1	State of Semantic Web: Ontology Aspects Rudi Studer & Raphael Volz Institute AIFB, University of Karlsruhe http://www.aifb.uni-karlsruhe.de/WBS FZI Research Center for Information Technologies, KM Department (WIM) http://www.fzi.de/wim L3S Learning Lab, Hannover/Karlsruhe http://www.learninglab.de Ontoprise GmbH, Karlsruhe http://www.ontoprise.de DAML PI Meeting, Portland, October 2002
2	Developing the Semantic Web... Research Aspects Application-oriented vs. basic research Objectives and challenges Funding strategies DARPA, EU, ... vs. User & Industrial Application Impact Product development User take-up
3	User & Industrial Application Impact in the Near Future A lot of real-life applications need a flexible way of starting with a small amount of semantics enhancing the application gradually with more and more semantics Keep entry barrier as low as possible!
4	User & Industrial Application Impact in the Near Future : Ontology Management Usability/Usage Connect to well-established modeling paradigm exploit industry know-how, e.g. UML, EER Keep initial learning effort small Light-weight ontologies pay off in a lot of applications see e.g. our On-To-Knowledge project experience Skill management (Swiss Life, Switzerland) Project management (British Telecom, UK) Different application domains raise different requirements
5	User & Industrial Application Impact in the Near Future : Ontology Management Implementation Aspects Exploit well-known implementation techniques to which extent do they meet the requirements that are set up by OWL / OWL Lite? Rely on scalable methods what can we take/learn from the DB community?
6	User & Industrial Application Impact
7	User & Industrial Application Impact
8	Research Topics from an Industry Application Perspective Ontology and Metadata Management Evolution / Versioning Learning / Metadata generation Support incremental approaches Engineering multiple ontologies / Mapping Personalization / Views First methods and tools are available, but a lot of aspects have to be clarified for industry applications
9	Research Topics from an Industry Application Perspective Scalability Issues Handling hundreds of interconnected ontologies Efficient handling of large-scale ontologies Metadata repositories Appropriate transaction mechanisms Keep notions simple enough to be able to provide applicable solutions!
10	Thank you! Rudi Studer & Raphael Volz Institute AIFB, University of Karlsruhe http://www.aifb.uni-karlsruhe.de/WBS FZI Research Center for Information Technologies, KM Department (WIM) http://www.fzi.de/wim L3S Learning Lab, Hannover/Karlsruhe http://www.learninglab.de Ontoprise GmbH, Karlsruhe http://www.ontoprise.de