Ontology Driven Semantic Search over Structure P2P Network
Nowadays searching over structure P2P network mainly use literal matching words occurrence in documents with those present in user queries. But this process of searching can not deal with the semantics and semantic relationships of words. In this paper, we address these problems by proposing semantic search over structure P2P network based on ontology. We do not assume a global ontology but heterogeneous peer ontologies; instead, each peer maintains an own ontology and constructs concept descriptions for documents and query based on it. Two levels of distributed index are constructed: distributed concept index for peer ontologies and distributed inverted index by concept for documents. Based on them, semantic search is implemented with inference technique of Description Logic between concept descriptions of documents and query. Simulation experiments show that our approach is much higher on retrieval perform than traditional method of literal keywords matching.
Jinqing Cai Xiuli Shao Wenhui Ma
College of Information Technology and Science Nankai University Information Centre of Tianjin Polyte College of Information Technology and Science Nankai University
国际会议
2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)
沈阳
英文
1-6
2009-08-12（万方平台首次上网日期，不代表论文的发表时间）