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  1. 2007Z

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  2. 语义平滑文件模式聚类,代表了文本挖掘的前沿技术,和热门方向(英语原版)-semantic document clustering model, the representative of the Text Mining of advanced technology, and popular direction (English original)
  3. 所属分类:行业发展研究

    • 发布日期:2008-10-13
    • 文件大小:242999
    • 提供者:汤佩
  1. Semantic_Session_Analysis_for_Web_Usage_Mining

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  2. A semantic session analysis method partitioning Web usage logs is presented.Semantic W eb usage log preparation model enhances usage logs with semantic.The M arkov chain mode1 based on ontology semantic measurement is used to identi. ing which ac
  3. 所属分类:行业发展研究

    • 发布日期:2008-10-13
    • 文件大小:154318
    • 提供者:li
  1. Global-Behaviour-Inference-using-PLSA

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  2. This paperpresent a novel framework for inferring global behaviour patterns through modelling behaviour correlations in a wide-area scene and detecting any anomaly in behaviours occurring both locally and globally. Specifically, This paperpropose
  3. 所属分类:Development Research

    • 发布日期:2017-03-28
    • 文件大小:497915
    • 提供者:shpark
  1. semantic-Web

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  2. 分析了语义Web的逻辑基础.指出了语义Web语言RDF和RDF Schema的语义是基于非经典的模型论 语义-Analysis of the logical basis for the Semantic Web. Pointed out the Semantic Web languages ​ ​ RDF and RDF Schema semantics is based on a model-theoretic semantics of non-classical
  3. 所属分类:Development Research

    • 发布日期:2017-03-30
    • 文件大小:709068
    • 提供者:李忠海·
  1. KREAG

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  2. 语义网数据的大量增加使得RDF数据查询成为一个重要研究主题。关键词查询方式不需要掌握数据模式或查询语言,更适合普通用户使用。文中提出一种RDF数据关键词查询方法KREAG(Keyword query over RDF data based on Entity-triple Association Graph)-A substantial increase in the Semantic Web RDF data query such data become an important resear
  3. 所属分类:Development Research

    • 发布日期:2017-05-03
    • 文件大小:770696
    • 提供者:jim
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