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Combining ontologies and document retrieval techniques: a case study for an e-learning scenario

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4 Author(s)
S. Baumann ; German Res. Center for Artificial Intelligence, DFKI GmbH, Kaiserslautern, Germany ; A. Dengel ; M. Junker ; T. Kieninger

Ontologies are a perfect knowledge base for enriching standard document retrieval and classification techniques. In this paper we describe such an approach for the application of e-learning. We choose a basic combination of ontologies, some simple heuristics and classic term, resp. document similarity measure to deliver the required functionality. Our system has a distributed architecture handling the linkage to a database-driven document management system with browser-suited output. First results are presented showing the advantages of automatic generation of queries based on ontologies.

Published in:

Database and Expert Systems Applications, 2002. Proceedings. 13th International Workshop on

Date of Conference:

2-6 Sept. 2002