图书情报工作 ›› 2016, Vol. 60 ›› Issue (21): 128-136.DOI: 10.13266/j.issn.0252-3116.2016.21.017

• 综述述评 • 上一篇    下一篇

知识聚合研究述评

李亚婷   

  1. 武汉大学信息资源研究中心 武汉 430072
  • 收稿日期:2016-08-01 修回日期:2016-10-16 出版日期:2016-11-05 发布日期:2016-11-05
  • 作者简介:李亚婷(ORCID:0000-0001-9581-5576),博士研究生,E-mail:fairy77tt@163.com。
  • 基金资助:

    本文系国家自然科学基金项目“大数据环境下的知识组织与服务创新研究”(项目编号:71420107026)研究成果之一。

A Review on Knowledge Aggregation

Li Yating   

  1. Center for Studies of Information Resources, Wuhan University, Wuhan 430072
  • Received:2016-08-01 Revised:2016-10-16 Online:2016-11-05 Published:2016-11-05

摘要:

[目的/意义] 知识聚合是近年来图书情报领域新兴起的研究领域,通过对知识聚合的内涵、方法和应用进行梳理,提出知识聚合的发展趋势,为后续研究提供参考。[方法/过程] 首先通过概念辨析对知识聚合的内涵进行说明,认为知识聚合是知识组织的新发展方向,并有助于实现基于用户需求的知识服务。其次,从基于情报检索语言、知识网络、语义网和主题四个方面对知识聚合的方法体系进行阐述,进而对知识聚合在知识获取、知识推荐及知识发现上的应用研究进行介绍。[结果/结论] 在此基础上,提出丰富不同数据层面的聚合实证研究、注重聚合方法的融合、加强在大数据环境下的服务创新的发展趋势。

关键词: 知识聚合, 知识组织, 知识服务, 知识关联

Abstract:

[Purpose/significance] Knowledge aggregation has become a research hotspot in Library and Information Science in recent years. Through a review and analysis to concept, methods and applications of knowledge aggregation, this paper proposes the future trend to lay a foundation for further research.[Method/process] Compared with some relative concept, this paper thinks knowledge aggregation is a new direction of knowledge organization, and it contributes to the realization of knowledge service based on user demand. Then, this paper respectively introduces the methods and the applications of knowledge aggregation. There are four methods used in the analysis:based on information retrieval language, based on knowledge network, based on semantic web, and based on the topic. The applications include knowledge acquisition, knowledge recommendation and knowledge discovery. [Result/conclusion] It proposes that the future research should enrich the empirical study on different data levels, focus on the fusion of methods, and enhance the service innovation in the big data environment.

Key words: knowledge aggregation, knowledge organization, knowledge service, knowledge connection

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