DocumentCode
2429794
Title
Combining ontologies and document retrieval techniques: a case study for an e-learning scenario
Author
Baumann, Stephan ; Dengel, Andreas ; Junker, Markus ; Kieninger, Thomas
Author_Institution
German Res. Center for Artificial Intelligence, DFKI GmbH, Kaiserslautern, Germany
fYear
2002
fDate
2-6 Sept. 2002
Firstpage
133
Lastpage
137
Abstract
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.
Keywords
client-server systems; computer aided instruction; document handling; knowledge engineering; query processing; automatic query generation; browser-suited output; database-driven document management system; distributed architecture; document classification; document retrieval; document similarity measure; e-learning; heuristics; knowledge base; ontologies; Artificial intelligence; Computer aided software engineering; Couplings; Distributed databases; Document handling; Electronic learning; Information retrieval; Ontologies; Prototypes; Relational databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Database and Expert Systems Applications, 2002. Proceedings. 13th International Workshop on
ISSN
1529-4188
Print_ISBN
0-7695-1668-8
Type
conf
DOI
10.1109/DEXA.2002.1045888
Filename
1045888
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