An ontology-based information retrieval system

Authors:
Péter Varga;Tamás Mészáros;Csaba Dezsényi;Tadeusz P. Dobrowiecki
Affiliations:
Department of Measurement and Information Systems, Budapest University of Technology and Economics, Budapest, Hungary;Department of Measurement and Information Systems, Budapest University of Technology and Economics (BUTE), Budapest, Hungary;Department of Measurement and Information Systems, Budapest University of Technology and Economics (BUTE), Budapest, Hungary;Department of Measurement and Information Systems, Budapest University of Technology and Economics (BUTE), Budapest, Hungary
Venue:
IEA/AIE'2003 Proceedings of the 16th international conference on Developments in applied artificial intelligence
Year:
2003

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Abstract

Authors describe a general architecture and a prototype application for the concise storage and presentation of the information retrieved from a wide spectrum of information sources. The proposed architecture was influenced by particular challenges of knowledge intensive domain, mining the knowledge content of primarily unstructured textual information, demands for context driven, multi-faceted, up-to-date query and presentation of the required information, and by the intricacies of the Hungarian language, calling for special solutions to a number of linguistic problems.