Relational Data Model in Document Hierarchical Indexing

  • Alexander Gelbukh
  • Grigori Sidorov
  • Adolfo Guzmán-Arenas
Conference paper

DOI: 10.1007/3-540-45433-0_35

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2389)
Cite this paper as:
Gelbukh A., Sidorov G., Guzmán-Arenas A. (2002) Relational Data Model in Document Hierarchical Indexing. In: Ranchhod E., Mamede N.J. (eds) Advances in Natural Language Processing. Lecture Notes in Computer Science, vol 2389. Springer, Berlin, Heidelberg

Abstract

One of the problems of the development of document indexing and retrieval applications is the usage of hierarchies. In this paper we describe a method of automatic hierarchical indexing using the traditional relational data model. The main idea is to assign continuous numbers to the words (grammatical forms of the words) that characterize the nodes in the hierarchy (concept tree). One of the advantages of the proposed scheme is its simplicity. The system that implements such indexing scheme is described.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Alexander Gelbukh
    • 1
  • Grigori Sidorov
    • 1
  • Adolfo Guzmán-Arenas
    • 1
  1. 1.Center for Computing ResearchNational Polytechnic InstituteMexico CityMexico

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