Ontology key concepts interpretation

被引:1
|
作者
Vrana, J. [1 ]
Mach, M. [1 ]
机构
[1] Tech Univ, Dept Cybernet & Artificial Intelligence, Fac Elect Engn & Informat, Kosice, Slovakia
关键词
D O I
10.1109/SAMI.2010.5423736
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Semantic Web has reached the point where basic research is supposed to be replaced (at least partially) by research aiming at practical aspects of using the Semantic Web. Ontologies, as the essential technology in this area, have been under the spot light which produced some results, e.g. the Semantic Web Search engines like Watson, Swoogle etc. These help in finding and locating semantic information on the Web. However, they do not support users to quickly understand what an ontology is about, what information it contains. We argue in this paper that vector description, as a snapshot of data comprised by ontologies, may help while understanding of particular ontology. In other words, instead of depicting a whole ontology all together, we prefer reduction of information given and therefore avoid users being overwhelmed and thus help with orienting in a wide offering of ontologies on the web.
引用
收藏
页码:215 / 219
页数:5
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