SW Introduction

Semantic Web Course IntroductionVagan Terziyan

Department of Mathematical Information Technology, University of Jyvaskyla

[email protected] ; [email protected]://www.cs.jyu.fi/ai/vagan+358 14 260-4618ITIN, France, February 2006

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ContentsCourse introductionPractical informationLecturesCourse exercise

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

Motivation for Semantic Web

Semantic Web Content: New Usersapplicationsagents

Semantic Annotations

Ontologies

Logical Support

Applications / Services

Tools

Languages

Web content

EMBED MS_ClipArt_Gallery



Users

Creators

WWW and Beyond

Semantic Web

Semantic Web and Beyond

Creators

Users


Semantic Web content

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

Web resources / services / DBs / etc.Shared ontologyWeb users (profiles, preferences)Web access devicesWeb agents / applicationsExternal world resourcesSmart machines and devicesIndustrial and business processesSemantic Web: which resources to annotate ?Multimedia resources

Word-Wide Correlated ActivitiesSemantic WebGrid ComputingWeb ServicesAgentcitiesAgentcities is a global, collaborative effort to construct an open network of on-line systems hosting diverse agent based 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 potentialFIPAFIPA is a non-profit organisation aimed at producing standards for the interoperation of heterogeneous software agents.Semantic Web is an extension of the currentweb in which information is given well-definedmeaning, better enabling computers and people to work in cooperationWide-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.

Semantic TechnologySemantic 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.

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

Excellent Job Opportunities:Samples of Mail-List with Job AdvertisementsOntoWeb (at least 2-3 job advertisements on Semantic Web and Web Services Technologies in Europe per week!)[email protected] 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!)[email protected] register follow the link:http://lists.deri.org/mailman

Course Description

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 hoursMonday: 20 February, 15:30-17:00Tuesday: 21 February, 13:30-15:15; 15:30-17:00. task will be announced during the lectures

Privacy of customer dataScalability of the recommendation calculations

Lectures

Semantic Web LecturesLectures Schedule20/02/2006 (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

Introductionhttp://www.cs.jyu.fi/ai/vagan/SW_Introduction.ppt

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

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

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

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

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

Additional Material for Self-Study

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

Markup Techniqueshttp://www.cs.jyu.fi/ai/vagan/Markup_Techniques.ppt

RDF and RDF Schemahttp://www.cs.jyu.fi/ai/vagan/RDF.ppt

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

JENAJena 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 RDFhttp://jena.sourceforge.net/http://jena.sourceforge.net/tutorial/RDF_API/index.html

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

Jena Integration of Protg-OWLhttp://protege.stanford.edu/plugins/owl/api/guide.html

Jena Integration of Protg-OWLThe 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.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.

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://www.joseki.org/http://prdownloads.sourceforge.net/joseki/joseki-3.0-beta-1.zip?download

Course Exercise

Task for the Exercise (6 x 45 min)Learn to use Protg (45 min) personal work;Create ontology for companies description based on Protg 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 Protg, printing final files to the report (45+45 min).

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

Additional ReadingDieter Fensel, Wolfgang Wahlster, Henry Lieberman, James Hendler (Eds.): Spinning the Semantic Web: Bringing the World Wide Web to Its Full Potential, MIT Press, 2002John Davies, Dieter Fensel & Frank van Harmelen:, Towards the Semantic WEB Ontology Driven Knowledge Management, John Wiley, 2002Johan Hjelm, Creating the Semantic Web with RDF, John Wiley, 2001Dieter Fensel: Ontologies: A Silver Bullet for Knowledge Management and Electronic Commerce, Springer Verlag, 2001Jeff Pollock and Ralph Hodgson, "Adaptive Information: Improving Business Through Semantic Interoperability, Grid Computing, and Enterprise Integration, Wiley Computer Publishing, September 2004Michael 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, 2003Thomas B. Passin, "Explorer's Guide to the Semantic Web", ISBN 1932394206, June 2004M. Klein and B. Omelayenko (eds.), Knowledge Transformation for the Semantic Web, Vol. 95, Frontiers in Artificial Intelligence and Applications, IOS Press, 2003

Where to find out more: Web-SitesOWL, OWL-S

http://www.w3.org/2004/01/sws-pressreleasehttp://www.w3.org/2004/01/sws-testimonialSemantic 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

jjjjPrivacy of customer dataScalability of the recommendation calculations

SW Introduction

Documents

Transcript of SW Introduction