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 | |
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 | ||||
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! |
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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 | |||||
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? |
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| Rely on scalable methods | |||
| what can we take/learn from the DB community? | |||
User & Industrial Application Impact
User & Industrial Application Impact
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 | |||
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! |
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| 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 | |