*Toward Strategy Selection for Ontology Alignment
نویسندگان
چکیده
This paper is concerned with the issue of strategy selection for ontology alignment. By strategy selection we mean selecting strategies to align ontologies for different tasks according to the characteristics of the ontologies. Previously, strategy selection issues were often conducted manually or in an adhoc fashion. This paper first gives a formalization of the entire problem. It then proposes an approach to estimate two factors for each alignment task and perform the selection based on the factors. The proposed approach has been implemented in an alignment tool called RiMOM. Given two ontologies, RiMOM intends to combine multiple strategies, aiming at finding the “optimal” alignments from the source ontology to the target one. RiMOM has six basic strategies: edit-distance based strategy, statistical-learning based strategy, dictionary based strategy, and three similarity-propagation based strategies. Each strategy is defined based on one kind of ontological-information or approach. The proposed strategy selection approach is used to determine which strategies will be used in the alignment task. We conducted experiments on the data sets of OAEI’2006. Experimental results indicate that our proposed approach performs significantly better than most of the participants and is comparable with COMA++ and Falcon-AO on the benchmark data set.
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