Since their definition in 1992, Least Common Subsumers (LCSs) have been identified as services supporting learning by examples. Nowadays, the Web of Data offers a hypothetically unlimited dataset of interlinked and machine-understandable examples modeled as RDF resources. Such an open and continuously evolving information source is then really worth investigation to learn significant facts. In order to support such a process, in this paper we give up to the subsumption minimality requirement of LCSs to meet the peculiarities of the dataset at hand and define Common Subsumers (CSs). We also propose an anytime algorithm to find CSs of pairs of RDF resources, according to a selection of such resources, which ensures computability. © Springer International Publishing Switzerland 2013.

Common subsumers in RDF / Colucci, Simona; Donini, Francesco M.; DI SCIASCIO, Eugenio. - 8249:(2013), pp. 348-359. (Intervento presentato al convegno 13th International Conference of the Italian Association for Artificial Intelligence, AI*IA 2013 tenutosi a Torino, Italy nel December 4-6, 2013) [10.1007/978-3-319-03524-6_30].

Common subsumers in RDF

COLUCCI, Simona;DI SCIASCIO, Eugenio
2013-01-01

Abstract

Since their definition in 1992, Least Common Subsumers (LCSs) have been identified as services supporting learning by examples. Nowadays, the Web of Data offers a hypothetically unlimited dataset of interlinked and machine-understandable examples modeled as RDF resources. Such an open and continuously evolving information source is then really worth investigation to learn significant facts. In order to support such a process, in this paper we give up to the subsumption minimality requirement of LCSs to meet the peculiarities of the dataset at hand and define Common Subsumers (CSs). We also propose an anytime algorithm to find CSs of pairs of RDF resources, according to a selection of such resources, which ensures computability. © Springer International Publishing Switzerland 2013.
2013
13th International Conference of the Italian Association for Artificial Intelligence, AI*IA 2013
978-3-319-03523-9
Common subsumers in RDF / Colucci, Simona; Donini, Francesco M.; DI SCIASCIO, Eugenio. - 8249:(2013), pp. 348-359. (Intervento presentato al convegno 13th International Conference of the Italian Association for Artificial Intelligence, AI*IA 2013 tenutosi a Torino, Italy nel December 4-6, 2013) [10.1007/978-3-319-03524-6_30].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/103856
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