Ontology-driven knowledge logistics approach as constraint satisfaction problem

被引:0
|
作者
Smirnov, A [1 ]
Pashkin, M [1 ]
Chilov, N [1 ]
Levashova, T [1 ]
Krizhanovsky, A [1 ]
机构
[1] Russian Acad Sci, St Petersburg Inst Informat & Automat, St Petersburg 199178, Russia
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The paper is devoted to knowledge logistics problems. Knowledge logistics with regard to individual user requirements, available knowledge sources, and current situation analysis in an open information environment addresses problems of intelligent support of user activities. Knowledge logistics is guided by the principles underlying both Web services and Semantic Web as understandability of knowledge representation both to humans and machines, enabling knowledge sharing and reuse, ensuring intellectual support, etc. The paper describes an approach to knowledge logistics problem based on ontology-driven methodology and constraint satisfaction / propagation technology. Compatibility of object-oriented constraint network notation with DAML+OIL formalism is considered. Applicability of the approach to actual content is illustrated through a case study based on Binni scenario of humanitarian coalition-based operation.
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收藏
页码:635 / 652
页数:18
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