Populating Knowledge Based Decision Support Systems
Ignacio García-Manotas,
Eduardo Lupiani,
Francisco García-Sánchez and
Rafael Valencia-García
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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
International Journal of Decision Support System Technology (IJDSST), 2010, vol. 2, issue 1, 1-20
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
Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jdsst0:v:2:y:2010:i:1:p:1-20
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