Semantic enrichment for improving systems interoperability

  • Authors:
  • Xiaomeng Su;Sari Hakkarainen;Terje Brasethvik

  • Affiliations:
  • Norwegian University of Science and Technology(NTNU), Trondheim, Norway;Norwegian University of Science and Technology(NTNU), Trondheim, Norway;Norwegian University of Science and Technology(NTNU), Trondheim, Norway

  • Venue:
  • Proceedings of the 2004 ACM symposium on Applied computing
  • Year:
  • 2004

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Abstract

The overall goal addressed in this paper is to improve semantic interoperability in heterogeneous systems by means of establishing mappings between relevant domain ontologies. The mappings are discovered based on the technique of semantic enrichment through extension analysis, i.e. using instance information of the ontology to enrich the original ontology and further to calculate similarities between concepts in two ontologies. Text categorization is used to automatically assign instance to the concepts in the ontology. Information retrieval techniques are used to calculate similarity between concepts. Based on the similarities measure, a heuristic method is used to establish mapping assertions for the two ontologies. The method is illustrated using a product catalogue scenario.