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文章基本信息

  • 标题:Performance Evaluation of Inference Engine in Static and Changeable Environment
  • 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:2012
  • 卷号:3
  • 期号:3
  • 页码:4199-4201
  • 出版社:TechScience Publications
  • 摘要:—The semantic web has brought many challenges for knowledge representation and inference system [2].Inference Engine play important role to extract additional information implicitly by using fact and ontologies [3]. Standard benchmark practices are used to analyze the performance of different inference engine for different version of ontology. This paper aims to execute different parameters for variety of inference engines and generate statistics based on suitability of inference engine with respect to domain under consideration. The results may be useful in choosing the inference engine for different version of ontology and domain.
  • 关键词:Inference Engine; OWL-DL; Performance.$
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