| 面向企业业务的智能知识推送研究 |
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| 引用本文： | 柳巧玲.面向企业业务的智能知识推送研究[J].情报理论与实践,2010(11). |
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| 作者姓名： | 柳巧玲 |
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| 作者单位： | 南京审计学院,江苏南京210029; |
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| 摘 要： | 企业在生产过程中会不断产生新的知识,但用户却不能及时地了解这些新知识的存在,为了提高知识主动服务的能力,提出了构建面向企业业务的知识推送系统。首先阐述了企业业务活动与知识的关系,然后提出了一种面向企业业务的智能知识推送系统模型,并对其实现的关键技术作了进一步的阐述。该模型为构建面向企业业务的知识推送系统以及解决系统构建中的关键问题提供了理论指导。Abstract：New knowledge is continuously generated in enterprise production process,however,users can not know the existence of new knowledge in time.In order to improve the active service capacity of knowledge,this paper proposes to build a knowledge push system for enterprise business.The paper firstly expounds the relationships between enterprise business activities and knowledge,then proposes a model of the intelligent knowledge push system for enterprise business.The key technologies for the construction of the system are also elaborated.The model provides theoretical guidance for building the knowledge push system for enterprise business and for solving the key technologies in the construction of the system.
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| 关 键 词： | 知识推送 企业 语义匹配 本体 |
Research on Intelligent Knowledge Push for Enterprise Business |
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| Liu Qiaoling.Research on Intelligent Knowledge Push for Enterprise Business[J].Information Studies:Theory & Application,2010(11). |
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| Authors: | Liu Qiaoling |
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| Abstract: | New knowledge is continuously generated in enterprise production process,however,users can not know the existence of new knowledge in time.In order to improve the active service capacity of knowledge,this paper proposes to build a knowledge push system for enterprise business.The paper firstly expounds the relationships between enterprise business activities and knowledge,then proposes a model of the intelligent knowledge push system for enterprise business.The key technologies for the construction of the system are also elaborated.The model provides theoretical guidance for building the knowledge push system for enterprise business and for solving the key technologies in the construction of the system. |
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| Keywords: | knowledge push enterprise semantic matching ontology |
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