T1: Ontologies: Representation, Engineering, Learning and Applications

Presenters: Alexander Maedche, Steffen Staab (FZI and AIFB, Karlsruhe, DE)
Duration: half day
Prerequisite: basic knowledge about AI and information systems.

Ontologies constitute the foundation for very many intelligent systems nowadays. The have gained popularity for very different needs of groups like the World Wide Web community, the database community and the machine learning community. They are applied to applications and infrastructures like the Semantic Web, information extraction, e-Commerce, or E-Learning applications. The goal of this tutorial is to acquaint the reader with the basics of ontologies that are used for appli-cations: 1.How are they represented? 2.How are they engineered? 3.How can they be learned? 4.How can they be applied? It is the objective of this tutorial to communicate to the audience a comprehensive picture in order to understand the role of ontologies in future information systems.

Outline:

• Introduction
• Ontology Representation
• Ontology Engineering
• Ontology Learning
• Ontology-based Applications

T2: Description Logics for Conceptual Design, Information Access, and Ontology Integration: Research Trends

T3: Semantic web services

Web Services is one of the hot areas in web technology supporting the remote invocation of business functionality over the Internet through message exchange. Research activities as well as industrial developments focus on implementing the mechanisms required for remote invocation and automation of Web Services (using standards such as UDDI, WSDL, X-lang, WSFL, e-speak, .NET etc). Concurrently, the idea and vision of the Semantic Web is catching on and researchers as well as companies have started to realize the benefits of this great vision, which includes ontologies that allow machine-supported data interpretation.
While both efforts are very powerful in themselves, their combination, termed Semantic Web enabled Web Services (SWWS) opens tremendous possibilities. Web services will transform the web from a static collection of information into a distributed device of computation. Semantic Web technology makes the World Wide Web machine-interpretable. Semantic Web enabled Web Services, such as the DAML-S effort, will allow the automatic Discovery, selection and execution of inter-organization business logic making areas like dynamic supply chain composition a reality.
This tutorial brings together theories, challenges, issues, languages and tools from the Semantic Web, Web Services and Agent Technology. We will present the current state of the art in Web-Based Services and sort through the increasing array of relevant tools, languages and theories both from academia and industry. The tutorial includes an exploration of the following:

• Current state of the art in web service research and industrial standards.
• Vision and implications of the Semantic Web and Web Service symbiosis.
• Exploration of the current work and approaches to SWWS

Overview

• Introduction to the Semantic Web and Web Services
• Web Services: The Vision & Truth
• Web Services Modeling Framework
• Semantic Web Enabled Web Services: DAML-S
• Mediation & Matchmakign
• Advertising Services
• Service Process Description & Invocation
• Discussion & Wrap Up

T4: Jena Tutorial

Presenters: Jeremy Carroll, Brian McBride, Andy Seaborne (HP Labs)
Duration: half day
Prerequisites: Java, basic RDF, basic DAML+OIL, a laptop, a Java IDE

Jena is a leading implementation of RDF within Java, and is widely used by semantic web developers. This tutorial is aimed at the researcher who wishes to be able to start using Jena for developing and deploying semantic web prototypes. The tutorial is a hands-on experience with attendees expected to complete a number of simple exercises. The exercises will form about half the content.
Attendees who already know Jena and wish to consider reusing the material to teach others Jena are also welcome.

Goals:
After the tutorial you will be able to:

• Read and write RDF/XML and DAML ontologies from within Jena
• Create and execute RDQL queries
• Navigate an RDF graph within Jena:
  • as a graph;
  • using RDQL queries;
  • and using a DAML ontology
• Navigate a DAML Ontology

• Introduction to RDF as a graph
• The Core Jena API
• Query using RDQL
• DAML+OIL in Jena