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Populating Knowledge Based Decision Support Systems

Author

Listed:
  • Ignacio García-Manotas

    (University of Murcia, Spain)

  • Eduardo Lupiani

    (University of Murcia, Spain)

  • Francisco García-Sánchez

    (University of Murcia, Spain)

  • Rafael Valencia-García

    (University of Murcia, Spain)

Abstract

Knowledge-based decision support systems (KBDSS) hold up business and organizational decision-making activities on the basis of the knowledge available concerning the domain under question. One of the main problems with knowledge bases is that their construction is a time-consuming task. A number of methodologies have been proposed in the context of the Semantic Web to assist in the development of ontology-based knowledge bases. In this paper, we present a technique for populating knowledge bases from semi-structured text which take advantage of the semantic underpinnings provided by ontologies. This technique has been tested and evaluated in the financial domain

Suggested Citation

  • Ignacio García-Manotas & Eduardo Lupiani & Francisco García-Sánchez & Rafael Valencia-García, 2010. "Populating Knowledge Based Decision Support Systems," International Journal of Decision Support System Technology (IJDSST), IGI Global, vol. 2(1), pages 1-20, January.
    • Handle: RePEc:igg:jdsst0:v:2:y:2010:i:1:p:1-20
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