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
收藏
页码：1 / 20
页数：20
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