支持分层细粒度分面检索的分面分类树构建方法研究

项目名称： 支持分层细粒度分面检索的分面分类树构建方法研究

项目编号： No.61202184

项目类型： 青年科学基金项目

立项/批准年度： 2013

项目学科： 计算机科学学科

项目作者： 孙霞

作者单位： 西北大学

项目金额： 23万元

中文摘要： 现有文献分面检索系统大多以学科分类作为主题分面，不能精准反映文献主题内容，导致针对文献主题的查询，退化成传统的基于关键字查询，降低了文献主题检索的可用性，带来了信息"过载问题"。为此，本课题拟以特定领域的学术文献为研究对象，研究支持分层细粒度分面检索的分面分类树构建方法。内容包括：1.分层细粒度文献主题分面模型研究；2.结合文献主题分面检索特点，重点解决隐式分面术语及关系获取、分面分类树优化等问题；3.以Yotta系统中的文献资源检索为应用载体，研制原型系统，对所提理论与方法进行测试与验证。项目特色在于：提出一种分层细粒度分面检索的新型检索模式，探索面向文献主题的分面分类树构建方法。本项目有助于丰富与完善信息检索领域的相关理论与方法，实现基于主题关联的文献组织与导航，从而有助于缓解"信息过载"问题。 预期成果：发表学术论文10篇；培养博士生2名，硕士生3名；国家发明专利1项；研制原型系统。

中文关键词： 分面分类树；拓扑结构；多标签分类；motif模型；

英文摘要： Almost faceted literature search systems take the subject category as a thematic facet, which cannot express the topic of literature specifically and precisely.It results in the bad fact that the oriented-topic faceted search degenerates into traditional search based on keywords, which brought about information-overloading problems. Consequently,the method of faceted taxonomy construction for hierarchical and finegrained literature search will be well investigated in this project. Contents of the project are as follows: 1. We will do the research of the oriented-topic faceted model for hierarchical and finegrained faceted literature search.2. We will solve the problems of the acquisition of facet terms and relations,and the optimization of faceted taxonomy according to the characters of oriented-topic literature faceted search. 3. The faceted taxonomy construction approahes are all applied to a prototype system. By means of simulations,the theory and approaches above are verified. The traits of this project are that a novel hierarchical and finegrained literature faceted search mode is proposed and the method of the oriented-topic faceted taxonomy is explored. The implementation of this project will enrich and improve the theories and approaches of information retrieval. Expectant fulfilment: publish about 10 hi

英文关键词： faceted taxonomy；topology structure；multi-label classification；motif model；