Title
Data Integration Using ID-Logic
Abstract
ID-Logic is a knowledge representation language that extends first-order logic with non-monotone inductive definitions. This paper introduces an ID-Logic based framework for database schema integration. It allows us to to uniformly represent and reason with independent source databases that contain information about a common domain, but may have different schemas. The ID-Logic theories that are obtained are called mediator-based systems. We show that these theories properly capture the common methods for data integration (i.e., global-as view and local-as-view with either exact or partial definitions), and apply on them a robust abductive inference technique for query answering.
Year
DOI
Venue
2004
10.1007/978-3-540-25975-6_7
ADVANCED INFORMATION SYSTEMS ENGINEERING, PROCEEDINGS
Keywords
Field
DocType
knowledge representation,data integrity,first order logic
Data integration,Data mining,Information integration,Knowledge representation and reasoning,Computer science,Description logic,Database schema,First-order logic,Abductive reasoning,Logic programming
Conference
Volume
ISSN
Citations 
3084
0067-8856
9
PageRank 
References 
Authors
0.46
29
5
Name
Order
Citations
PageRank
Bert Van Nuffelen118912.33
Álvaro Cortés-Calabuig2674.40
Marc Denecker31626106.40
Ofer Arieli470551.54
Maurice Bruynooghe52767226.05