关键词: 对等网络, 知识集成, 分类检索, 语义路由, 加载推理, 知识获取

Abstract: In order to achieve equilibrium between knowledge acquisition efficiency and semantic consistence in query process of Peer-to-Peer(P2P)-oriented knowledge integration network, a query approach combing classified query, semantic routing and semantic inference mechanisms was proposed. Accoring to characteristics of network topological structure, the approach defined query category oriented to different scopes and limited the scope of query. Knowledge node routing lists based on semantic matching which satisfied query requirements were obtained. Semantic scope was limited selectively in order to obtain higher query efficiency and more reasonable query result sets. Semantic inference mechanism was established. With the help of contextual semantic models, it supported formal expression of complicated query semantics. This query mechanism made full use of topological structure characteristics of integrated network and semantic reasoning feature of knowledge integration network, it reduced search time and space consumption, enhanced semantic consistence and semantic reasoning ability.

Key words: peer-to-peer, knowledge integration, classified query, semantic routing, semantic inference, knowledge acquisition