基于社会标签的中文图书自动分类研究  

Research on Automatic Classification of Chinese Books Based on Social Tagging

作　　者：何琳[1] 万健[2] 何娟[1] 郭诗云[1] 

机构地区：[1]南京农业大学信息科技学院,南京210095 [2]南京农业大学公共管理学院,南京210095

出　　处：《现代图书情报技术》2014年第9期1-7,共7页New Technology of Library and Information Service

基　　金：江苏省社会科学基金项目"社会化网络资源的组织模式和管理策略研究"(项目编号:12TQC014);江苏省高校"青蓝工程"的研究成果之一

摘　　要：【目的】通过对社会标签的规范控制,提高社会标签质量,提升其在文本自动分类中的能力。【方法】提出一种"内核受控,外壳非控"的分类模型,通过建立"社会标签–主题词"概念空间,实现利用主题词对标签词的规范控制。【结果】实验结果表明本文提出的基于社会标签的中文图书自动分类方法在综合考虑成本、效率和效果的前提下,具有较强的可行性。【局限】数据获取数量有待进一步增加,同时"社会标签–主题词"概念空间中概念之间深层次语义关系的识别还有待完善。【结论】为提高社会标签质量、提升其文本自动分类能力,提供一种可行方案。[Objective] The paper aims to improve the ability of automatic text classification of social tagging by controlling the relation and quality of social tagging. [Methods] A classification model called ＂core controlled, shell uncontrolled＂ is constructed based on the control of a concept space called Social tagging-Keyword in order to realize the regulation control of social tagging based on subject headings. [Results] The validity tests show that this new method has a better performance on the text classification based on social tagging in consideration of efficiency and the cost. [Limitations] The data used for concept space is not as much as possible due to the restriction of the Website. Also, the concept space is lack of deep semantic relations which would be richer in the future. [Conclusions] This study proposes a feasible solution for improving the quality of social tags and the capacity of automatic text classification.

关 键 词：社会标签 中文图书 概念空间 关联映射 自动分类 

分 类 号：G254.1[文化科学—图书馆学]