Description Logic. Eva Mráková,

Size: px
Start display at page:

Download "Description Logic. Eva Mráková,"

Transcription

1 Description Logic Eva Mráková,

2 Motivation: ontology individuals/objects/instances ElizabethII Philip Philip, Anne constants in FOPL concepts/classes/types Charles Anne Andrew Edward Male, Female unary predicates in FOPL roles/realtions/properties William Henry haschild(charles,henry) binary predicates in FOPL Male Female hashusband haschild

3 Ontology languages formal definition: ontology formal specification of a conceptualisation description of a particular domain books, friends, family, courses main requirements: well-defined syntax well-defined semantics efficient reasoning support sufficient expressive power our goal: web ontology languages (RDF, OWL,...)

4 Description logics (DL) terminological systems, concept languages knowledge representation (KR) formalism fragments of FOPL (no function symbols R(f(x,y)), max. binary relations not e.g. R(x,y,z)) family of calculuses with different expressive power SHIO, SHOIN, ALC,... theory (set of axioms) in DL ontology formal basis for reasoning semantic web

5 KR in DL: Tbox and Abox DL Knowledge base Tbox (Terminology, about concepts) ElizabethII Philip Person Male Female Parent haschild.person GrandParent haschild. haschild.person... Charles Anne Andrew Edward Abox (Assertions, about individuals) William Henry Female(ElizabethII) Female(Anne) Male(Philip) Male(Charles) Male(Andrew)... hashusband(elizabethii,philip) haschild(elizabethii,charles) haschild(elizabethii,anne)... Male Female hashusband haschild

6 AL: basic description language attributive language syntax and semantics: syntax semantics description example/note A A I atomic concept Male I universal concept Thing (instances: every individual) Ø empty concept Nothing (no instances) A I A I atomic negation Female C D C I I D intersection Parent Male R.C {a I b.(a,b) R I b C I } value restriction haschild.male R. {a I b.(a,b) R I } limited existential quantification haschild. C D C I =D I concept/role Father Parent Male R S R I =S I equality haschild parentof C D C I D I concept inclusion Father Parent C(a) a I C I concept assertion Male(Henry) R(a,b) (a I,b I ) R I role assertion haschild(charles,henry) C,D concepts, R,S roles, I=( I, I ) interpretation another syntax of assertions: a:c, (a,b):r

7 Extending AL further constructors more expressive syntax semantics description symbol example C I C I complex negation C ( haschild.male) C D C I D I union U Female Male R.C {a I b.(a,b) R I b C I } existential E haschild.female b are R-fillers quantification n R {a I {b I unqualified number N 3 haschild = analog. (a,b) R I } n} restriction n R.C {a I {b I qualified number Q 2 haschild.male = analog. (a,b) R I b C I } n} restriction J R S J I I, J I = 1 R I S I nominals role inclusion (role hierarchy) O H Queen {ElizabethII} R {(b,a) I I (a,b) R I } inverse role I parentof haschild R + n 1 (R I ) n transitive closure +ALC = S concrete domain, e.g. integer data types/values hashusband marriedto hasdescendant haschild + (D) hasage. 18 many other extensions (functional roles, role composition, role intersection, reflexive closure,...) slightly different definitions of some symbols in different resources (!) naming: ALC is AL plus complex negation (C ~ UE but ALC is preferred to ALUE) SHOIN (D) is S plus role hierarchy, nominals, inverse roles, unqualified number restriction and data types (used in OWL DL) other examples: ALCN, ALUNI, SHIQ, SHIF, SROIQ (D)

8 Tbox: Reasoning: tasks satisfiability: Is C satisfiable? (unsatisfiable: has necessarily empty extension in every model, e.g. C Male C Female Male Female ) subsumption: Is C D? (reduction to unsatisfiability: C D C D is unsatisfiable) equivalence: Is C D? (reduction to unsatisfiability: C D both C D and C D are unsatisfiable) disjointness: Are C and D disjoint (i.e. C D )? (reduction to unsatisfiability: C and D are disjoint C D is unsatisfiable) Abox + Tbox: consistency: Is Abox consistent wrt Tbox? (inconsistency: axioms cannot be satisfied simultaneously, e.g. Male(Tony) Female(Tony) Male Female ) relationship tasks: check an individual (e.g. Charles): is it an instance of a concept (e.g. Parent)?, retrieval of individuals (find all instances of a concept), realization of an individual (find its most specific concept),...

9 Reasoning: importance for designing, integrating and sharing (large) ontologies checking consistency checking unintended relationships deriving all true sentences (to better understand the ontology) reduction of redundancy (equivalent concepts) automatic classification of instances

10 Reasoning: complexity in general: the ritcher the language, the less efficient reasoning examples of subsumption computational complexities AL: PTIME ALC: PSPACE SHIF: EXPTIME SHOIN: NEXPTIME implemented reasoners are optimised for real applications algorithms logical (dominant approach: tableaux) structural (problems with completeness)

11 Tableaux: ALC, subsumption Is C D? e.g. (( R.A) ( R.B)) R.(A B) C D C D is unsatisfiable ( R.A) ( R.B) R.(A B) transformation C D into negation normal form (de Morgan rules + usual rules for : push all as far as possible) ( R.A) ( R.B) R.( A B) tableau for (C D)(a) (( R.A) ( R.B) R.( A B))(a) a - new individual symbol representation: expanded Abox assertion atomic tableaux: A(x),R(x,y), A(x), R(x,y),,,, almost the same as for FOPL, not signed tableaux (every entry is True) another approach: sets + rules sound, complete, terminating

12 Atomic tableaux (ALC, ) A(x) A(x) R(x,y) R(x,y) A atomic concept R role (C1 C2)(x) C1(x) C2(x) (C1 C2)(x) C1(x) C2(x) ( R.C)(x) ( R.C)(x) R(x,y) C(y) new y C(y) for all x: R(x,y) is on the expanded path

13 (( R.A) ( R.B) ( R.( A B)))(a) ( R.A)(a) ( R.B)(a) ( R.( A B))(a) R(a,b) A(b) R(a,c) B(c) new b new c ( R.( A B))(a) ( A B)(b) ( R.( A B))(a) ( A B)(c) ( A)(b) ( B)(b) ( A)(c) ( B)(c)

14 Tableaux: Abox consistency principle: infers constraints on (elements of) model common representation: directed graph Person(ElizabethII) Person(Charles) haschild(elizabethii,charles) GrandParent(ElizabethII) GrandParent haschild. haschild.person Abox + Tbox EII haschild Ch haschild? Person GrandParent haschild. haschild.person Person haschild.person Person

15 RDF (Resource Description Framework) (graphical) formalism for describing the semantics of information in a machine-accessible way triples <subject,predicate,object> (URIs, literals) W3C recommendation, XML syntax problems: complicated syntax, separated from web content (solution: RDFa?) <rdf:description rdf:about="charles"> <haschild rdf:resource="william"/> </rdf:description> <rdf:rdf xmlns:rdf=" xmlns:foaf=" <rdf:description rdf:about=" <foaf:homepage rdf:resource=" </rdf:description> </rdf:rdf>

16 RDFS (RDF Schema) RDF Vocabulary Description Language allows to define vocabulary terms, relations between them, restrictions e.g. Class, Property, type, subclassof, range, domain examples (symbolic) <Person,type,Class> <haschild,type,property> <Male,subClassOf,Person> <Charles,type,Male> <haschild,range,person> <haschild,domain,person>

17 OWL (Web Ontology Language) RDF(S) cannot model many features: local scopes, disjointness, construct classes, cardinality,... OWL: 'extra layer', built on top of RDF(S) own namespace, rich set of modelling constructors W3C recommendation, XML syntax based on its predcessor language DAML+OIL 3 'species': OWL Lite, OWL DL, OWL Full Protégé: ontology editor (incl. RDF(S), OWL)

18 OWL variants OWL Lite essentially SHIF (D) simple, easy to implement OWL DL essentially SHOIN (D) superset of OWL Lite guaranteed decidability OWL Full no restrictions (maximal expressiveness) no computational guarantees (not decidable)

19 special classes ( ) owl:thing owl:nothing universal property owl:topobjectproperty OWL: examples subclass (Child Person), subproperty (hashusband marriedto) <owl:class rdf:about="child"> <rdfs:subclassof rdf:resource="person"/> </owl:class> <owl:objectproperty rdf:about="hashusband"> <rdfs:subpropertyof rdf:resource="marriedto"/> </owl:objectproperty>

20 OWL: more examples quantification ( haschild.female, haschild.female) <owl:restriction> <owl:onproperty rdf:resource="haschild"/> <owl:somevaluesfrom rdf:resource= Female"/> </owl:restriction> <owl:restriction> <owl:onproperty rdf:resource="haschild"/> <owl:allvaluesfrom rdf:resource= Female"/> </owl:restriction> union, intersection (Male Female, Parent Male) <owl:unionof rdf:parsetype="collection"> <owl:class rdf:about="male"/> <owl:class rdf:about="female"/> </owl:unionof> <owl:intersectionof rdf:parsetype="collection"> <owl:class rdf:about="parent"/> <owl:class rdf:about="male"/> </owl:intersectionof>

21 Summary ontology: provides a mechanism to capture semantics of some domain of interest DL: formal platform for representing ontologies and their automated reasoning (tableau algorithms) RDF: basic (web) ontology language, triples <subject,predicate,object> RDF(S): semantically extends RDF, provides the means to describe application specific RDF vocabularies OWL: standard in web ontology languages, built on top of RDF(S), rich set of constructors, based on DL

22 References (+further reading) The Description Logic Handbook Tutorial on OWL Introduction to Semantic Web Ontology Languages Ontologies and OWL Wikipedia: Description logic

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

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

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

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

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

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

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

AI Fundamentals: Knowledge Representation and Reasoning. Maria Simi

AI Fundamentals: Knowledge Representation and Reasoning. Maria Simi AI Fundamentals: Knowledge Representation and Reasoning Maria Simi Description logics LESSON 6: SYNTAX AND SEMANTICS, DECISION PROBLEMS, INFERENCE Categories and objects [AIMA, Cap 12] Most of the reasoning

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

Principles of Knowledge Representation and Reasoning

Principles of Knowledge Representation and Reasoning Principles of Knowledge Representation and Semantic Networks and Description Logics II: Description Logics Terminology and Notation Albert-Ludwigs-Universität Freiburg Bernhard Nebel, Stefan Wölfl, and

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

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

Semantic Web. Part 3 The ontology layer 1: Ontologies, Description Logics, and OWL

Semantic Web. Part 3 The ontology layer 1: Ontologies, Description Logics, and OWL Semantic Web Part 3 The ontology layer 1: Ontologies, Description Logics, and OWL Riccardo Rosati Corso di Laurea Magistrale in Ingegneria Informatica Sapienza Università di Roma 2012/2013 REMARK Most

More information

For return on 19 January 2018 (late submission: 2 February 2018)

For return on 19 January 2018 (late submission: 2 February 2018) Semantic Technologies Autumn 2017 Coursework For return on 19 January 2018 (late submission: 2 February 2018) Electronic submission:.pdf and.owl files only 1. (6%) Consider the following XML document:

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

Ontologies, OWL, OWL profiles

Ontologies, OWL, OWL profiles Knowledge Representation and Semantic Technologies Ontologies, OWL, OWL profiles Riccardo Rosati Corso di Laurea Magistrale in Ingegneria Informatica Sapienza Università di Roma 2013/2014 The Semantic

More information

Reasoning and Query Answering in Description Logics

Reasoning and Query Answering in Description Logics Reasoning and Query Answering in Description Logics Magdalena Ortiz Vienna University of Technology AMW School, 20 May 2013 1/117 Reasoning and Querying in DLs 1. Motivation Ontologies An ontology is a

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

OWL 2 Syntax and Semantics Sebastian Rudolph

OWL 2 Syntax and Semantics Sebastian Rudolph FOUNDATIONS OF SEMANTIC WEB TECHNOLOGIES OWL 2 Syntax and Semantics Sebastian Rudolph OWL OWL Agenda Recap OWL & Overview OWL 2 The Description Logic SROIQ Inferencing with SROIQ OWL 2 DL OWL 2 Profiles

More information

Description Logics: A Logical Foundation of the Semantic Web and its Applications

Description Logics: A Logical Foundation of the Semantic Web and its Applications Description Logics and Semantic Web Description Logics: A Logical Foundation of the Semantic Web and its Applications Volker Haarslev Concordia University, Computer Science Department 1455 de Maisonneuve

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

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

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

Description Logics and OWL

Description Logics and OWL Description Logics and OWL Based on slides from Ian Horrocks University of Manchester (now in Oxford) Where are we? OWL Reasoning DL Extensions Scalability OWL OWL in practice PL/FOL XML RDF(S)/SPARQL

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

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

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

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

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

FOUNDATIONS OF SEMANTIC WEB TECHNOLOGIES

FOUNDATIONS OF SEMANTIC WEB TECHNOLOGIES FOUNDATIONS OF SEMANTIC WEB TECHNOLOGIES OWL 2 Syntax and Semantics Markus Krötzsch Dresden, 16 May 2014 Content Overview & XML Introduction into RDF RDFS Syntax & Intuition Tutorial 1 RDFS Semantics RDFS

More information

Description Logics. F. Description Logics. This section is based on material from Ian Horrocks:

Description Logics. F. Description Logics. This section is based on material from Ian Horrocks: Description Logics F. Description Logics OWL DL ist äquivalent zur Beschreibungslogik SHOIN(D n ). Auf letzterer basiert also die Semantik von OWL DL. Unter Beschreibungslogiken (Description Logics) versteht

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

Standardization of Ontologies

Standardization of Ontologies Standardization of Ontologies Kore Nordmann TU Dortmund March 17, 2009 Outline History Related technologies Ontology development General history HTML UNTANGLE HTML 2.0 XML rec. XHTML RDF(S)

More information

Introduction to Description Logics

Introduction to Description Logics Introduction to Description Logics Outline History of DLs Informal introduction to DLs A Simple DL: ALC Semantics of ALC Reasoning problems in ALC The DLs ALCN, ALCQ and ALCQO Translating DLs to FOL DLs:

More information

Description Logics as Ontology Languages for Semantic Webs

Description Logics as Ontology Languages for Semantic Webs Description Logics as Ontology Languages for Semantic Webs Franz Baader, Ian Horrocks, and Ulrike Sattler Presented by:- Somya Gupta(10305011) Akshat Malu (10305012) Swapnil Ghuge (10305907) Presentation

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

Ontologies - Querying Data through Ontologies

Ontologies - Querying Data through Ontologies Ontologies - Querying Data through Ontologies Serge Abiteboul Ioana Manolescu Philippe Rigaux Marie-Christine Rousset Pierre Senellart Web Data Management and Distribution http://webdam.inria.fr/textbook

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

H1 Spring B. Programmers need to learn the SOAP schema so as to offer and use Web services.

H1 Spring B. Programmers need to learn the SOAP schema so as to offer and use Web services. 1. (24 points) Identify all of the following statements that are true about the basics of services. A. If you know that two parties implement SOAP, then you can safely conclude they will interoperate at

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

Week 4. COMP62342 Sean Bechhofer, Uli Sattler

Week 4. COMP62342 Sean Bechhofer, Uli Sattler Week 4 COMP62342 Sean Bechhofer, Uli Sattler sean.bechhofer@manchester.ac.uk, uli.sattler@manchester.ac.uk Today Some clarifications from last week s coursework More on reasoning: extension of the tableau

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

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

Helmi Ben Hmida Hannover University, Germany

Helmi Ben Hmida Hannover University, Germany Helmi Ben Hmida Hannover University, Germany 1 Summarizing the Problem: Computers don t understand Meaning My mouse is broken. I need a new one 2 The Semantic Web Vision the idea of having data on the

More information

ARISTOTLE UNIVERSITY OF THESSALONIKI. Department of Computer Science. Technical Report

ARISTOTLE UNIVERSITY OF THESSALONIKI. Department of Computer Science. Technical Report ARISTOTLE UNIVERSITY OF THESSALONIKI Department of Computer Science Technical Report Populating Object-Oriented Rule Engines with the Extensional Knowledge of OWL DL Reasoners Georgios Meditskos and Nick

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 The Next Generation. Ian Horrocks Information Systems Group Oxford University Computing Laboratory

OWL 2 The Next Generation. Ian Horrocks Information Systems Group Oxford University Computing Laboratory OWL 2 The Next Generation Ian Horrocks Information Systems Group Oxford University Computing Laboratory What is an Ontology? What is an Ontology? A model of (some aspect

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

RELATIONAL REPRESENTATION OF ALN KNOWLEDGE BASES

RELATIONAL REPRESENTATION OF ALN KNOWLEDGE BASES RELATIONAL REPRESENTATION OF ALN KNOWLEDGE BASES Thomas Studer ABSTRACT The retrieval problem for a knowledge base O and a concept C is to find all individuals a such that O entails C(a). We describe a

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

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

Introduction to Protégé. Federico Chesani, 18 Febbraio 2010

Introduction to Protégé. Federico Chesani, 18 Febbraio 2010 Introduction to Protégé Federico Chesani, 18 Febbraio 2010 Ontologies An ontology is a formal, explicit description of a domain of interest Allows to specify: Classes (domain concepts) Semantci relation

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

Linked data basic notions!

Linked data basic notions! Linked data basic notions see http://linkeddatabook.com/editions/1.0/ RDF RDF stands for Resource Description Framework It is a W3C Recommendation ü http://www.w3.org/rdf RDF is a graphical formalism (

More information

OWL 2 Profiles. An Introduction to Lightweight Ontology Languages. Markus Krötzsch University of Oxford. Reasoning Web 2012

OWL 2 Profiles. An Introduction to Lightweight Ontology Languages. Markus Krötzsch University of Oxford. Reasoning Web 2012 University of Oxford Department of Computer Science OWL 2 Profiles An Introduction to Lightweight Ontology Languages Markus Krötzsch University of Oxford Reasoning Web 2012 Remark for the Online Version

More information

Introduction to Ontology. Sudarsun S Director Research Checktronix India Chennai

Introduction to Ontology. Sudarsun S Director Research Checktronix India Chennai Introduction to Ontology Sudarsun S Director Research Checktronix India Chennai 600010 What is Ontology? A philosophical discipline a branch of philosophy that deals with the nature and the organisation

More information

Publishing OWL ontologies with Presto

Publishing OWL ontologies with Presto Publishing OWL ontologies with Presto Alexander De Leon 1 and 1,2 1 School of Computer Science 2 Department of Biology Carleton University, 1125 Colonel By Drive, Ottawa, Ontario, K1S5B6 Canada Presented

More information

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 Web Test

Semantic Web Test Semantic Web Test 24.01.2017 Group 1 No. A B C D 1 X X X 2 X X 3 X X 4 X X 5 X X 6 X X X X 7 X X 8 X X 9 X X X 10 X X X 11 X 12 X X X 13 X X 14 X X 15 X X 16 X X 17 X 18 X X 19 X 20 X X 1. Which statements

More information

! Assessed assignment 1 Due 17 Feb. 3 questions Level 10 students answer Q1 and one other

! Assessed assignment 1 Due 17 Feb. 3 questions Level 10 students answer Q1 and one other ! Assessed assignment 1 Due 17 Feb. 3 questions Level 10 students answer Q1 and one other! Q1 Understand an OWL ontology Install Protégé and download the clothing.owl ontology from the KMM website Answer

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

Semantic Web. MPRI : Web Data Management. Antoine Amarilli Friday, January 11th 1/29

Semantic Web. MPRI : Web Data Management. Antoine Amarilli Friday, January 11th 1/29 Semantic Web MPRI 2.26.2: Web Data Management Antoine Amarilli Friday, January 11th 1/29 Motivation Information on the Web is not structured 2/29 Motivation Information on the Web is not structured This

More information

Knowledge Representation for the Semantic Web Lecture 4: Description Logics III

Knowledge Representation for the Semantic Web Lecture 4: Description Logics III Knowledge Representation for the Semantic Web Lecture 4: Description Logics III Daria Stepanova slides based on Reasoning Web 2011 tutorial Foundations of by S. Rudolph Max Planck Institute for Informatics

More information

Semantic reasoning for dynamic knowledge bases. Lionel Médini M2IA Knowledge Dynamics 2018

Semantic reasoning for dynamic knowledge bases. Lionel Médini M2IA Knowledge Dynamics 2018 Semantic reasoning for dynamic knowledge bases Lionel Médini M2IA Knowledge Dynamics 2018 1 Outline Summary Logics Semantic Web Languages Reasoning Web-based reasoning techniques Reasoning using SemWeb

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

OWL DL / Full Compatability

OWL DL / Full Compatability Peter F. Patel-Schneider, Bell Labs Research Copyright 2007 Bell Labs Model-Theoretic Semantics OWL DL and OWL Full Model Theories Differences Betwen the Two Semantics Forward to OWL 1.1 Model-Theoretic

More information

Nonstandard Inferences in Description Logics

Nonstandard Inferences in Description Logics Nonstandard Inferences in Description Logics Franz Baader Theoretical Computer Science Germany Short introduction to Description Logics Application in chemical process engineering Non-standard inferences

More information

Logics for Data and Knowledge Representation: midterm Exam 2013

Logics for Data and Knowledge Representation: midterm Exam 2013 1. [6 PT] Say (mark with an X) whether the following statements are true (T) or false (F). a) In a lightweight ontology there are is-a and part-of relations T F b) Semantic matching is a technique to compute

More information

Modularity in Ontologies: Introduction (Part A)

Modularity in Ontologies: Introduction (Part A) Modularity in Ontologies: Introduction (Part A) Thomas Schneider 1 Dirk Walther 2 1 Department of Computer Science, University of Bremen, Germany 2 Faculty of Informatics, Technical University of Madrid,

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

The Semantic Web. Mansooreh Jalalyazdi

The Semantic Web. Mansooreh Jalalyazdi 1 هو العليم 2 The Semantic Web Mansooreh Jalalyazdi 3 Content Syntactic web XML Add semantics Representation Language RDF, RDFS OWL Query languages 4 History of the Semantic Web Tim Berners-Lee vision

More information

Semantic Technology Tutorial. Part 2: Logical Foundations

Semantic Technology Tutorial. Part 2: Logical Foundations Semantic Technology Tutorial Part 2: Logical Foundations What Is OWL? A Description Logic (DL) with a web-friendly syntax What Are Description Logics? What Are Description Logics? Decidable fragments of

More information

The OWL API: An Introduction

The OWL API: An Introduction The OWL API: An Introduction Sean Bechhofer and Nicolas Matentzoglu University of Manchester sean.bechhofer@manchester.ac.uk OWL OWL allows us to describe a domain in terms of: Individuals Particular objects

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

Representing Product Designs Using a Description Graph Extension to OWL 2

Representing Product Designs Using a Description Graph Extension to OWL 2 Representing Product Designs Using a Description Graph Extension to OWL 2 Henson Graves Lockheed Martin Aeronautics Company Fort Worth Texas, USA henson.graves@lmco.com Abstract. Product development requires

More information

A Heuristic Approach to Explain the Inconsistency in OWL Ontologies Hai Wang, Matthew Horridge, Alan Rector, Nick Drummond, Julian Seidenberg

A Heuristic Approach to Explain the Inconsistency in OWL Ontologies Hai Wang, Matthew Horridge, Alan Rector, Nick Drummond, Julian Seidenberg A Heuristic Approach to Explain the Inconsistency in OWL Ontologies Hai Wang, Matthew Horridge, Alan Rector, Nick Drummond, Julian Seidenberg 1 Introduction OWL IS COMING!! Debugging OWL is very difficult

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

Mandatory exercises. INF3580/4580 Semantic Technologies Spring 2017 Lecture 12: OWL: Loose Ends. Outline. Make it simple!

Mandatory exercises. INF3580/4580 Semantic Technologies Spring 2017 Lecture 12: OWL: Loose Ends. Outline. Make it simple! Mandatory exercises INF3580/4580 Semantic Technologies Spring 2017 Lecture 12: OWL: Loose Ends Ernesto Jiménez-Ruiz 3rd April 2017 Oblig 6 published after lecture. First attempt by April 25th. Second attempt

More information

Presented By Aditya R Joshi Neha Purohit

Presented By Aditya R Joshi Neha Purohit Presented By Aditya R Joshi Neha Purohit Pellet What is Pellet? Pellet is an OWL- DL reasoner Supports nearly all of OWL 1 and OWL 2 Sound and complete reasoner Written in Java and available from http://

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

LTCS Report. Concept Descriptions with Set Constraints and Cardinality Constraints. Franz Baader. LTCS-Report 17-02

LTCS Report. Concept Descriptions with Set Constraints and Cardinality Constraints. Franz Baader. LTCS-Report 17-02 Technische Universität Dresden Institute for Theoretical Computer Science Chair for Automata Theory LTCS Report Concept Descriptions with Set Constraints and Cardinality Constraints Franz Baader LTCS-Report

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

Survey of Temporal Knowledge Representation. (Second Exam)

Survey of Temporal Knowledge Representation. (Second Exam) Survey of Temporal Knowledge Representation (Second Exam) Sami Al-Dhaheri The Graduate Center, CUNY Department of Computer Science June 20, 2016 Abstract Knowledge Representation (KR) is a subfield within

More information

Web Ontology Language (OWL)

Web Ontology Language (OWL) (OWL) Athens 2012 Mikel Egaña Aranguren 3205 Facultad de Informática Universidad Politécnica de Madrid (UPM) Campus de Montegancedo 28660 Boadilla del Monte Spain http://www.oeg-upm.net megana@fi.upm.es

More information

Description Logics Reasoning Algorithms Concluding Remarks References. DL Reasoning. Stasinos Konstantopoulos. IIT, NCSR Demokritos

Description Logics Reasoning Algorithms Concluding Remarks References. DL Reasoning. Stasinos Konstantopoulos. IIT, NCSR Demokritos Stasinos Konstantopoulos 10-3-2006 Overview Description Logics Definitions Some Family Members Reasoning Algorithms Introduction Resolution Calculus Tableau Calculus Concluding Remarks Definitions The

More information

Explaining Subsumption in ALEHF R + TBoxes

Explaining Subsumption in ALEHF R + TBoxes Explaining Subsumption in ALEHF R + TBoxes Thorsten Liebig and Michael Halfmann University of Ulm, D-89069 Ulm, Germany liebig@informatik.uni-ulm.de michael.halfmann@informatik.uni-ulm.de Abstract This

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

Semantics. Matthew J. Graham CACR. Methods of Computational Science Caltech, 2011 May 10. matthew graham

Semantics. Matthew J. Graham CACR. Methods of Computational Science Caltech, 2011 May 10. matthew graham Semantics Matthew J. Graham CACR Methods of Computational Science Caltech, 2011 May 10 semantic web The future of the Internet (Web 3.0) Decentralized platform for distributed knowledge A web of databases

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

1. Introduction to SWRL

1. Introduction to SWRL Introduction to Semantic Web Rule Language - SWRL Bernard ESPINASSE Aix-Marseille Université (AMU Polytech-Marseille Nov. 2017 From OWL to SWRL SWRL rules Examples of use of SWRL rules References Books,

More information

CHAPTER 4 Semantic Web Technologies

CHAPTER 4 Semantic Web Technologies CHAPTER 4 Semantic Web Technologies Introduction Web Services Semantic Web Semantic Web Service (SWS) Model for manangement of elearning Resources N3Logic Reasoning Tools Conclusion Chapter 4: Semantic

More information

Description Logic based Quantifier Restriction and Query of an OWL Ontology

Description Logic based Quantifier Restriction and Query of an OWL Ontology Description Logic based Quantifier Restriction and Query of an OWL Ontology Rajiv Pandey Asst. Professor Amity University Uttar Pradesh, Lucknow-226010 Sanjay Dwivedi Associate Professor Dr. BBA University

More information

Description Logic: Axioms and Rules

Description Logic: Axioms and Rules Description Logic: Axioms and Rules Ian Horrocks horrocks@cs.man.ac.uk University of Manchester Manchester, UK Dagstuhl Rule Markup Techniques, 7th Feb 2002 p.1/51 Talk Outline Motivation: The Semantic

More information

COMP718: Ontologies and Knowledge Bases

COMP718: Ontologies and Knowledge Bases 1/38 COMP718: Ontologies and Knowledge Bases Lecture 4: OWL 2 and Reasoning Maria Keet email: keet@ukzn.ac.za home: http://www.meteck.org School of Mathematics, Statistics, and Computer Science University

More information

Efficient Querying of Web Services Using Ontologies

Efficient Querying of Web Services Using Ontologies Journal of Algorithms & Computational Technology Vol. 4 No. 4 575 Efficient Querying of Web Services Using Ontologies K. Saravanan, S. Kripeshwari and Arunkumar Thangavelu School of Computing Sciences,

More information

Get my pizza right: Repairing missing is-a relations in ALC ontologies

Get my pizza right: Repairing missing is-a relations in ALC ontologies Get my pizza right: Repairing missing is-a relations in ALC ontologies Patrick Lambrix, Zlatan Dragisic and Valentina Ivanova Linköping University Sweden 1 Introduction Developing ontologies is not an

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

TRIPLE An RDF Query, Inference, and Transformation Language

TRIPLE An RDF Query, Inference, and Transformation Language TRIPLE An RDF Query, Inference, and Transformation Language Michael Sintek sintek@dfki.de DFKI GmbH Stefan Decker stefan@db.stanford.edu Stanford University Database Group DDLP'2001 Tokyo, Japan, October

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