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Peer-to-peer search is an alternative to address the scalability concerns regarding centralized search, due to its inherent scalability in terms of computational resources. Concept search is an information retrieval approach which is based on retrieval models and data structures of syntactic search, but which searches for concepts rather than words thus addressing the ambiguity problems of syntactic search approach. In this paper, the authors combine peer-to-peer search with concept search and compare two different approaches to peer-to-peer concept-based search. In a single layer peer-to-peer concept search, a single universal knowledge is used to map terms to concepts.
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