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An Efficient Ontology-Based Expert Peering System
Citation key ABA-EOBEPS-07
Author Alpcan, Tansu and Bauckhage, Christian and Agarwal, Sachin
Title of Book 6th IAPR Workshop on Graph-based Representations in Pattern Recognition
Pages 273-282
Year 2007
ISBN 978-3-540-72902-0
ISSN 0302-9743
Online ISSN 1611-3349
DOI http://dx.doi.org/10.1007/978-3-540-72903-7
Location Alicante, Spain
Address Berlin / Heidelberg, Germany
Volume 4538
Month June
Editor Escolano, Francisco and Vento, Mario
Publisher Springer
Series Lecutre Notes in Computer Science (LNCS)
Abstract This paper proposes a novel expert peering system for information exchange. Our objective is to develop a real-time search engine for an online community where users can query experts, who are simply other participating users knowledgeable in that area, for help on various topics. We consider a graph-based scheme consisting of an ontology tree where each node represents a (sub)topic. Consequently, the fields of expertise or profiles of the participating experts correspond to subtrees of this ontology. Since user queries can also be mapped to similar tree structures, assigning queries to relevant experts becomes a problem of graph matching. A serialization of the ontology tree allows us to use simple dot products on the ontology vector space effectively to address this problem. As a demonstrative example, we conduct extensive experiments with different parameterizations. We observe that our approach is efficient and yields promising results.
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