontology in Protégé

More information

OWL 2 Web Ontology Language:Mapping to RDF Graphs W3C Working Draft 02 December 2008

OWL 2 Web Ontology Language:Mapping to RDF Graphs W3C Working Draft 02 December 2008 OWL 2 Web Ontology Language: Mapping to RDF Graphs W3C Working Draft 02 December 2008 This version: Latest version: http://www.w3.org/tr/owl2-mapping-to-rdf/ Previous version: http://www.w3.org/tr/2008/wd-owl2-mapping-to-rdf-20081008/

More information

2 nd International Semantic Web Conference (ISWC2003)

2 nd International Semantic Web Conference (ISWC2003) 2 nd International Semantic Web Conference (ISWC2003) Tutorial: Creating Semantic Web (OWL) Ontologies with Protégé Holger Knublauch, Mark A. Musen, Natasha F. Noy Sanibel Island, Florida, USA, October

More information

Goals. Introduction to Ontologybased. Service Semantics. Functional Semantics. Need more than XML Schema. Non-functional Semantics

Goals. Introduction to Ontologybased. Service Semantics. Functional Semantics. Need more than XML Schema. Non-functional Semantics Goals Introduction to Ontologybased Semantics Semantic Web, ontologies, RDF, OWL, N3 With thanks to Declan O Sullivan To provide some insight into the usefulness of ontologies To provide an understanding

More information

RDF AND SPARQL. Part III: Semantics of RDF(S) Dresden, August Sebastian Rudolph ICCL Summer School

RDF AND SPARQL. Part III: Semantics of RDF(S) Dresden, August Sebastian Rudolph ICCL Summer School RDF AND SPARQL Part III: Semantics of RDF(S) Sebastian Rudolph ICCL Summer School Dresden, August 2013 Agenda 1 Motivation and Considerations 2 Simple Entailment 3 RDF Entailment 4 RDFS Entailment 5 Downsides

More information

TMCL and OWL. Lars Marius Garshol. Bouvet, Oslo, Norway

TMCL and OWL. Lars Marius Garshol. Bouvet, Oslo, Norway TMCL and OWL Lars Marius Garshol Bouvet, Oslo, Norway larsga@bouvet.no Abstract. This paper compares the Topic Maps schema language TMCL with the corresponding RDF technologies RDFS/OWL, and describes

More information

OWL Full and UML 2.0 Compared

OWL Full and UML 2.0 Compared OWL Full and UML 2.0 Compared This document is intended to establish the relationship between the relevant features of UML 2.0 and OWL as part of the development of the Ontology Definition Metamodel (ODM).

More information

FOUNDATIONS OF SEMANTIC WEB TECHNOLOGIES

FOUNDATIONS OF SEMANTIC WEB TECHNOLOGIES FOUNDATIONS OF SEMANTIC WEB TECHNOLOGIES Semantics of RDF(S) Sebastian Rudolph Dresden, 25 April 2014 Content Overview & XML Introduction into RDF RDFS Syntax & Intuition Tutorial 1 RDFS Semantics RDFS

More information

FHIR RDF Sample side by side comparisons

FHIR RDF Sample side by side comparisons 1 2 FHIR RDF Sample side by side comparisons V10 Tony Mallia 12/1/15 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 Contents 1 Datatypes (section

More information

Knowledge Representation for the Semantic Web

Knowledge Representation for the Semantic Web Knowledge Representation for the Semantic Web Winter Quarter 2010 Pascal Hitzler Slides 6 02/04/2010 Kno.e.sis Center Wright State University, Dayton, OH http://www.knoesis.org/pascal/ KR4SW Winter 2010

More information

OWLET: An Object-Oriented Environment for OWL Ontology Management

OWLET: An Object-Oriented Environment for OWL Ontology Management Proceedings of the 11th WSEAS International Conference on COMPUTERS, Agios Nikolaos, Crete Island, Greece, July 26-28, 2007 44 OWLET: An Object-Oriented Environment for OWL Ontology Management Agostino

More information

Appendix 1. Description Logic Terminology

Appendix 1. Description Logic Terminology Appendix 1 Description Logic Terminology Franz Baader Abstract The purpose of this appendix is to introduce (in a compact manner) the syntax and semantics of the most prominent DLs occurring in this handbook.

More information

Appendix 1. Description Logic Terminology

Appendix 1. Description Logic Terminology Appendix 1 Description Logic Terminology Franz Baader Abstract The purpose of this appendix is to introduce (in a compact manner) the syntax and semantics of the most prominent DLs occurring in this handbook.

More information

OWL Web Ontology Language

OWL Web Ontology Language Mustafa Jarrar Lecture Notes, Knowledge Engineering (SCOM7348) University of Birzeit 1 st Semester, 2011 Knowledge Engineering (SCOM7348) OWL Web Ontology Language Dr. Mustafa Jarrar University of Birzeit

More information

Reducing OWL Entailment to Description Logic Satisfiability

Reducing OWL Entailment to Description Logic Satisfiability Reducing OWL Entailment to Description Logic Satisfiability Ian Horrocks 1 and Peter F. Patel-Schneider 2 1 Department of Computer Science University of Manchester Email: horrocks@cs.man.ac.uk 2 Bell Labs

More information

FOUNDATIONS OF SEMANTIC WEB TECHNOLOGIES

FOUNDATIONS OF SEMANTIC WEB TECHNOLOGIES FOUNDATIONS OF SEMANTIC WEB TECHNOLOGIES Semantics of RDF(S) Sebastian Rudolph Dresden, 16 April 2013 Agenda 1 Motivation and Considerations 2 Simple Entailment 3 RDF Entailment 4 RDFS Entailment 5 Downsides

More information

Today: RDF syntax. + conjunctive queries for OWL. KR4SW Winter 2010 Pascal Hitzler 3

Today: RDF syntax. + conjunctive queries for OWL. KR4SW Winter 2010 Pascal Hitzler 3 Today: RDF syntax + conjunctive queries for OWL KR4SW Winter 2010 Pascal Hitzler 3 Today s Session: RDF Schema 1. Motivation 2. Classes and Class Hierarchies 3. Properties and Property Hierarchies 4. Property

More information

Deep integration of Python with Semantic Web technologies

Deep integration of Python with Semantic Web technologies Deep integration of Python with Semantic Web technologies Marian Babik, Ladislav Hluchy Intelligent and Knowledge Technologies Group Institute of Informatics, SAS Goals of the presentation Brief introduction

More information

l A family of logic based KR formalisms l Distinguished by: l Decidable fragments of FOL l Closely related to Propositional Modal & Dynamic Logics

l A family of logic based KR formalisms l Distinguished by: l Decidable fragments of FOL l Closely related to Propositional Modal & Dynamic Logics What Are Description Logics? Description Logics l A family of logic based KR formalisms Descendants of semantic networks and KL-ONE Describe domain in terms of concepts (classes), roles (relationships)

More information

9 The Ontology UML Profile

9 The Ontology UML Profile 9 The Ontology UML Profile UML profile is a concept used for adapting the basic UML constructs to a specific purpose. Essentially, this means introducing new kinds of modeling elements by extending the

More information

Logic and Reasoning in the Semantic Web (part I RDF/RDFS)

Logic and Reasoning in the Semantic Web (part I RDF/RDFS) Logic and Reasoning in the Semantic Web (part I RDF/RDFS) Fulvio Corno, Laura Farinetti Politecnico di Torino Dipartimento di Automatica e Informatica e-lite Research Group http://elite.polito.it Outline

More information

Semantic Web KM: A Knowledge Machine for Semantic Webs

Semantic Web KM: A Knowledge Machine for Semantic Webs SIG-SWO-044-07 KM Semantic Web KM: A Knowledge Machine for Semantic Webs 1,2 1,3 Seiji Koide 1,2 Hideaki Takeda 1,3 1 1 National Institute of Informatics 2 2 Ontolonomy, LLC 3 3 SOKENDAI Univ. (The Graduate

More information

The Semantic Web. Craig Knoblock. (based on slides by Yolanda Gil, Ian Horrocks, Jose Luis Ambite, and Tom Russ)

The Semantic Web. Craig Knoblock. (based on slides by Yolanda Gil, Ian Horrocks, Jose Luis Ambite, and Tom Russ) The Semantic Web Craig Knoblock (based on slides by Yolanda Gil, Ian Horrocks, Jose Luis Ambite, and Tom Russ) The Semantic Web W3C s Tim Berners-Lee: Weaving the Web : I have a dream for the Web and it

More information

OWL-based reasoning with retractable inference

OWL-based reasoning with retractable inference OWL-based reasoning with retractable inference Carlo Jelmini and Stéphane Marchand-Maillet Viper Group CVML University of Geneva 1211 Geneva 4 Switzerland {jelmini, marchand}@cui.unige.ch Abstract As a

More information

Why Ontologies? RRDIU - Semantic Web 2

Why Ontologies? RRDIU - Semantic Web 2 Ontologies OWL2 Why Ontologies? 2019-01-21 01RRDIU - Semantic Web 2 Semantics Knowledge Organizazion Systems Term Lists Authority files Glossaries Dictionaries, Vocabularies Gazetteers Classifications

More information

12th ICCRTS. On the Automated Generation of an OWL Ontology based on the Joint C3 Information Exchange Data Model (JC3IEDM)

12th ICCRTS. On the Automated Generation of an OWL Ontology based on the Joint C3 Information Exchange Data Model (JC3IEDM) 12th ICCRTS On the Automated Generation of an OWL Ontology based on the Joint C3 Information Exchange Data Model (JC3IEDM) Christopher J. Matheus and Brian Ulicny VIStology, Inc. Framingham, MA, U.S.A.

More information

An RDF-based Distributed Expert System

An RDF-based Distributed Expert System An RDF-based Distributed Expert System NAPAT PRAPAKORN*, SUPHAMIT CHITTAYASOTHORN** Department of Computer Engineering King Mongkut's Institute of Technology Ladkrabang Faculty of Engineering, Bangkok

More information

Chapter 4 OWL. Outline. A Brief History of OWL: SHOE. The OWL Family Tree

Chapter 4 OWL. Outline. A Brief History of OWL: SHOE. The OWL Family Tree Chapter 4 OWL Outline 1. A bit of history 2. Basic Ideas of OWL 3. The OWL Language 4. Examples 5. The OWL Namespace 6. Future Extensions Based on slides from Grigoris Antoniou and Frank van Harmelen The

More information

Formalising the Semantic Web. (These slides have been written by Axel Polleres, WU Vienna)

Formalising the Semantic Web. (These slides have been written by Axel Polleres, WU Vienna) Formalising the Semantic Web (These slides have been written by Axel Polleres, WU Vienna) The Semantics of RDF graphs Consider the following RDF data (written in Turtle): @prefix rdfs: .

More information

DEVELOPING AN OWL ONTOLOGY FOR E- TOURISM

DEVELOPING AN OWL ONTOLOGY FOR E- TOURISM Chapter 4 DEVELOPING AN OWL ONTOLOGY FOR E- TOURISM Jorge Cardoso Department of Mathematics and Engineering, University of Madeira, 9000-390, Funchal, Portugal jcardoso@uma.pt 1. INTRODUCTION Currently,

More information

University of Dublin Trinity College. RDF Schema and OWL

University of Dublin Trinity College. RDF Schema and OWL University of Dublin Trinity College RDF Schema and OWL RDF Vocabulary Description Language 1.0: RDF Schema Web Ontology Language Adapted from course notes of Rob Brennan, TCD, Declan O Sullivan, TCD and

More information

Ontology-based Metadata for MidArch-Styles

Ontology-based Metadata for MidArch-Styles Fakultät II Informatik, Wirtschafts- und Rechtswissenschaften Department für Informatik Abteilung Software Engineering Diploma Thesis Ontology-based Metadata for MidArch-Styles Reiner Jung 7th May 2008

More information

Knowledge Engineering with Semantic Web Technologies

Knowledge Engineering with Semantic Web Technologies This file is licensed under the Creative Commons Attribution-NonCommercial 3.0 (CC BY-NC 3.0) Knowledge Engineering with Semantic Web Technologies Lecture 3 Ontologies and Logic 3.7 Description Logics

More information

D20.1 v0.2 OWL Flight

D20.1 v0.2 OWL Flight WSML Deliverable D20.1 v0.2 OWL Flight WSML Working Draft July 19, 2004 Authors: Jos de Bruijn Axel Polleres Dieter Fensel Editors: Jos de Bruijn Reviewers: Boris Motik This version: http://www.wsmo.org/2004/d20/d20.1/v0.2/20040719/

More information

Bryan Smith May 2010

Bryan Smith May 2010 Bryan Smith May 2010 Tool (Onto2SMem) to generate declarative knowledge base in SMem from ontology Sound (if incomplete) inference Proof of concept Baseline implementation Semantic memory (SMem) Store

More information

RDF /RDF-S Providing Framework Support to OWL Ontologies

RDF /RDF-S Providing Framework Support to OWL Ontologies RDF /RDF-S Providing Framework Support to OWL Ontologies Rajiv Pandey #, Dr.Sanjay Dwivedi * # Amity Institute of information Technology, Amity University Lucknow,India * Dept.Of Computer Science,BBA University

More information

WSML Deliverable. D20 v0.1. OWL Lite. WSML Working Draft June 21, 2004

WSML Deliverable. D20 v0.1. OWL Lite. WSML Working Draft June 21, 2004 WSML Deliverable D20 v0.1 OWL Lite WSML Working Draft June 21, 2004 Authors: Jos de Bruijn Dieter Fensel Axel Polleres Editors: Jos de Bruijn Reviewers: Boris Motik This version: http://www.wsmo.org/2004/d20/v0.1/20040621/

More information

Simplified Approach for Representing Part-Whole Relations in OWL-DL Ontologies

Simplified Approach for Representing Part-Whole Relations in OWL-DL Ontologies Simplified Approach for Representing Part-Whole Relations in OWL-DL Ontologies Pace University IEEE BigDataSecurity, 2015 Aug. 24, 2015 Outline Ontology and Knowledge Representation 1 Ontology and Knowledge

More information

3/6/08. Introduction to Ontology Web Language (OWL) Graphs. Representing knowledge. Graphs as knowledge 2. Graphs as knowledge 1

3/6/08. Introduction to Ontology Web Language (OWL) Graphs. Representing knowledge. Graphs as knowledge 2. Graphs as knowledge 1 University of Dublin Trinity College Stack Architecture for Semantic Web Introduction to Ontology Web Language (OWL) Dr. Owen Conlan Intro to OWL Declan O Sullivan 2 Representing knowledge There are a

More information

Reasoning with DAML+OIL:

Reasoning with DAML+OIL: Reasoning with DAML+OIL: What can it do for YOU? Ian Horrocks horrocks@cs.man.ac.uk University of Manchester Manchester, UK DAML PI meeting, Nashua, July 2001 p.1/9 DAML+OIL Language Overview DAML+OIL

More information

SEMANTIC WEB 05 RDF SCHEMA MODELLING SEMANTICS IMRAN IHSAN ASSISTANT PROFESSOR, AIR UNIVERSITY, ISLAMABAD

SEMANTIC WEB 05 RDF SCHEMA MODELLING SEMANTICS IMRAN IHSAN ASSISTANT PROFESSOR, AIR UNIVERSITY, ISLAMABAD SEMANTIC WEB 05 RDF SCHEMA MODELLING SEMANTICS IMRAN IHSAN ASSISTANT PROFESSOR, AIR UNIVERSITY, ISLAMABAD WWW.IMRANIHSAN.COM INTRODUCTION RDF has a very simple data model RDF Schema (RDFS) enriches the

More information

LECTURE 09 RDF: SCHEMA - AN INTRODUCTION

LECTURE 09 RDF: SCHEMA - AN INTRODUCTION SEMANTIC WEB LECTURE 09 RDF: SCHEMA - AN INTRODUCTION IMRAN IHSAN ASSISTANT PROFESSOR AIR UNIVERSITY, ISLAMABAD THE SEMANTIC WEB LAYER CAKE 2 SW S16 09- RDFs: RDF Schema 1 IMPORTANT ASSUMPTION The following

More information

Ontologies and OWL. Riccardo Rosati. Knowledge Representation and Semantic Technologies

Ontologies and OWL. Riccardo Rosati. Knowledge Representation and Semantic Technologies Knowledge Representation and Semantic Technologies Ontologies and OWL Riccardo Rosati Corso di Laurea Magistrale in Ingegneria Informatica Sapienza Università di Roma 2016/2017 The Semantic Web Tower Ontologies

More information

Racer - An Inference Engine for the Semantic Web

Racer - An Inference Engine for the Semantic Web Racer - An Inference Engine for the Semantic Web Concordia University Department of Computer Science and Software Enineering http://www.cse.concordia.ca/~haarslev/ Collaboration with: Ralf Möller, Hamburg

More information

Semantic Web Services and OOP toward Unified Services

Semantic Web Services and OOP toward Unified Services Semantic Web Services and OOP toward Unified Services Seiji Koide Galaxy Express Corporation OMG Model Driven Architecture Automatic Code Generation And Reverse Engineering Platform Independent Model (PIM)

More information

LINKING BACKGROUND INFORMATION

LINKING BACKGROUND INFORMATION LINKING BACKGROUND INFORMATION INTERLINK D4 Appendix 4, Michel Böhms (TNO) With input from EU V-CON and bsi LDWG OVERVIEW Basic Linking More Background Info on L1/L2/L3 semantic levels Advanced Linking

More information

SOWL QL : Querying Spatio-Temporal Ontologies In OWL 2.0

SOWL QL : Querying Spatio-Temporal Ontologies In OWL 2.0 SOWL QL : Querying Spatio-Temporal Ontologies In OWL 2.0 Stravoskoufos Konstantinos Master s thesis, April 25, 2013 Department of Electronic & Computer Engineering Technical University of Crete (TUC) Abstract

More information

The State of the Art: Ontology Web- Based Languages: XML Based

The State of the Art: Ontology Web- Based Languages: XML Based WWW.JOURNALOFCOMPUTING.ORG 166 The State of the Art: Ontology Web- Based Languages: XML Based Mohammad Mustafa Taye Department of Software Engineering Faculty of Information Technology Philadelphia University,

More information

Logik für Informatiker Logic for computer scientists. Ontologies: Description Logics

Logik für Informatiker Logic for computer scientists. Ontologies: Description Logics Logik für Informatiker for computer scientists Ontologies: Description s WiSe 2009/10 Ontology languages description logics (efficiently decidable fragments of first-order logic) used for domain ontologies

More information

OWL 2 Web Ontology Language Primer W3C Recommendation 27 October 2009

OWL 2 Web Ontology Language Primer W3C Recommendation 27 October 2009 OWL 2 Web Ontology Language Primer W3C Recommendation 27 October 2009 This version: Latest version (series 2: http://www.w3.org/tr/owl2-primer/ Latest Recommendation: http://www.w3.org/tr/owl-primer Previous

More information

Contents. G52IWS: The Semantic Web. The Semantic Web. Semantic web elements. Semantic Web technologies. Semantic Web Services

Contents. G52IWS: The Semantic Web. The Semantic Web. Semantic web elements. Semantic Web technologies. Semantic Web Services Contents G52IWS: The Semantic Web Chris Greenhalgh 2007-11-10 Introduction to the Semantic Web Semantic Web technologies Overview RDF OWL Semantic Web Services Concluding comments 1 See Developing Semantic

More information

OWL 2 Web Ontology Language Primer

OWL 2 Web Ontology Language Primer OWL 2 Web Ontology Language Primer W3C Working Draft 21 April 2009 This version: Latest version: http://www.w3.org/tr/owl2-primer/ Previous version: http://www.w3.org/tr/2008/wd-owl2-primer-20080411/ Authors:

More information

Exercise 3.1 (Win-Move Game: Draw Nodes) Consider again the Win-Move-Game. There, WinNodes and LoseNodes have been axiomatized.

Exercise 3.1 (Win-Move Game: Draw Nodes) Consider again the Win-Move-Game. There, WinNodes and LoseNodes have been axiomatized. Semantic Web 12 3. Unit: OWL Exercise 3.1 (Win-Move Game: Draw Nodes) Consider again the Win-Move-Game. There, WinNodes and LoseNodes have been axiomatized. a) Is it possible to characterize DrawNodes

More information

RDF Schema. Mario Arrigoni Neri

RDF Schema. Mario Arrigoni Neri RDF Schema Mario Arrigoni Neri Semantic heterogeneity Standardization: commitment on common shared markup If no existing application If market-leaders can define de-facto standards Translation: create

More information

Integrating Ontologies and Relational Data

Integrating Ontologies and Relational Data University of Pennsylvania ScholarlyCommons Technical Reports (CIS) Department of Computer & Information Science November 2007 Integrating Ontologies and Relational Data Sören Auer University of Pennsylvania,

More information

08 OWL SEMANTIC WEB ONTOLOGY WEB LANGUAGE IMRAN IHSAN ASSISTANT PROFESSOR, AIR UNIVERSITY, ISLAMABAD

08 OWL SEMANTIC WEB ONTOLOGY WEB LANGUAGE IMRAN IHSAN ASSISTANT PROFESSOR, AIR UNIVERSITY, ISLAMABAD SEMANTIC WEB 08 OWL ONTOLOGY WEB LANGUAGE IMRAN IHSAN ASSISTANT PROFESSOR, AIR UNIVERSITY, ISLAMABAD WWW.IMRANIHSAN.COM BASED ON SLIDES FROM GRIGORIS ANTONIOU AND FRANK VAN HARMELEN THE OWL FAMILY TREE

More information

Appendix B: The LCA ontology (lca.owl)

Appendix B: The LCA ontology (lca.owl) Appendix B: The LCA ontology (lca.owl)

More information