AI for the Web -- Ontology-Based Community Web Portals

Steffen Staab, University of Karlsruhe and ontoprise GmbH; Jürgen Angele, ontoprise GmbH; Stefan Decker, University of Karlsruhe; Michael Erdmann, Andreas Hotho, and Alexander Maedche, University of Karlsruhe; Hans-Peter Schnurr and Rudi Studer, University of Karlsruhe; York Sure, University of Karlsruhe

Community web portals serve as portals for the information needs of particular communities on the web. We here discuss how a comprehensive, ontology-based approach for building and maintaining a high-value community web portal has been conceived and implemented. The ontology serves as a semantic backbone for accessing knowledge on the portal, for contributing information, as well as for developing and maintaining the portal. In particular, the ontology allows for flexible querying and inferencing of knowledge. Actual usage of our technology is facilitated through a set of tools that are about to turn our research system into a portal for wide-spread usage right now. The development of these tools has greatly benefited from some first experiences we had with actual users of the community web portal of the knowledge acquisition community.

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