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ABSTRACT

We study a methodology for automatic thesaurus construction in order to help the search of documents relevant to a query. This paper aims at presenting how the word-meaning can be analysed automatically, statistically and empirically from discourse data and formally represented as fuzzy subsets of vocabulary, fuzzy relations and classes for thesaurus.

REFERENCES

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INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.1 Content Analysis and Indexing
          Subjects: Thesauruses

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL

  I. Computing Methodologies
  I.5 PATTERN RECOGNITION
      I.5.1 Models
          Subjects: Fuzzy set

General Terms:
Experimentation, Performance

Keywords:
Fuzzy sets theory, Information retrieval systems, Knowledge representation, Thesaurus