An ontology-based information retrieval system

Péter Varga, Tamás Mészáros, Csaba Dezsényi, Tadeusz P. Dobrowiecki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationDevelopments in Applied Artificial Intelligence
EditorsMoonis Ali, Paul W. H. Chung, Chris Hinde
PublisherSpringer Verlag
Pages359-368
Number of pages10
ISBN (Print)3540404554, 9783540404552
Publication statusPublished - Jan 1 2003
Event16th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2003 - Loughborough, United Kingdom
Duration: Jun 23 2003Jun 26 2003

Publication series

NameLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume2718
ISSN (Print)0302-9743

Conference

Conference16th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2003
CountryUnited Kingdom
CityLoughborough
Period6/23/036/26/03

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Varga, P., Mészáros, T., Dezsényi, C., & Dobrowiecki, T. P. (2003). An ontology-based information retrieval system. In M. Ali, P. W. H. Chung, & C. Hinde (Eds.), Developments in Applied Artificial Intelligence (pp. 359-368). (Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science); Vol. 2718). Springer Verlag.