Understanding Keyword Queries for XML Retrieval

摘要：

Providing structural information for keyword queries in XML retrieval can greatly improve the retrieval performance. In this paper, we propose a new approach to automatically infer structural information for keyword queries (i.e. target and condition node types for the keywords) to data-centric XML retrieval. Compared with the existing inferring methods, we exploit both schematic and statistical information about XML documents, and we take into account the importance of occurrence contexts of keywords as well as the interrelationships between the XML nodes. We implemented the proposed approach in an XML keyword search system, called XNodeRelation, and extensive experiments show the effectiveness of our approach.

关键词： XML keyword search condition node type target node type XML retrieval query understanding

作者: Qiushi Li Qiuyue Wang Shan Wang

作者单位: Key Laboratory of the Ministry of Education for Data Engineering and Knowledge Engineering School of Information, Renmin University of China, Beijing, China

会议类型: 国际会议

会议名称: 2011 International Conference on Database and Data Mining(ICDDM 2011)(2011年数据库和数据挖掘国际会议)

会议地点: 三亚

会议语种:英文

页码: 166-170

在线出版日期: 2011-03-25（万方平台首次上网日期，不代表论文的发表时间）