Association search in semantic web: search + inference

Association search is to search for certain instances in semantic web and then make inferences from and about the instances we have found. In this paper, we propose the problem of association search and our preliminary solution for it using Bayesian network. We first minutely define the association search and its categorization. We then define tasks in association search. In terms of Bayesian network, we take ontology taxonomy as network structure in Bayesian network. We use the query log of instances to estimate the network parameters. After the Bayesian network is constructed, we give the solution for association search in the network. Categories and Subject Descriptors I.2.4 [Artificial Intelligence]: Knowledge Representation Formalisms and Methods -- Relation systems, Semantic networks General Terms Algorithms, Measurement, Performance, Languages. Keywords Ontology, Bayesian Network, Knowledge Management, Inference

• Type: Conference
• Year: 2005
• Where: WWW
• Authors: Bangyong Liang, Jie Tang, Juan-Zi Li
• Keywords: Association Search, Bayesian Network, Internet Technology, Network Parameters, WWW 2005