Product entity resolution is an important part of online product search, where product entities coming from different websites need to be aggregated in the search results. In this paper, we propose an approach to product entity resolution using the descriptive power of an ontology. In our algorithm, we use similarity measures that are defined specifically for each type of product feature and learn the feature weights by means of a genetic algorithm. In the evaluation of our algorithm, we obtain
-measures of 59% and 72% for two product classes that we consider. The obtained results are significantly better than those obtained from a state-of-the-art product entity resolution algorithm.
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