Query expansion using lexical-semantic relations
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Information Retrieval
Ontological Engineering
Conceptual Indexing: A Better Way to Organize Knowledge
Conceptual Indexing: A Better Way to Organize Knowledge
Ontology Matching
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
SomeWhere: a scalable peer-to-peer infrastructure for querying distributed ontologies
ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part I
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In P2P data management systems, semantic interoperability between any two peers that do not share the same ontology relyes on ontology matching. The established correspondences, i.e. the "shared" parts of the ontologies are indeed essential to exchange information. But to what extent the "unshared" part can contribute to information exchange. In this paper, we address this question. We focus on a P2P document management system, where documents and queries are represented by semantic vectors. We propose a specific query expansion step at the query initiator's side and a query interpretation step at the document provider's. Through these steps, unshared concepts contribute to evaluate the relevance of documents wrt a given query. The experiments show that the proposed method enables to correctly evaluate the relevance of a document even if concepts of a query are not shared. In some cases, we are able to find up to 90% of the documents that would be selected when all the concepts are shared.