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Using a Connectionist Approach for Enhancing Domain Ontologies: Self-Organizing Word Category Maps Revisited

  • Michael Dittenbach
  • Dieter Merkl
  • Helmut Berger
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2737)

Abstract

In this paper, we present an approach based on neural networks for organizing words of a specific domain according to their semantic relations. The terms, which are extracted from domain-specific text documents, are mapped onto a two-dimensional map to provide an intuitive interface displaying semantically similar words in spatially similar regions. This representation of a domain vocabulary supports the construction and enrichment of domain ontologies by making relevant concepts and their relations evident.

Keywords

Semantic Similarity Semantic Relation Domain Ontology Information Retrieval System Ontology Engineering 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Michael Dittenbach
    • 1
  • Dieter Merkl
    • 1
    • 2
  • Helmut Berger
    • 1
  1. 1.E-Commerce Competence Center – EC3WienAustria
  2. 2.Institut für SoftwaretechnikTechnische Universität WienWienAustria

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