Evaluating a conceptual indexing method by utilizing wordnet

  • Authors:

  • Mustapha Baziz;Mohand Boughanem;Nathalie Aussenac-Gilles

  • Affiliations:

  • IRIT/SIG Campus Univ. Toulouse III, Toulouse;IRIT/SIG Campus Univ. Toulouse III, Toulouse;IRIT/SIG Campus Univ. Toulouse III, Toulouse

  • Venue:
  • CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
  • Year:
  • 2005

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Abstract

This paper describes our participation to the English Girt Task of CLEF 2005 Campaign. A method for conceptual indexing based on WordNet is used. Both documents and queries are mapped onto WordNet. Identified concepts belonging to WordNet synsets are extracted from documents and queries and those having a single sense are expanded. All runs are carried out using a conceptual indexing approach. Results prove a primacy of using queries from the title field of the topics and a slight gain of using stemming compared to the non stemming cases. ACM Categories and Subject Descriptors H3.3 [Information Storage And Retrieval]: Information Search and Retrieval; H.3.1 [Content Analysis and Indexing] – Search process, Retrieval models. General Terms: Algorithms, Experimentation.