Enhancing information systems management with natural language processing techniques

  • Authors:
  • Elisabeth Métais

  • Affiliations:
  • CEDRIC Laboratory, CNAM of Paris, 292 rue Saint Martin, 75141 Paris Cedex 03, France

  • Venue:
  • Data & Knowledge Engineering - DKE 40
  • Year:
  • 2002

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Abstract

Natural language and databases are core components of information systems. They are related to each other because they share the same purpose: the conceptualization aspects of the real world in order to deal with them in some way. Natural language processing (NLP) techniques may substantially enhance most phases of the information system lifecycle, starting with requirements analysis, specification and validation, and going up to conflict resolution, result processing and presentation. Furthermore, natural language based query languages and user interfaces facilitate the access to information for anyone and allow for new paradigms in the usage of computerized services. This paper investigates the use of NLP techniques in the design phase of information systems. Then, it reports on data base querying and information retrieval enhanced with NLP.