Sniper: A Domain Semantic Search Engine
This paper presents Sniper, a knowledge-based computer field search engine in Semantic Web. Sniper takes WordNet as background ontology and integrates the entities in the semantic documents by mapping them to the synsets of WordNet. Sniper returns the most related knowledge in computer field as a result according to the users query. The search results of Sniper are displayed in the form of a list of entities, including concepts and instances, which are extracted from heterogeneous ontology, so the result is close to the users intention. Compared with the traditional search engines and the current semantic search engine, Sniper can show the relevant information that users want more accurately.
semantic search engine semantic documents ontology mapping index model
Hongqiang Jiang Liying Fang Yafen Li Jianzhuo Yah Bin Shi
College of Electronic Information and Control Engineering,Beijing University of Technology, Beijing, China
国际会议
International Forum of Knowledge as a Service(2010知识服务国际论坛)
厦门
英文
215-218
2010-04-12（万方平台首次上网日期，不代表论文的发表时间）