Populating Knowledge Based Decision Support Systems

被引：8

作者：

Garcia-Manotas, Ignacio ^{[1
]}

Lupiani, Eduardo ^{[1
]}

Garcia-Sanchez, Francisco ^{[1
]}

Valencia-Garcia, Rafael ^{[1
]}

机构：

[1] Univ Murcia, Dept Informat & Syst, Murcia, Spain

来源：

INTERNATIONAL JOURNAL OF DECISION SUPPORT SYSTEM TECHNOLOGY | 2010年 / 2卷 / 01期

关键词：

Decision Support Systems (DSS); Knowledge Discovery; Knowledge; Based Systems; Managing Data Resource; Ontologies; Ontology Population; Semantic Web;

D O I：

10.4018/jdsst.2010101601

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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 article, 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.

引用

页码：1 / 20

页数：20

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