Document Identification by Shallow Semantic Analysis

  • Authors:
  • Abdelhamid Bouchachia;Roland Mittermeir;Heinz Pozewaunig

  • Affiliations:
  • -;-;-

  • Venue:
  • NLDB '00 Proceedings of the 5th International Conference on Applications of Natural Language to Information Systems-Revised Papers
  • Year:
  • 2000

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Abstract

Identifying a matching component is a recurring problem in software engineering, specifically in software reuse. Properly generalized, it can be seen as an information retrieval problem. In the context of defining the architecture of a comprehensive software archive, we are designing a two-level retrieval structure. In this paper we report on the first level, a quick search facility based on analyzing texts written in natural language. Based on textual and structural properties of the documents contained in the repository, the universe is reduced to a moderately sized set of candidates to be further analyzed by more focussed mechanisms.