Inductive Logic Programming in Databases: from Datalog to DL+log

Details Inductive Logic Programming in Databases: from Datalog to DL+log Inductive Logic Programming in Databases: from Datalog to DL+log

2010-03-12

arxiv.org/abs/1003.2586v1

Computer Science

Logic in Computer Science

30 pages, 3 figures, 2 tables.

Scientific paper

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 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. Keywords: Inductive Logic Programming, Relational Databases, Ontologies, Description Logics, Hybrid Knowledge Representation and Reasoning Systems. Note: To appear in Theory and Practice of Logic Programming (TPLP).

Affiliated with

Also associated with

No associations

Rating

Inductive Logic Programming in Databases: from Datalog to DL+log does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Inductive Logic Programming in Databases: from Datalog to DL+log, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Inductive Logic Programming in Databases: from Datalog to DL+log will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-129454