Answering Ontological Ranking Queries based on Subjective Reports
Thomas Lukasiewicz‚ Maria Vanina Martinez‚ Cristian Molinaro‚ Livia Predoiu and Gerardo I. Simari
The use of preferences in query answering, both in traditional databases and in ontology-based data access, has recently received much attention, due to its many real-world applications. In this paper, we tackle the problem of query answering in Datalog+/− ontologies subject to the querying user's preferences and a collection of subjective reports (i.e., scores for a list of features) of other users, who have their own preferences as well. All these pieces of information are combined to rank the query results. We first propose a basic approach to deal with Datalog+/− ontologies without directly addressing query answering. Then, we extend our approach to deal with query answering using provenance information.