Populating Knowledge Based Decision Support Systems

Author:

García-Manotas Ignacio1,Lupiani Eduardo1,García-Sánchez Francisco1,Valencia-García Rafael1

Affiliation:

1. 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

Publisher

IGI Global

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