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Publications by Type: Conference and Workshop Publications

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An Efficient Ontology-Based Expert Peering System
Zitatschlüssel ABA-EOBEPS-07
Autor Alpcan, Tansu and Bauckhage, Christian and Agarwal, Sachin
Buchtitel 6th IAPR Workshop on Graph-based Representations in Pattern Recognition
Seiten 273-282
Jahr 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
Ort Alicante, Spain
Adresse Berlin / Heidelberg, Germany
Jahrgang 4538
Monat June
Herausgeber Escolano, Francisco and Vento, Mario
Verlag Springer
Serie Lecutre Notes in Computer Science (LNCS)
Zusammenfassung 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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