Modelling knowledge with ZDoc for the purposes of information retrieval

  • Authors:

  • H. Zinglé

  • Affiliations:

  • Université de Nice (F), Nice, France

  • Venue:
  • IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
  • Year:
  • 2006

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Abstract

The paper presents a tool designed for the purpose of information retrieval. It is based on a syntactic-semantic approach of natural language and it exploits the formalism of conceptual graphs for representing the elements of information related to a domain. ZDoc was developed in order to build lexical, semantic and pragmatic resources used to match graphs on documents. It is thus possible either to locate a given information or to list the elements of information contained in a document or in a document flow.