Semantic Methods for P2P Query Routing

Abstract

AbstractKnowledge sharing in a virtual organization requires a knowledge life cycle including knowledge provisioning, terminology alignment, determination of resource location, query routing, and query answering. In this talk we focus on the issue of determining a relevant resource in a completely decentralized setting such as necessitated by peer-to-peer knowledge management in virtual organizations. Requirements for this task include, e.g., full autonomy of peers as well as full control over own resources and therefore preclude prominent resource location and query routing schemes such as distributed hash tables. In order to tackle given requirements we use a resource location and query routing approach that exploits social metaphors of topical experts and experts’ experts as well as semantic similarity of queries and information sources. The approach has been fully tested in simulation runs and partially implemented in the system Bibster (http://bibster.semanticweb.org).KeywordsSemantic SimilarityContent ProviderAverage Path LengthDistribute Hash TableQuery MessageThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.