DSSim: managing uncertainty on the semantic web
Miklós Nagy, María Vargas-Vera, Enrico Motta · Open Research Online (The Open University) · 2007
Abstract. Managing uncertainty on the Semantic Web can potentially improve the ontology mapping precision which can lead to better acceptance of systems that operate in this environment. Further ontology mapping in the context of Question Answering can provide more correct results if the mapping process can deal with uncertainty effectively that is caused by the incomplete and inconsistent information used and produced by the mapping process. In this paper we introduce our algorithm called “DSSim ” and describe the improvements that we have made compared to OAEI 2006. 1 Presentation of the system 1.1 State, purpose, general statement The problem of mapping two ontologies effectively and efficiently is a necessary precondition to integrate information on the Semantic Web. In recent years different research communities have proposed[1] a wide range of methods for creating such mappings. The proposed methods usually combine syntactic and semantic measures by introducing different techniques ranging from heuristics to machine learning. While these