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机构地区:[1]吉林大学管理学院
出 处:《数字图书馆论坛》2014年第9期18-22,共5页Digital Library Forum
基 金:国家自然科学基金项目“语义网络环境下数字图书馆资源多维度聚合与可视化展示研究”(编号:71273111)资助
摘 要:大数据时代,知识资源呈现数量大、种类多、关系复杂等特征,增加了知识组织的难度,仅依靠知识自组织方法或知识他组织方法很难缓解这一困境。针对这一问题,文章尝试融合知识自组织和他组织方法。首先,对知识自组织和他组织方法进行简要介绍,其次,从知识组织的主客体、理念、维度、工具、方法与技术等方面比较知识自组织与他组织方法,挖掘两者的融合点。最后,探讨知识自组织和他组织方法融合机理,并构建知识自组织和他组织方法融合模型。本研究不仅深化了知识组织理论,还为知识组织实践工作提供新的方法,具有重要意义。In the era of big data, knowledge resources present features of large quantity, varieties and complex relationships, which increase the difficulty of knowledge organization, and relying knowledge self-organizing methods or knowledge other-organization methods alone is very difficult to al eviate this dilemma. Aiming at this problem, this paper at empts to integrate knowledge self-organization and knowledge other-organization methods. Firstly, it introduces knowledge self-organization and knowledge other-organization methods briefly. Secondly, it compares knowledge self-organization and knowledge other-organization methods in terms of subject and object, concepts, dimensions, tools, methods and techniques of knowledge organization, mining integration points. Final y, it discusses the fusion mechanism and building fusion model of knowledge self-organization and knowledge other-organization methods. The research not only deepens the theory of knowledge organization, but also provides a new method for practical work of knowledge organization, which has great significance.
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