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  • 标题:Approach to a conceptual model of indexation in a weak ontology described in RDFS
  • 本地全文:下载
  • 作者:Traore Issa ; Souleymane Oumtanaga ; Babri Michel
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2011
  • 卷号:8
  • 期号:6
  • 出版社:IJCSI Press
  • 摘要:In this paper, we describe a model of conceptual indexation adapted to the RDFS structured resources. The process of the structured IR (Information Research) in XML corpus, based on the balancing of a document terms improves the IR. However, silence in the resources return remains a concern. Operating a weak ontology described by RDFS can improve the percentage of relevant return of documents. The use of semantic relationship between pairs of synonymous modeled concept by graphs enables to take into account the meanings of the terms in a RDFS corpus. This model allows us to consider some types of structural information by exploiting the semantic properties, particularly the synonyms and abbreviations. What considerably improves the performance of the SIR (Systems of Information Research). Experiments on a collection of documents were used to evaluate our model.
  • 关键词:structured IR; SIR; ontology; RDFS; BM25; synonyms.
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