A framework for ontology-based temporal modelling of business intelligence

被引:0
作者
Mikroyannidis, Alexander [1 ]
Theodoulidis, Babis [2 ]
机构
[1] Open Univ, Knowledge Media Inst, Milton Keynes MK7 6AA, Bucks, England
[2] Univ Manchester, Manchester Business Sch, Manchester M13 9PL, Lancs, England
关键词
ontology; business intelligence; information management; ontology evolution;
D O I
10.1057/kmrp.2012.2
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
Ontologies provide the means for supporting business intelligence (BI) and information management through the interpretation of unstructured content. On the basis of the semantics of ontologies, information can be extracted from natural language texts, and on a further level of processing knowledge that facilitates BI can be discovered. However, in order to act this way, ontologies need to be properly modelled and evolved so that they are constantly aligned with changes that occur in the real world. This paper presents a framework for modelling the temporal aspects of a semantic knowledge base with direct impact on the BI process. Knowledge Management Research & Practice (2012) 10, 188-199. doi:10.1057/kmrp.2012.2; published online 5 March 2012
引用
收藏
页码:188 / 199
页数:12
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