An Efficient Ontology-Based Expert Peering System

Abstract. This paper proposes an expert peering system for information exchange. Our objective is to develop a real-time search engine for an online community where users can ask experts, who are simply other participating users knowledgeable in that area, for help on various topics. We consider a graph-based representation scheme consisting of an ontology tree where each of node corresponds to a (sub)topic. Consequently, the fields of expertise (profile) of the participating experts are represented as subtrees of this ontology. Since user queries can also be mapped to similar tree structures, assigning queries to relevant experts becomes a problem graph matching. A serialization of the ontology tree allows us to use simple dot products on the ontology vector space as an efficient way to address this problem. We conduct extensive experiments with different parameterizations and observe that our approach is efficient and yields promising results. 1 Motivation and Background Document ret...

• Type: Conference
• Year: 2007
• Where: GBRPR
• Authors: Tansu Alpcan, Christian Bauckhage, Sachin Agarwal
• Keywords: Document Retrieval, GBRPR 2007, Ontology Tree, Pattern Recognition, User Queries