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Semantic Web Course Introduction

Semantic Web Course Introduction. Vagan Terziyan Department of Mathematical Information Technology, University of Jyvaskyla vagan@it.jyu.fi ; terziyan@yahoo.com http://www.cs.jyu.fi/ai/vagan +358 14 260-4618 ITIN, France, February 2006. Contents. Course introduction Practical information

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Semantic Web Course Introduction

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  1. Semantic WebCourse Introduction Vagan Terziyan Department of Mathematical Information Technology, University of Jyvaskyla vagan@it.jyu.fi ; terziyan@yahoo.com http://www.cs.jyu.fi/ai/vagan +358 14 260-4618 ITIN, France, February 2006

  2. Contents • Course introduction • Practical information • Lectures • Course exercise

  3. Course Introduction:Semantic Web - new Possibilities for Intelligent Web Applications

  4. Motivation for Semantic Web

  5. Semantic Web Content: New “Users” applications agents

  6. Semantic Web: Resource Integration Semantic annotation Shared ontology Web resources / services / DBs / etc.

  7. Semantic Web: which resources to annotate ? Industrial and business processes External world resources Web resources / services / DBs / etc. Web users (profiles, preferences) Shared ontology Multimedia resources Web agents / applications Web access devices Smart machines and devices

  8. Word-Wide Correlated Activities Semantic Web Agentcities is a global, collaborative effort to construct an open network of on-line systems hosting diverse agent based services. Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation Agentcities Grid Computing Wide-area distributed computing, or "grid” technologies, provide the foundation to a number of large-scale efforts utilizing the global Internet to build distributed computing and communications infrastructures. FIPA FIPA is a non-profit organisation aimed at producing standards for the interoperation of heterogeneous software agents. Web Services WWW is more and more used for application to application communication. The programmatic interfaces made available are referred to as Web services. The goal of the Web Services Activity is to develop a set of technologies in order to bring Web services to their full potential

  9. Semantic Technology Semantic technology as a software technology allows the meaning of information to be known and processed at execution time. For a semantic technology there must be a knowledge model of some part of the world that is used by one or more applications at execution time.

  10. Semantic Technology Market Forecasting Semantic solution, services & software markets will grow rapidly, topping $60B by 2010.

  11. Excellent Job Opportunities:Samples of Mail-List with Job Advertisements OntoWeb (at least 2-3 job advertisements on Semantic Web and Web Services Technologies in Europe per week!) ontoweb-list@lists.deri.org To register follow the link: http://lists.deri.org/mailman Semantic Web (at least 2-3 job advertisements on Semantic Web and Web Services Technologies in Europe per week!) seweb-list@lists.deri.org To register follow the link: http://lists.deri.org/mailman

  12. Course Description

  13. Practical Information Lectures: 10 hours Monday:20 February, 9:00-10:15; 10:30-12:00; 13h30-15h15; Tuesday:21 February, 9:00-10:15; 10:30-12:00.  Slides available online (links from Introductory Lecture) Exercise: 6 hours Monday:20 February, 15:30-17:00 Tuesday:21 February, 13:30-15:15;15:30-17:00.  task will be announced during the lectures

  14. Lectures

  15. Semantic Web Lectures Lectures Schedule 20/02/2006 (9:00 - 10:15) – Lecture 1: Semantic Web Basics 20/02/2006(10:30 - 12:00) – Lecture 2: Semantic Web Applications 20/02/2006 (13:30 - 15:15) – Lecture 3: Protege Tutorial (Designing Ontologies with Protege) 21/02/2006 (9:00 - 10:15) – Lecture 4: Semantic Web Services Basics 21/02/2006 (10:30 - 12:00) – Lecture 5: Industrial Smart Resources in Semantic Web

  16. Introduction http://www.cs.jyu.fi/ai/vagan/SW_Introduction.ppt

  17. Lecture 1: Semantic Web Basics http://www.cs.jyu.fi/ai/OntoGroup/pres/SW_Tutorial_2004_Part_1.ppt http://www.cs.jyu.fi/ai/vagan/Semantic_Web.ppt

  18. Lecture 2: Semantic Web Applications http://www.cs.jyu.fi/ai/OntoGroup/pres/SW_Tutorial_2004_Part_2.ppt

  19. Lecture 3: Tutorial: Designing Ontologies with Protégé • Protégé is an ontology editor and a knowledge-base editor (download from http://protege.stanford.edu). • Protégé is also an open-source, Java tool that provides an extensible architecture for the creation of customized knowledge-based applications. • Protégé's OWL Plug-in now provides support for editing Semantic Web ontologies. http://www.cs.man.ac.uk/~horrocks/Teaching/cs646/ http://www.co-ode.org/resources/tutorials/ProtegeOWLTutorial.pdf

  20. Lecture 4: Semantic Web Services Basics http://www.cs.jyu.fi/ai/vagan/Why_SWS.ppt

  21. Lecture 5: Industrial Smart Resources in Semantic Web http://www.cs.jyu.fi/ai/vagan/SmartResource_Summary.ppt

  22. Additional Material for Self-Study

  23. Just for case you do not know: Introduction to XML http://www.cs.jyu.fi/ai/vagan/XML.ppt

  24. Markup Techniques http://www.cs.jyu.fi/ai/vagan/Markup_Techniques.ppt

  25. RDF and RDF Schema http://www.cs.jyu.fi/ai/vagan/RDF.ppt

  26. Ontologies in Semantic Web http://www.cs.jyu.fi/ai/vagan/Ontologies_1.ppt http://www.cs.jyu.fi/ai/vagan/Ontologies_2.ppt

  27. JENA • Jena is a Java framework for building Semantic Web applications. It provides a programmatic environment for RDF, RDFS and OWL, including a rule-based inference engine. • Jena is open source and grown out of work with the HP Labs Semantic Web Program. • The Jena Framework includes: • A RDF API • Reading and writing RDF in RDF/XML, N3 and N-Triples • An OWL API • In-memory and persistent storage • RDQL – a query language for RDF http://jena.sourceforge.net/tutorial/RDF_API/index.html http://jena.sourceforge.net/

  28. Jena Integration of Protégé-OWL • Jena is one of the most widely used Java APIs for RDF and OWL, providing services for model representation, parsing, database persistence, querying and some visualization tools. Protege-OWL always had a close relationship with Jena. The Jena ARP parser is still used in the Protege-OWL parser, and various other services such as species validation and datatype handling have been reused from Jena. It was furthermore possible to convert a Protege OWLModel into a Jena OntModel, to get a static snapshot of the model at run time. This model, however had to be rebuild after each change in the model. • As of August 2005, Protege-OWL is now much closer integrated with Jena. This integration allows programmers to user certain Jena functions at run-time, without having to go through the slow rebuild process each time. The architecture of this integration is illustrated on the next slide… http://protege.stanford.edu/plugins/owl/api/guide.html

  29. Jena Integration of Protégé-OWL The key to this integration is the fact that both systems operate on a low-level "triple" representation of the model. Protege has its native frame store mechanism, which has been wrapped in Protege-OWL with the TripleStore classes. In the Jena world, the corresponding interfaces are called Graph and Model. The Protege TripleStore has been wrapped into a Jena Graph, so that any read access from the Jena API in fact operates on the Protege triples. In order to modify these triples, the conventional Protege-OWL API must be used. However, this mechanisms allows to use Jena methods for querying while the ontology is edited inside Protege. The OWLModel API has a new method getJenaModel() to access a Jena view of the Protege model at run-time. This can be used by Protege plugin developers. Many other Jena services can be wrapped into Protege plugins this way, by providing them a pointer to the Model created by Protege.

  30. Joseki - a SPARQL Server for Jena • Joseki: The Jena RDF Server. Joseki is a server for publishing RDF models on the web. Models have URLs and they can be access by HTTP GET. Joseki is part of the Jena RDF framework. • Joseki is an HTTP and SOAP engine supports the SPARQL Protocol and the SPARQL RDF Query language. SPARQL is developed by the W3C RDF Data Access Working Group. • Joseki Features: • RDF Data from files and databases • HTTP (GET and POST) implementation of the SPARQL protocol • SOAP implementation of the SPARQL protocol http://prdownloads.sourceforge.net/joseki/joseki-3.0-beta-1.zip?download http://www.joseki.org/

  31. Course Exercise

  32. Task for the Exercise (6 x 45 min) • Learn to use Protégé (45 min) – personal work; • Create ontology for companies description based on Protégé tool (work in 4 groups, 5 persons per group all from different companies) (45+45 min); • semantically annotate your employer company based on ontology of your group – personal work (45 min); • Recreate groups so that each new group contains one representative from each previous group (i.e. it will be 5 groups, 4 persons per group), each group independently tries to integrate 4 original ontologies and appropriate semantic descriptions to one ontology in Protégé, printing final files to the report (45+45 min).

  33. Lecture Notes and Textbook Lecture Notes (available online) Follow link: http://www.cs.jyu.fi/ai/vagan/courses Main recommended textbook Dave McComb, Semantics in Business Systems, Morgan Kaufmann, 2004.

  34. Additional Reading Dieter Fensel: “Ontologies: A Silver Bullet for Knowledge Management and Electronic Commerce”, Springer Verlag, 2001 Johan Hjelm, “Creating the Semantic Web with RDF”, John Wiley, 2001 John Davies, Dieter Fensel & Frank van Harmelen:, “Towards the Semantic WEB – Ontology Driven Knowledge Management”, John Wiley, 2002 Dieter Fensel, Wolfgang Wahlster, Henry Lieberman, James Hendler (Eds.): “Spinning the Semantic Web: Bringing the World Wide Web to Its Full Potential”, MIT Press, 2002 Michael C. Daconta, Leo J. Obrst, Kevin T. Smith: “The Semantic Web: A Guide to the Future of XML, Web Services, and Knowledge Management”, John Wiley, 2003 Thomas B. Passin, "Explorer's Guide to the Semantic Web", ISBN 1932394206, June 2004 Jeff Pollock and Ralph Hodgson, "Adaptive Information: Improving Business Through Semantic Interoperability, Grid Computing, and Enterprise Integration“, Wiley Computer Publishing, September 2004 M. Klein and B. Omelayenko (eds.), “Knowledge Transformation for the Semantic Web”, Vol. 95, Frontiers in Artificial Intelligence and Applications, IOS Press, 2003

  35. Where to find out more: Web-Sites • OWL, OWL-S • http://www.w3.org/2004/01/sws-pressrelease • http://www.w3.org/2004/01/sws-testimonial • Semantic Web • http://www.w3.org/2001/sw/ • http://www.semwebcentral.org/ • Semantic Web Services • http://www.daml.org/services/ • http://www.swsi.org/ • http://www.wsmo.org

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