Francesco Loprete

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Using our multiuser model, a community of users provides feedback in a pay-as-you-go fashion to the ontology matching process by validating the mappings found by automatic methods, with the following advantages over having a single user: the e↵ort required from each user is reduced, user errors are corrected, and consensus is reached. We propose strategies(More)
Using a pay-as-you-go strategy, we allow for a community of users to validate or invalidate mappings obtained by an automatic ontology matching system using consensus for each mapping. The ultimate objectives are effectiveness—improving the quality of the obtained alignment (set of mappings) measured in terms of F-measure as a function of the number of user(More)
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