An Effective Approach to Search on Semantic Desktop: Translating Keyword Query to Semantic Search
When searching on semantic desktop, current keyword search approaches provide a comfortable way for end users to express their information needs based on keywords, while ontology-based semantic search promises to produce more accurate answers to user queries by taking advantage of the availability of explicit semantics of information. Therefore, how to combine these two search approaches to enable end users find their real information needs efficiently is a problem. In this paper, we present an approach for translating end users keyword queries to semantic SPARQL formal queries on semantic desktop effectively, which mainly takes three steps: keywords mapping, formal query construction and query ranking. The experiment shows that our approach achieved encouraging searching results.
query semantic search semantic desktop formal query construction query ranking
Guan Wang Xiangyang Gong Wendong Wang Jinghai Rao Canfeng Chen
State Key Lab of Switching & Networking Technology Beijing University of Posts and Telecommunication Nokia Research Center Nokia (China) Investment CO. LTD Beijing, China
国际会议
成都
英文
203-207
2011-01-14（万方平台首次上网日期，不代表论文的发表时间）