Interacting with Linked Data Part I: General Introduction

Size: px
Start display at page:

Download "Interacting with Linked Data Part I: General Introduction"

Transcription

1 Interacting with Linked Data Part I: General Introduction

2 Agenda Part 0: Welcome Part I: General Introduction to Semantic Technologies Part II: Advanced Concepts Part III: OWLIM Part IV: Information Workbench- Part V: Hands-on

3 MOTIVATION SCENARIO 3

4 Music! Provision of a music-based portal. Bring together a number of disparate components of dataoriented content: 1. Musical content (streaming data & downloads) 2. Music and artist metadata 3. Review content 4. Visual content (pictures of artists & albums) 4

5 Data acquisition LD Dataset Access Application Music! Analysis & Mining Module RDFa Visualization Module SPARQL Endpoint Vocabulary Mapping Interlinking Cleansing Integrated Dataset Publishing Physical Wrapper LD Wrapper R2RML Transf. LD Wrapper Streaming providers Musical Content Downloads Metadata RDF/ XML Other content 5

6 Demo Information Workbench: User name: admin Password: iwb Page with sample queries: OWLIM SPARQL Endpoint: User: exercise2 Password: exercise2 6

7 LINKED DATA FOUNDATIONS 7

8 Internet The growth of the Internet Source: 8

9 The Web Billions of diverse documents online, but it is not easily possible to automatically: Retrieve relevant documents. Extract information. Combine information in a meaningful way. Idea: Also publish machine processable data on the web. Formulate questions in terms understandable for a machine. Do this in a standardized way so machines can interoperate. The Web becomes a Web of Data This provides a common framework to share knowledge on the Web across application boundaries. 9

10 The Web: Evolution Web of Documents Web of Data Hyperlinks Typed Links "Documents" "Things" 10

11 Web Technology Basics Uniform Resource Identifier (URI) Compact sequence of characters that identifies an abstract or physical resource. Examples: ldap://[2001:db8::7]/c=gb?objectclass?one news:comp.infosystems. tel: telnet:// :80/ urn:oasis:names:specification:docbook:dtd:xml:

12 Describing Data Vocabularies Collections of defined relationships and classes of resources. Classes group together similar resources. Terms from well-known vocabularies should be reused wherever possible. New terms should be define only if you can not find required terms in existing vocabularies. 12

13 Describing Data Vocabularies A set of well-known vocabularies has evolved in the Semantic Web community. Some of them are: Vocabulary Description Classes and Relationships Friend-of-a-Friend (FOAF) Dublin Core (DC) Semantically-Interlinked Online Communities (SIOC) Music Ontology (MO) Simple Knowledge Organization System (SKOS) Vocabulary for describing people. Defines general metadata attributes. Vocabulary for representing online communities. Provides terms for describing artists, albums and tracks. Vocabulary for representing taxonomies and loosely structured knowledge. foaf:person, foaf:agent, foaf:name, foaf:knows, foaf:member dc:fileformat, dc:mediatype, dc:creator, dc:description sioc:community, sioc:forum, sioc:post, sioc:follows, sioc:topic mo:musicartist, mo:musicgroup, mo:signal, mo:member, mo:record skos:concept, skos:inscheme, skos:definition, skos:example 13

14 Semantics on the Web Semantic Web Stack Berners-Lee (2006) 14

15 Semantics on the Web RDF Resource Description Framework RDF is the basis layer of the Semantic Web stack layer cake. Basic building block: RDF triple. Subject a resource, which may be identified with a URI. Predicate a URI-identified reused specification of the relationship. Object a resource or literal to which the subject is related. 15

16 Semantics on the Web RDF Resource Description Framework (Example) < < < < < "The Beatles". Literals are given in quotes in N-Triples. URIs are given in angle brackets in N-Triples. In N-Triples every statement is terminated with a full stop. 16

17 Semantics on the Web RDF Graphs Every set of RDF assertions can then be drawn and manipulated as a (labelled directed) graph: Resources the subjects and objects are nodes of the graph. Predicates each predicate use becomes a label for an arc, connecting the subject to the object. Subject Predicate Object 17

18 Semantics on the Web RDF Graphs (Example) < < < < "The Beatles" 18

19 Semantics on the Web RDF Turtle Turtle is a syntax for RDF more readable. Since many URIs share same basis we use dbpedia:< And (sometimes) a unique < 21

20 Semantics on the Web RDF Turtle Also has a simple shorthand for class mo:< <artist/b10bbbfc-cf9e-42e0-be17-e2c3e1d2600d#_> a mo:musicgroup. Is equivalent to: < < < 22

21 Semantics on the Web RDF Turtle When multiple statements apply to same subject they can be abbreviated as follows: <artist/b10bbbfc-cf9e-42e0-be17-e2c3e1d2600d#_> rdfs:label "The Beatles"; owl:sameas dbpedia:the_beatles, < Same subject Same subject & predicate b10bbbfc-cf9e-42e0-be17-e2c3e1d2600d#artist>. 23

22 Semantics on the Web RDF Turtle Turtle also provides a simple syntax for datatypes and language tags for literals, respectively: <recording/5098d0a8-d3c3-424e f #_> a mo:signal; rdfs:label "All You Need Is Love" ; mo:duration "PT3M48S"^^xsd:duration. dbpedia:the_beatles dbpedia-owl:abstract "The Beatles were an English rock band formed ( ) "@en, "The Beatles waren eine britische Rockband in den ( ) "@de. 24

23 LINKED DATA 26

24 Linked Data Cloud

25 Linked Data Cloud

26 Linked Data Cloud

27 Linked Data Cloud

28 Linked Data Cloud

29 State of the LOD Cloud 1 Total Datasets: 295 Total Triples: 31,634,213,770 Distribution of triples by domain 1 Version 0.3, 09/19/

30 INTRODUCTION TO SPARQL 33

31 SPARQL * Protocol and RDF Query Language Declarative query language Semantic Web Stack Berners-Lee (2006) 34

32 SPARQL SPARQL Query Declarative query language for RDF data SPARQL Update Declarative manipulation language for RDF data SPARQL Protocol Standard for communication between SPARQL services and clients 35

33 SPARQL Query 1.1 SPARQL 1.0 only allows accessing the data (query) SPARQL 1.1 introduces: Query extensions Aggregates, Subqueries, Negation, Expressions in the SELECT clause, Property paths, assignment, short form for CONSTRUCT, expanded set of functions and operators Updates Data management: Insert, Delete, Delete/Insert Graph management: Create, Load, Clear, Drop, Copy, Move, Add Federation extension Service, values, service variables (informative) CH 5 36

34 SPARQL Basics RDF triple: Basic building block, of the form subject, predicate, object. Example: dbpedia:the_beatles foaf:name "The Beatles". RDF triple pattern: Contains one or more variables. Examples: dbpedia:the_beatles foaf:made?album.?album mo:track?track.?album?p?o. RDF quad pattern: Contains graph name: URI or variable. Examples: GRAPH <:g> {:s :p :o.} GRAPH?g {dbpedia:the_beatles foaf:name?o.} 37

35 QUERYING LINKED DATA WITH SPARQL 38

36 SPARQL Query Main idea: Pattern matching Queries describe sub-graphs of the queried graph Graph patterns are RDF graphs specified in Turtle syntax, which contain variables (prefixed by? ) dbpedia: The_Beatles foaf:made?album Sub-graphs that match the graph patterns yield a result 39

37 SPARQL Query Data: dc:title < musicbrainz.org /record/...> foaf:made dbpedia: The_Beatles foaf:made < musicbrainz.org /record/...> dc:title foaf:made < musicbrainz.org /record/...> dc:title "Help!" "Abbey Road" "Let It Be" Graph pattern: dbpedia: The_Beatles foaf:made?album Results:?album < < < 40

38 SPARQL Query Data: dc:title < musicbrainz.org /record/...> foaf:made dbpedia: The_Beatles foaf:made < musicbrainz.org /record/...> dc:title foaf:made < musicbrainz.org /record/...> dc:title "Help!" "Abbey Road" "Let It Be" Graph pattern:?album Results:?album?title dbpedia: The_Beatles?title dc:title < < < "Help!" "Abbey Road" "Let It Be" 41

39 SPARQL Query Data: foaf:made dbpedia: The_Beatles foaf:made < musicbrainz.org /record/...> mo:track < musicbrainz.org /track/...> dc:title dc:title "Help!" mo:record mo:track "Help!" Graph pattern:?album Results:?album dbpedia: The_Beatles a < mo:record 42

40 SPARQL Query: Components PREFIX dbpedia: < PREFIX foaf: < PREFIX dc: < PREFIX mo: < SELECT?album FROM < WHERE { dbpedia:the_beatles foaf:made?album.?album a mo:record ; dc:title?title } ORDER BY?title Prologue: Prefix definitions Subtly different from Turtle syntax - the final period is not used 43

41 SPARQL Query: Components PREFIX dbpedia: < PREFIX foaf: < PREFIX dc: < PREFIX mo: < SELECT?album FROM < WHERE { dbpedia:the_beatles foaf:made?album.?album a mo:record ; dc:title?title } ORDER BY?title Query form: ASK, SELECT, DESCRIBE or CONSTRUCT SELECT retrieves variables and their bindings as a table 44

42 SPARQL Query: Components PREFIX dbpedia: < PREFIX foaf: < PREFIX dc: < PREFIX mo: < SELECT?album FROM < WHERE { dbpedia:the_beatles foaf:made?album.?album a mo:record ; dc:title?title } ORDER BY?title Data set specification: This clause is optional FROM or FROM NAMED Indicates the sources for the data against which to find matches 45

43 SPARQL Query: Components PREFIX dbpedia: < PREFIX foaf: < PREFIX dc: < PREFIX mo: < SELECT?album FROM < WHERE { dbpedia:the_beatles foaf:made?album.?album a mo:record ; dc:title?title } ORDER BY?title Query pattern: Defines patterns to match against the data Generalises Turtle with variables and keywords N.B. final period optional 46

44 SPARQL Query: Components PREFIX dbpedia: < PREFIX foaf: < PREFIX dc: < PREFIX mo: < SELECT?album FROM < WHERE { dbpedia:the_beatles foaf:made?album.?album a mo:record ; dc:title?title } ORDER BY?title Solution modifier: Modify the result set ORDER BY, LIMIT or OFFSET re-organise rows; GROUP BY combines them 47

45 Query Forms SPARQL supports different query forms: ASK tests whether or not a query pattern has a solution. Returns yes/no SELECT returns variables and their bindings directly CONSTRUCT returns a single RDF graph specified by a graph template DESCRIBE returns a single RDF graph containing RDF data about resource 48

46 Summary You have seen so far RDF Turtle syntax Linked Data Introduction to SPARQL

47 Euclid ebook Course Other euclidproject euclidproject EUCLID - Providing Linked Data 50

48 THANK YOU! Contact us fluid Operations AG Altrottstr Walldorf Germany Tel: +49 (0) Fax: +49 (0)

Usage of Linked Data Introduction and Application Scenarios. Presented by: Barry Norton

Usage of Linked Data Introduction and Application Scenarios. Presented by: Barry Norton Usage of Linked Data Introduction and Application Scenarios Presented by: Barry Norton Agenda 1. Motivation Scenario 2. Linked Data Foundations 3. Introduction to Linked Data 4. Linked Data use case scenarios

More information

From the Web to the Semantic Web: RDF and RDF Schema

From the Web to the Semantic Web: RDF and RDF Schema From the Web to the Semantic Web: RDF and RDF Schema Languages for web Master s Degree Course in Computer Engineering - (A.Y. 2016/2017) The Semantic Web [Berners-Lee et al., Scientific American, 2001]

More information

Building Blocks of Linked Data

Building Blocks of Linked Data Building Blocks of Linked Data Technological foundations Identifiers: URIs Data Model: RDF Terminology and Semantics: RDFS, OWL 23,019,148 People s Republic of China 20,693,000 population located in capital

More information

Day 2. RISIS Linked Data Course

Day 2. RISIS Linked Data Course Day 2 RISIS Linked Data Course Overview of the Course: Friday 9:00-9:15 Coffee 9:15-9:45 Introduction & Reflection 10:30-11:30 SPARQL Query Language 11:30-11:45 Coffee 11:45-12:30 SPARQL Hands-on 12:30-13:30

More information

Representing musicology knowledge on the Web using Linked Data

Representing musicology knowledge on the Web using Linked Data Representing musicology knowledge on the Web using Linked Data The Semantic Web and Why You Should Care Digital Humanities at Oxford Summer School Kevin Page Oxford e-research Centre, University of Oxford.

More information

SPARQL. Fausto Giunchiglia and Mattia Fumagallli. University of Trento

SPARQL. Fausto Giunchiglia and Mattia Fumagallli. University of Trento SPARQL Fausto Giunchiglia and Mattia Fumagallli University of Trento Roadmap Introduction Basic query forms SELECT CONSTRUCT ASK DESCRIBE Other clauses and modifiers SPARQL Federated Query Exercises 2

More information

Semantic Web and Python Concepts to Application development

Semantic Web and Python Concepts to Application development PyCon 2009 IISc, Bangalore, India Semantic Web and Python Concepts to Application development Vinay Modi Voice Pitara Technologies Private Limited Outline Web Need better web for the future Knowledge Representation

More information

Unit 1 a Bird s Eye View on RDF(S), OWL & SPARQL

Unit 1 a Bird s Eye View on RDF(S), OWL & SPARQL Unit 1 a Bird s Eye View on RDF(S), OWL & SPARQL Axel Polleres Siemens AG Österreich VU 184.729 Semantic Web Technologies A. Polleres VU 184.729 1/48 Unit Outline 1. Motivation Aggregating Web Data 2.

More information

SPARQL. A Query-language for the Web of Data

SPARQL. A Query-language for the Web of Data SPARQL A Query-language for the Web of Data SPARQL Querying the Web of Data query language for RDF graphs (i.e., linked data) extract specific information out of a dataset (or several datasets) "The SQL

More information

BUILDING THE SEMANTIC WEB

BUILDING THE SEMANTIC WEB BUILDING THE SEMANTIC WEB You might have come across the term Semantic Web Applications often, during talks about the future of Web apps. Check out what this is all about There are two aspects to the possible

More information

RESOURCES DESCRIPTION FRAMEWORK: RDF

RESOURCES DESCRIPTION FRAMEWORK: RDF 1 RESOURCES DESCRIPTION FRAMEWORK: RDF Hala Skaf-Molli Associate Professor Nantes University Hala.Skaf@univ-nantes.fr http://pagesperso.lina.univ-nantes.fr/~skaf-h Linked Data Stack (Semantic Web Cake)

More information

Accessing information about Linked Data vocabularies with vocab.cc

Accessing information about Linked Data vocabularies with vocab.cc Accessing information about Linked Data vocabularies with vocab.cc Steffen Stadtmüller 1, Andreas Harth 1, and Marko Grobelnik 2 1 Institute AIFB, Karlsruhe Institute of Technology (KIT), Germany {steffen.stadtmueller,andreas.harth}@kit.edu

More information

ITARC Stockholm Olle Olsson World Wide Web Consortium (W3C) Swedish Institute of Computer Science (SICS)

ITARC Stockholm Olle Olsson World Wide Web Consortium (W3C) Swedish Institute of Computer Science (SICS) 2 ITARC 2010 Stockholm 100420 Olle Olsson World Wide Web Consortium (W3C) Swedish Institute of Computer Science (SICS) 3 Contents Trends in information / data Critical factors... growing importance Needs

More information

ITARC Stockholm Olle Olsson World Wide Web Consortium (W3C) Swedish Institute of Computer Science (SICS)

ITARC Stockholm Olle Olsson World Wide Web Consortium (W3C) Swedish Institute of Computer Science (SICS) 2 ITARC 2010 Stockholm 100420 Olle Olsson World Wide Web Consortium (W3C) Swedish Institute of Computer Science (SICS) 3 Contents Trends in information / data Critical factors... growing importance Needs

More information

Linking Distributed Data across the Web

Linking Distributed Data across the Web Linking Distributed Data across the Web Dr Tom Heath Researcher, Platform Division Talis Information Ltd tom.heath@talis.com http://tomheath.com/ Overview Background From a Web of Documents to a Web of

More information

Semantic Web Fundamentals

Semantic Web Fundamentals Semantic Web Fundamentals Web Technologies (706.704) 3SSt VU WS 2017/18 Vedran Sabol with acknowledgements to P. Höfler, V. Pammer, W. Kienreich ISDS, TU Graz December 11 th 2017 Overview What is Semantic

More information

Querying Semantic Web Data

Querying Semantic Web Data Querying Semantic Web Data Lalana Kagal Decentralized Information Group MIT CSAIL Eric Prud'hommeaux Sanitation Engineer World Wide Web Consortium SPARQL Program Graph patterns Motivations for RDF RDF

More information

SPAR-QL. Mario Arrigoni Neri

SPAR-QL. Mario Arrigoni Neri SPAR-QL Mario Arrigoni Neri 1 Introduction 2 SPARQL = SPARQL Protocol and RDF Query Language SPARQL - query language to manipulate information in RDF graphs. It provides support to: extract information

More information

Linked Data: What Now? Maine Library Association 2017

Linked Data: What Now? Maine Library Association 2017 Linked Data: What Now? Maine Library Association 2017 Linked Data What is Linked Data Linked Data refers to a set of best practices for publishing and connecting structured data on the Web. URIs - Uniform

More information

Semantic Web Fundamentals

Semantic Web Fundamentals Semantic Web Fundamentals Web Technologies (706.704) 3SSt VU WS 2018/19 with acknowledgements to P. Höfler, V. Pammer, W. Kienreich ISDS, TU Graz January 7 th 2019 Overview What is Semantic Web? Technology

More information

a paradigm for the Semantic Web Linked Data Angelica Lo Duca IIT-CNR Linked Open Data:

a paradigm for the Semantic Web Linked Data Angelica Lo Duca IIT-CNR Linked Open Data: Linked Data Angelica Lo Duca IIT-CNR angelica.loduca@iit.cnr.it Linked Open Data: a paradigm for the Semantic Web Linked Data are a series of best practices to connect structured data through the Web.

More information

Reminder: RDF triples

Reminder: RDF triples Reminder: RDF triples The RDF data model is similar to classical conceptual modelling approaches such as entity relationship or class diagrams it is based on the idea of making statements about resources

More information

SEMANTIC WEB 07 SPARQL TUTORIAL BY EXAMPLE: DBPEDIA IMRAN IHSAN ASSISTANT PROFESSOR, AIR UNIVERSITY, ISLAMABAD

SEMANTIC WEB 07 SPARQL TUTORIAL BY EXAMPLE: DBPEDIA IMRAN IHSAN ASSISTANT PROFESSOR, AIR UNIVERSITY, ISLAMABAD SEMANTIC WEB 07 SPARQL TUTORIAL BY EXAMPLE: DBPEDIA IMRAN IHSAN ASSISTANT PROFESSOR, AIR UNIVERSITY, ISLAMABAD WWW.IMRANIHSAN.COM VIRTUOSO SERVER DOWNLOAD Open Link Virtuoso Server http://virtuoso.openlinksw.com/dataspace/doc/dav/wiki/main/vosdownload

More information

Semantic Days 2011 Tutorial Semantic Web Technologies

Semantic Days 2011 Tutorial Semantic Web Technologies Semantic Days 2011 Tutorial Semantic Web Technologies Lecture 2: RDF, The Resource Description Framework Martin Giese 7th June 2011 Department of Informatics University of Oslo Outline 1 The RDF data model

More information

Porting Social Media Contributions with SIOC

Porting Social Media Contributions with SIOC Porting Social Media Contributions with SIOC Uldis Bojars, John G. Breslin, and Stefan Decker DERI, National University of Ireland, Galway, Ireland firstname.lastname@deri.org Abstract. Social media sites,

More information

Semantic Web Technologies: Assignment 1. Axel Polleres Siemens AG Österreich

Semantic Web Technologies: Assignment 1. Axel Polleres Siemens AG Österreich Semantic Web Technologies: Assignment 1 Siemens AG Österreich 1 The assignment: 2 FOAF: 1. Create your own FOAF file. You can use a generator tool such as FOAF- a- Ma>c to generate a skeleton. 2. Make

More information

SPARQL. Dr Nicholas Gibbins

SPARQL. Dr Nicholas Gibbins SPARQL Dr Nicholas Gibbins nmg@ecs.soton.ac.uk Semantic Web Applications Technologies considered so far allow us to create representation schemes (RDFS, OWL) and to represent data (RDF) We can put data

More information

MI-PDB, MIE-PDB: Advanced Database Systems

MI-PDB, MIE-PDB: Advanced Database Systems MI-PDB, MIE-PDB: Advanced Database Systems http://www.ksi.mff.cuni.cz/~svoboda/courses/2015-2-mie-pdb/ Lecture 11: RDF, SPARQL 3. 5. 2016 Lecturer: Martin Svoboda svoboda@ksi.mff.cuni.cz Author: Martin

More information

Multi-agent Semantic Web Systems: RDF Models

Multi-agent Semantic Web Systems: RDF Models ... Multi-agent Semantic Web Systems: RDF Models Ewan Klein School of Informatics January 30, 2012 Ewan Klein (School of Informatics) Multi-agent Semantic Web Systems: RDF Models January 30, 2012 1 / 33

More information

Produce and Consume Linked Data with Drupal!

Produce and Consume Linked Data with Drupal! Produce and Consume Linked Data with Drupal! Stéphane Corlosquet, Renaud Delbru, Tim Clark, Axel Polleres and Stefan Decker ISWC 2009 scorlosquet@gmail.com DERI NUI Galway, MGH October 27th, 2009 Copyright

More information

DC-Text - a simple text-based format for DC metadata

DC-Text - a simple text-based format for DC metadata DC-Text - a simple text-based format for DC metadata Pete Johnston Eduserv Foundation Tel: +44 1225 474323 pete.johnston@eduserv.org.uk Andy Powell Eduserv Foundation Tel: +44 1225 474319 andy.powell@eduserv.org.uk

More information

Introduction to Semantic Web Databases. Version 1 Prepared By: Amgad Madkour Ph.D. Candidate Purdue University April 2018

Introduction to Semantic Web Databases. Version 1 Prepared By: Amgad Madkour Ph.D. Candidate Purdue University April 2018 Introduction to Semantic Web Databases Version 1 Prepared By: Amgad Madkour Ph.D. Candidate Purdue University April 2018 Semantic Web Motivation Represents the next generation of the the world wide web

More information

Semantic Web Information Management

Semantic Web Information Management Semantic Web Information Management Norberto Fernández ndez Telematics Engineering Department berto@ it.uc3m.es.es 1 Motivation n Module 1: An ontology models a domain of knowledge n Module 2: using the

More information

Semantic Web Architecture

Semantic Web Architecture Semantic Web Architecture Andreas Harth, harth@kit.edu, Karlsruhe Institute of Technology Maciej Janik, janik@uni-koblenz.de, University of Koblenz-Landau Steffen Staab, staab@uni-koblenz.de, University

More information

INFO216: Advanced Modelling

INFO216: Advanced Modelling INFO216: Advanced Modelling Theme, spring 2018: Modelling and Programming the Web of Data Andreas L. Opdahl Session 3: SPARQL Themes: introducing SPARQL Update SPARQL 1.1 Update

More information

3. Queries Applied Artificial Intelligence Prof. Dr. Bernhard Humm Faculty of Computer Science Hochschule Darmstadt University of Applied Sciences

3. Queries Applied Artificial Intelligence Prof. Dr. Bernhard Humm Faculty of Computer Science Hochschule Darmstadt University of Applied Sciences 3. Queries Applied Artificial Intelligence Prof. Dr. Bernhard Humm Faculty of Computer Science Hochschule Darmstadt University of Applied Sciences 1 Retrospective Knowledge Representation (1/2) What is

More information

Querying RDF & RDFS. Several query languages exist to retrieve

Querying RDF & RDFS. Several query languages exist to retrieve Knowledge management: Querying with SPARQL 1 Querying RDF & RDFS Several query languages exist to retrieve resulting triples from RDF RDQL SERQL SPARQL These languages use triple patterns as input and

More information

Serving Ireland s Geospatial as Linked Data on the Web

Serving Ireland s Geospatial as Linked Data on the Web Serving Ireland s Geospatial as Linked Data on the Web Dr. Atul Nautiyal ADAPT @ Trinity College Dublin The ADAPT Centre is funded under the SFI Research Centres Programme (Grant 13/RC/2106) and is co-funded

More information

RDF AND SPARQL. Part IV: Syntax of SPARQL. Dresden, August Sebastian Rudolph ICCL Summer School

RDF AND SPARQL. Part IV: Syntax of SPARQL. Dresden, August Sebastian Rudolph ICCL Summer School RDF AND SPARQL Part IV: Syntax of SPARQL Sebastian Rudolph ICCL Summer School Dresden, August 2013 Agenda 1 Introduction and Motivation 2 Simple SPARQL Queries 3 Complex Graph Pattern 4 Filters 5 Solution

More information

Today s Plan. INF3580/4580 Semantic Technologies Spring Reminder: RDF triples. Outline. Lecture 4: The SPARQL Query Language.

Today s Plan. INF3580/4580 Semantic Technologies Spring Reminder: RDF triples. Outline. Lecture 4: The SPARQL Query Language. Today s Plan INF3580/4580 Semantic Technologies Spring 2015 Lecture 4: The SPARQL Query Language Kjetil Kjernsmo 9th February 2015 4 Department of Informatics University of Oslo INF3580/4580 :: Spring

More information

SPARQL Protocol And RDF Query Language

SPARQL Protocol And RDF Query Language SPARQL Protocol And RDF Query Language WS 2011/12: XML Technologies John Julian Carstens Department of Computer Science Communication Systems Group Christian-Albrechts-Universität zu Kiel March 1, 2012

More information

Semantic Web Systems Querying Jacques Fleuriot School of Informatics

Semantic Web Systems Querying Jacques Fleuriot School of Informatics Semantic Web Systems Querying Jacques Fleuriot School of Informatics 5 th February 2015 In the previous lecture l Serialising RDF in XML RDF Triples with literal Object edstaff:9888 foaf:name Ewan Klein.

More information

Mapping between Digital Identity Ontologies through SISM

Mapping between Digital Identity Ontologies through SISM Mapping between Digital Identity Ontologies through SISM Matthew Rowe The OAK Group, Department of Computer Science, University of Sheffield, Regent Court, 211 Portobello Street, Sheffield S1 4DP, UK m.rowe@dcs.shef.ac.uk

More information

Organizing Existing Metadata Terms and Structural Constraints to Support Metadata Schema Creation

Organizing Existing Metadata Terms and Structural Constraints to Support Metadata Schema Creation Organizing Existing Metadata Terms and Structural Constraints to Support Metadata Schema Creation 2015/08/12 @Copenhagen Tsunagu HONMA, Ph.D. student University of Tsukuba, Japan Topics Metadata Schema

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

SEMANTIC WEB AN INTRODUCTION. Luigi De https://elite.polito.it

SEMANTIC WEB AN INTRODUCTION. Luigi De https://elite.polito.it SEMANTIC WEB AN INTRODUCTION Luigi De Russis @luigidr https://elite.polito.it THE WEB IS A WEB OF DOCUMENT FOR PEOPLE, NOT FOR MACHINES 2 THE WEB IS A WEB OF DOCUMENT 3 THE SEMANTIC WEB IS A WEB OF DATA

More information

FedX: Optimization Techniques for Federated Query Processing on Linked Data. ISWC 2011 October 26 th. Presented by: Ziv Dayan

FedX: Optimization Techniques for Federated Query Processing on Linked Data. ISWC 2011 October 26 th. Presented by: Ziv Dayan FedX: Optimization Techniques for Federated Query Processing on Linked Data ISWC 2011 October 26 th Presented by: Ziv Dayan Andreas Schwarte 1, Peter Haase 1, Katja Hose 2, Ralf Schenkel 2, and Michael

More information

Linked data and its role in the semantic web. Dave Reynolds, Epimorphics

Linked data and its role in the semantic web. Dave Reynolds, Epimorphics Linked data and its role in the semantic web Dave Reynolds, Epimorphics Ltd @der42 Roadmap What is linked data? Modelling Strengths and weaknesses Examples Access other topics image: Leo Oosterloo @ flickr.com

More information

Linked Data and RDF. COMP60421 Sean Bechhofer

Linked Data and RDF. COMP60421 Sean Bechhofer Linked Data and RDF COMP60421 Sean Bechhofer sean.bechhofer@manchester.ac.uk Building a Semantic Web Annotation Associating metadata with resources Integration Integrating information sources Inference

More information

COMP6217 Social Networking Technologies Web evolution and the Social Semantic Web. Dr Thanassis Tiropanis

COMP6217 Social Networking Technologies Web evolution and the Social Semantic Web. Dr Thanassis Tiropanis COMP6217 Social Networking Technologies Web evolution and the Social Semantic Web Dr Thanassis Tiropanis t.tiropanis@southampton.ac.uk The narrative Semantic Web Technologies The Web of data and the semantic

More information

infoh509 xml & web technologies lecture 9: sparql Stijn Vansummeren February 14, 2017

infoh509 xml & web technologies lecture 9: sparql Stijn Vansummeren February 14, 2017 infoh509 xml & web technologies lecture 9: sparql Stijn Vansummeren February 14, 2017 what have we gained? Current no structure Future structured by RDF (subject, predicate, object) b:genome b:field b:molecular-bio

More information

Knowledge Representation in Social Context. CS227 Spring 2011

Knowledge Representation in Social Context. CS227 Spring 2011 7. Knowledge Representation in Social Context CS227 Spring 2011 Outline Vision for Social Machines From Web to Semantic Web Two Use Cases Summary The Beginning g of Social Machines Image credit: http://www.lifehack.org

More information

Introducing Linked Data

Introducing Linked Data Introducing Linked Data (Part of this work was funded by PlanetData NoE FP7/2007-2013) Irini Fundulaki 1 1 Institute of Computer Science FORTH & W3C Greece Office Manager EICOS : 4th Meeting, Athens, Greece

More information

COMPUTER AND INFORMATION SCIENCE JENA DB. Group Abhishek Kumar Harshvardhan Singh Abhisek Mohanty Suhas Tumkur Chandrashekhara

COMPUTER AND INFORMATION SCIENCE JENA DB. Group Abhishek Kumar Harshvardhan Singh Abhisek Mohanty Suhas Tumkur Chandrashekhara JENA DB Group - 10 Abhishek Kumar Harshvardhan Singh Abhisek Mohanty Suhas Tumkur Chandrashekhara OUTLINE Introduction Data Model Query Language Implementation Features Applications Introduction Open Source

More information

Global standard formats for opening NLK data. Adding to the Global Information Ecosystem

Global standard formats for opening NLK data. Adding to the Global Information Ecosystem Sam Oh Professor, Sungkyunkwan University, LIS Affiliate Professor, University of Washington ISO/IEC JTC1/SC34 Chair ISO TC46/SC9 Chair DCMI Oversight Committee Member Jinho Park Senior Researcher, National

More information

Proposal for Implementing Linked Open Data on Libraries Catalogue

Proposal for Implementing Linked Open Data on Libraries Catalogue Submitted on: 16.07.2018 Proposal for Implementing Linked Open Data on Libraries Catalogue Esraa Elsayed Abdelaziz Computer Science, Arab Academy for Science and Technology, Alexandria, Egypt. E-mail address:

More information

Semantic Integration with Apache Jena and Apache Stanbol

Semantic Integration with Apache Jena and Apache Stanbol Semantic Integration with Apache Jena and Apache Stanbol All Things Open Raleigh, NC Oct. 22, 2014 Overview Theory (~10 mins) Application Examples (~10 mins) Technical Details (~25 mins) What do we mean

More information

Semantiska webben DFS/Gbg

Semantiska webben DFS/Gbg 1 Semantiska webben 2010 DFS/Gbg 100112 Olle Olsson World Wide Web Consortium (W3C) Swedish Institute of Computer Science (SICS) With thanks to Ivan for many slides 2 Trends and forces: Technology Internet

More information

SPARQL เอกสารหล ก ใน มคอ.3

SPARQL เอกสารหล ก ใน มคอ.3 SPARQL SLIDES REFERENCE: SEMANTIC WEB PRIMER BOOK เอกสารหล ก ใน มคอ.3 Why an RDF Query Language? Different XML Representations XML at a lower level of abstraction than RDF There are various ways of syntactically

More information

Semantic Web Company. PoolParty - Server. PoolParty - Technical White Paper.

Semantic Web Company. PoolParty - Server. PoolParty - Technical White Paper. Semantic Web Company PoolParty - Server PoolParty - Technical White Paper http://www.poolparty.biz Table of Contents Introduction... 3 PoolParty Technical Overview... 3 PoolParty Components Overview...

More information

Library of Congress BIBFRAME Pilot. NOTSL Fall Meeting October 30, 2015

Library of Congress BIBFRAME Pilot. NOTSL Fall Meeting October 30, 2015 Library of Congress BIBFRAME Pilot NOTSL Fall Meeting October 30, 2015 THE BIBFRAME EDITOR AND THE LC PILOT The Semantic Web and Linked Data : a Recap of the Key Concepts Learning Objectives Describe the

More information

Introduction to RDF & SPARQL

Introduction to RDF & SPARQL Training Module 1.3 OPEN DATA SUPPORT Introduction to RDF & SPARQL PwC firms help organisations and individuals create the value they re looking for. We re a network of firms in 158 countries with close

More information

Linked Data Evolving the Web into a Global Data Space

Linked Data Evolving the Web into a Global Data Space Linked Data Evolving the Web into a Global Data Space Anja Jentzsch, Freie Universität Berlin 05 October 2011 EuropeanaTech 2011, Vienna 1 Architecture of the classic Web Single global document space Web

More information

Filter: Evaluable Expression. List Syntax. Tests. Filter: Evaluable Expression. Tests : functions. Tests 06/09/2013. (1?x v )

Filter: Evaluable Expression. List Syntax. Tests. Filter: Evaluable Expression. Tests : functions. Tests 06/09/2013. (1?x v ) SPARQL 2 W3C RDF Data Access SPARQL W3C Simple Protocol And RDF Query Language olivier.corby@inria.fr Use Case and Requirements : http://www.w3.org/tr/rdf-dawg-uc Query language : http://www.w3.org/tr/rdf-sparql-query

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

Outline. Introduction Semantic Web

Outline. Introduction Semantic Web Outline Introduction Semantic Web o Vision o From the Web of Documents to the Web Of Data o Technologies o Advantages Semantic Web and Linguistics RDB2RDF o Concepts o Sparqlify (SML) PanLex2RDF Demo Discussion

More information

MarkLogic Server. Semantics Developer s Guide. MarkLogic 9 May, Copyright 2018 MarkLogic Corporation. All rights reserved.

MarkLogic Server. Semantics Developer s Guide. MarkLogic 9 May, Copyright 2018 MarkLogic Corporation. All rights reserved. Semantics Developer s Guide 1 MarkLogic 9 May, 2017 Last Revised: 9.0-4, January 2018 Copyright 2018 MarkLogic Corporation. All rights reserved. Table of Contents Table of Contents Semantics Developer

More information

SPARQL QUERY LANGUAGE WEB:

SPARQL QUERY LANGUAGE   WEB: SPARQL QUERY LANGUAGE JELENA JOVANOVIC EMAIL: JELJOV@GMAIL.COM WEB: HTTP://JELENAJOVANOVIC.NET SPARQL query language W3C standard for querying RDF graphs Can be used to query not only native RDF data,

More information

Jena.

Jena. Jena http://openjena.org/ The Beginning... From: McBride, Brian Date: Mon, 28 Aug 2000 13:40:03 +0100 To: "RDF Interest (E-mail)" A few weeks ago I posted

More information

Linked Open Data. University of Rome "Tor Vergata" ART: Artificial Intelligence Tor Vergata. "The Semantic Web done right" Tim Berners-Lee

Linked Open Data. University of Rome Tor Vergata ART: Artificial Intelligence Tor Vergata. The Semantic Web done right Tim Berners-Lee University of Rome "Tor Vergata" ART: Artificial Intelligence Research @ Tor Vergata Linked Open Data "The Semantic Web done right" Tim Berners-Lee Date January 28 2013 lastupdate: Mon, 28 Jan 2013 20:00:58

More information

INF3580/4580 Semantic Technologies Spring 2015

INF3580/4580 Semantic Technologies Spring 2015 INF3580/4580 Semantic Technologies Spring 2015 Lecture 15: RDFa Martin Giese 11th May 2015 Department of Informatics University of Oslo Repetition 18 June: Guest lecture, Lars Marius Garshol 25 May: no

More information

The Semantic Web Revisited. Nigel Shadbolt Tim Berners-Lee Wendy Hall

The Semantic Web Revisited. Nigel Shadbolt Tim Berners-Lee Wendy Hall The Semantic Web Revisited Nigel Shadbolt Tim Berners-Lee Wendy Hall Today sweb It is designed for human consumption Information retrieval is mainly supported by keyword-based search engines Some problems

More information

Inception of RDF: Context

Inception of RDF: Context Inception of RDF: Context Fukuoka City Homepage Gnavi page (Fukuoka) Municipal Documents (Fukuoka city) List of nursery in Fukuoka The www is a mine of information This is however mostly unstructured information

More information

Today s Plan. INF3580 Semantic Technologies Spring RDF on the Web. Outline. Lecture 13: Publishing RDF Data on the Web.

Today s Plan. INF3580 Semantic Technologies Spring RDF on the Web. Outline. Lecture 13: Publishing RDF Data on the Web. Today s Plan INF3580 Semantic Technologies Spring 2010 Lecture 13: Publishing RDF Data on the Web Martin Giese 11th May 2010 1 Introduction 2 3 Linking RDF to HTML 4 Department of Informatics University

More information

Linked Data & Semantic Web Technology.

Linked Data & Semantic Web Technology. http://genfringe.com/wp-content/uploads/2014/01/image22.jpg http://cfile24.uf.tistory.com/image/274f0f4151ca334934964e How tall are you? 5.4 ft What? for communication http://cdn-media-2.lifehack.org/wp-content/files/2012/12/improve-communications.jpg

More information

Using Linked Data Concepts to Blend and Analyze Geospatial and Statistical Data Creating a Semantic Data Platform

Using Linked Data Concepts to Blend and Analyze Geospatial and Statistical Data Creating a Semantic Data Platform Using Linked Data Concepts to Blend and Analyze Geospatial and Statistical Data Creating a Semantic Data Platform Hans Viehmann Product Manager EMEA ORACLE Corporation October 17, 2018 @SpatialHannes Safe

More information

Why You Should Care About Linked Data and Open Data Linked Open Data (LOD) in Libraries

Why You Should Care About Linked Data and Open Data Linked Open Data (LOD) in Libraries Why You Should Care About Linked Data and Open Data Linked Open Data (LOD) in Libraries Florida Library Webinars Novare Library Services May 30, 2014 Jason Clark Head of Library Informatics & Computing

More information

Finding Similarity and Comparability from Merged Hetero Data of the Semantic Web by Using Graph Pattern Matching

Finding Similarity and Comparability from Merged Hetero Data of the Semantic Web by Using Graph Pattern Matching Finding Similarity and Comparability from Merged Hetero Data of the Semantic Web by Using Graph Pattern Matching Hiroyuki Sato, Kyoji Iiduka, Takeya Mukaigaito, and Takahiko Murayama Information Sharing

More information

Multi-agent Semantic Web Systems: Data & Metadata

Multi-agent Semantic Web Systems: Data & Metadata Multi-agent Semantic Web Systems: Data & Metadata Ewan Klein School of Informatics MASWS January 26, 2012 Ewan Klein (School of Informatics) Multi-agent Semantic Web Systems: Data & Metadata MASWS January

More information

Linked Data. Department of Software Enginnering Faculty of Information Technology Czech Technical University in Prague Ivo Lašek, 2011

Linked Data. Department of Software Enginnering Faculty of Information Technology Czech Technical University in Prague Ivo Lašek, 2011 Linked Data Department of Software Enginnering Faculty of Information Technology Czech Technical University in Prague Ivo Lašek, 2011 Semantic Web, MI-SWE, 11/2011, Lecture 9 Evropský sociální fond Praha

More information

O.Curé [1 ] Mashup, Microformats, RDFa and GRDDL

O.Curé [1 ] Mashup, Microformats, RDFa and GRDDL O.Curé [1 ] Mashup, Microformats, RDFa and GRDDL O.Curé [2 ] Mashup A mashup application combines contents or servives coming from several, possibly heteogeneous, applications. In the case of a we site,

More information

The Semantic Web DEFINITIONS & APPLICATIONS

The Semantic Web DEFINITIONS & APPLICATIONS The Semantic Web DEFINITIONS & APPLICATIONS Data on the Web There are more an more data on the Web Government data, health related data, general knowledge, company information, flight information, restaurants,

More information

Today s Plan. INF3580 Semantic Technologies Spring Outline. Oblig 4. Lecture 13: More SPARQL. Kjetil Kjernsmo.

Today s Plan. INF3580 Semantic Technologies Spring Outline. Oblig 4. Lecture 13: More SPARQL. Kjetil Kjernsmo. Today s Plan INF3580 Semantic Technologies Spring 2011 Lecture 13: More SPARQL Kjetil Kjernsmo 26th April 2011 1 2 4 Department of Informatics University of Oslo INF3580 :: Spring 2011 Lecture 13 :: 26th

More information

Prof. Dr. Christian Bizer

Prof. Dr. Christian Bizer STI Summit July 6 th, 2011, Riga, Latvia Global Data Integration and Global Data Mining Prof. Dr. Christian Bizer Freie Universität ität Berlin Germany Outline 1. Topology of the Web of Data What data

More information

Linked Data and RDF. COMP60421 Sean Bechhofer

Linked Data and RDF. COMP60421 Sean Bechhofer Linked Data and RDF COMP60421 Sean Bechhofer sean.bechhofer@manchester.ac.uk Building a Semantic Web Annotation Associating metadata with resources Integration Integrating information sources Inference

More information

DBpedia-An Advancement Towards Content Extraction From Wikipedia

DBpedia-An Advancement Towards Content Extraction From Wikipedia DBpedia-An Advancement Towards Content Extraction From Wikipedia Neha Jain Government Degree College R.S Pura, Jammu, J&K Abstract: DBpedia is the research product of the efforts made towards extracting

More information

Nested Queries in SPARQL

Nested Queries in SPARQL Nested Queries in SPARQL Renzo Angles Claudio Gutierrez Presented by: Nuno Lopes Stefan.Decker@deri.org http://www.stefandecker.org/! Copyright 2010. All rights reserved. Motivation for nested queries

More information

2. Knowledge Representation Applied Artificial Intelligence

2. Knowledge Representation Applied Artificial Intelligence 2. Knowledge Representation Applied Artificial Intelligence Prof. Dr. Bernhard Humm Faculty of Computer Science Hochschule Darmstadt University of Applied Sciences 1 Retrospective Introduction to AI What

More information

Semantic Web Programming

Semantic Web Programming *) Semantic Web Programming John Hebeler Matthew Fisher Ryan Blace Andrew Perez-Lopez WILEY Wiley Publishing, Inc. Contents Foreword Introduction xxiii xxv Part One Introducing Semantic Web Programming

More information

Lars Schmidt-Thieme, Information Systems and Machine Learning Lab (ISMLL), University of Hildesheim, Germany, Course on XML and Semantic Web

Lars Schmidt-Thieme, Information Systems and Machine Learning Lab (ISMLL), University of Hildesheim, Germany, Course on XML and Semantic Web Course on XML and Semantic Web Technologies, summer term 2012 0/45 XML and Semantic Web Technologies XML and Semantic Web Technologies II. Semantic Web / 3. SPARQL Query Language for RDF Lars Schmidt-Thieme

More information

Querying the Semantic Web

Querying the Semantic Web Querying the Semantic Web CSE 595 Semantic Web Instructor: Dr. Paul Fodor Stony Brook University http://www3.cs.stonybrook.edu/~pfodor/courses/cse595.html Lecture Outline SPARQL Infrastructure Basics:

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

BASI DI DATI II 2 modulo Parte VIII: SPARQL

BASI DI DATI II 2 modulo Parte VIII: SPARQL BASI DI DATI II 2 modulo Parte VIII: SPARQL Prof. Riccardo Torlone Università Roma Tre Outline Querying RDF SPARQL Query Languages: SQL A language for querying collections of tuples: SELECT SALARY, HIRE_DATE

More information

Implementing and extending SPARQL queries over DLVHEX

Implementing and extending SPARQL queries over DLVHEX Implementing and extending SPARQL queries over DLVHEX Gennaro Frazzingaro Bachelor Thesis Presentation - October 5, 2007 From a work performed in Madrid, Spain Galway, Ireland Rende, Italy How to solve

More information

Linked Data Overview and Usage in Social Networks

Linked Data Overview and Usage in Social Networks Linked Data Overview and Usage in Social Networks Gustavo G. Valdez Technische Universitat Berlin Email: project 2012@ggvaldez.com Abstract This paper intends to introduce the principles of Linked Data,

More information

Semantic Adaptation Approach for Adaptive Web-Based Systems

Semantic Adaptation Approach for Adaptive Web-Based Systems Semantic Adaptation Approach for Adaptive Web-Based Systems Bujar Raufi, Artan Luma, Xhemal Zenuni, Florije Ismaili Faculty of Contemporary Sciences and Technologies, South East European University Ilindenska

More information

Web NDL Authorities SPARQL API Specication

Web NDL Authorities SPARQL API Specication Web NDL Authorities SPARQL API Specication National Diet Library of Japan March 31th, 2014 Contents 1 The Outline of the Web NDLA SPARQL API 2 1.1 SPARQL query API.................................... 2

More information

Orchestrating Music Queries via the Semantic Web

Orchestrating Music Queries via the Semantic Web Orchestrating Music Queries via the Semantic Web Milos Vukicevic, John Galletly American University in Bulgaria Blagoevgrad 2700 Bulgaria +359 73 888 466 milossmi@gmail.com, jgalletly@aubg.bg Abstract

More information

Introduction to a Web of Linked Data

Introduction to a Web of Linked Data Introduction to a Web of Linked Data Week 3: SPARQL Query Language Accessing Data Sources on the Web Olivier Corby Week 3: SPARQL Query Language Query RDF triple stores published on the Web 1 Week 3: SPARQL

More information

Data management and integration

Data management and integration Development of Predictive Toxicology Applications An OpenTox Workshop 19 Sep 2010, Rhodes, Greece Data management and integration presented by Nina Jeliazkova (Ideaconsult Ltd., Bulgaria) Outline Ontology

More information