计算机科学与探索Issue(3)：266-274,9.DOI:10.3778/j.issn.1673-9418.1306048
利用实体语义信息的关键字查询结果多样化
Results Diversification for Keyword Search Using Semantic Information of Entity
摘要
Abstract
In recent years, keyword search on extensible markup language (XML) data receives abroad attention and research. As an effective way to improve search efficiency for users, the diversification of search results has become a hot topic as well. Though search results are diversified with different granularity in the existing methods, the effects are unsatisfied. To solve this problem, this paper proposes a new method of diversifying search results by using the semantic information of central entities. Above all, it analyzes the semantic information which the entities contain and defines a formula to compute semantic similarity. Then, it clusters entities by measuring their semantic similarity among each other, and proposes the location rule of central entities. Based on the work above, search results are classified according to the multiple clusters which their central entities belong to. Users can be navigated through the results with semantic labels if results are classified by the semantics of central entities, so search efficiency is improved. The experimental results verify that the method is effective.关键词
可扩展标记语言(XML)/查询/实体/多样化Key words
extensible markup language (XML)/keyword search/entity/diversification分类
信息技术与安全科学引用本文复制引用
宋玉玲,王宁..利用实体语义信息的关键字查询结果多样化[J].计算机科学与探索,2014,(3):266-274,9.基金项目
The National Natural Science Foundation of China under Grant No.61370060(国家自然科学基金) （国家自然科学基金）
the Natural Science Foundation of Jiangsu Province of China under Grant No. BK2011454(江苏省自然科学基金) （江苏省自然科学基金）
