Inductive Logic Programming in Databases: from Datalog to DL+log
Abstract
In this paper we address an issue that has been brought to the attention of the database community with the advent of the Semantic Web, i.e., the issue of how ontologies (and semantics conveyed by them) can help solving typical database problems, through a better understanding of Knowledge Representation (KR) aspects related to databases. In particular, we investigate this issue from the ILP perspective by considering two database problems, (i) the definition of views and (ii) the definition of constraints, for a database whose schema is represented also by means of an ontology. Both can be reformulated as ILP problems and can benefit from the expressive and deductive power of the KR framework DL+LOG. We illustrate the application scenarios by means of examples.
Autore Pugliese
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LISI F.A.
Titolo volume/Rivista
Non Disponibile
Anno di pubblicazione
2010
ISSN
1471-0684
ISBN
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Numero di citazioni Wos
5
Ultimo Aggiornamento Citazioni
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Numero di citazioni Scopus
14
Ultimo Aggiornamento Citazioni
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Settori ERC
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Codici ASJC
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