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  • 标题:Classifying Problem in Inference Engine for Different Version Based Ontology
  • 本地全文:下载
  • 作者:Ajaysinh Rathod ; Bhaumik Nagar ; Sachin Sharma
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2013
  • 卷号:4
  • 期号:1
  • 页码:167-170
  • 出版社:TechScience Publications
  • 摘要:an ability of reasoning capability of inference engine is useful to derive new & useful information from existing knowledgebase. Classifying algorithms is use to classifying an ontology which improves quality of search on web. Currently Inference engines are able to classify the small ontology completely. For Large and complex version based ontology size is been increase practically. The main aim of paper is necessary to evaluating the performance of inference engine which focus on classification parameter for large and complex version based ontology for different domain. Result might be useful to select inference engine for practically on version based ontology for different domain.
  • 关键词:Inference Engine; Classified Time; OWL-DL;Performance.
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