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作 者:张云中[1] 柳迪 ZHANG Yun-zhong;LIU Di(School of Library Information and Archives,Shanghai University,Shanghai 200444,China;Library of Shanghai University of Political Science and Law,Shanghai 201701,China)
机构地区:[1]上海大学图书情报档案系,上海200444 [2]上海政法学院图书馆,上海201701
出 处:《情报科学》2020年第9期23-29,48,共8页Information Science
摘 要:【目的/意义】实现社会化标注系统的资源检索从"词匹配"向"环匹配"的转变,改善社会化标注系统资源检索的效率。【方法/过程】明确社会化标签同义关系发现的本质在于建立社会化标签与同义词环语义映射关系,在深入剖析二者映射原理的基础上,提出一种面向同义词环的社会化标注系统同义关系发现模型,并以"豆瓣图书"标注平台为例,应用实证研究方法检验了所提模型的科学性和可操作性。【结果/结论】依托社会化标注系统数据集构建同义词环并将其应用到检索平台中,能够有效扩充用户的检索需求表达,并改善和提升社会化标注系统中网络资源检索的回召率。【Purpose/significance】The resources retrieval of the social tagging system is changed from"word matching"to"ring matching"to improve the efficiency of resources retrieval in social tagging system.【Method/process】It is clear that the essence of the synonymous relationship discovery of social tags is to establish the semantic mapping relationship between social tags and synonym rings.Based on the deep analysis of the mapping principle,a synonymous relationship discovery model of social tagging system for synonym rings is proposed.Taking the platform which is named"Douban Book"as an example,the proposed model were tested by empirical research methods.【Result/conclusion】Relying on the social tagging system datasets to construct the synonym ring and apply it to the retrieval platform,it can effectively expand the user’s retrieval requirement,and improve the recall rate of network resources retrieval in the social tagging system.
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