Towards scalable data integration under constraints

8 years 5 months ago
Towards scalable data integration under constraints
In this paper we consider the problem of answering queries using views, with or without ontological constraints, which is important for data integration, query optimization, and data warehouses. Our context is data integration, so we search for maximally-contained rewritings. We have produced a very scalable and efficient solution for its simplest form, conjunctive queries and views, and we are working towards the full relational case. When considering constraints, the problem is usually divided in two phases: (1) query expansion, which rewrites queries w.r.t. the intentional knowledge and (2) expanded query reformulation using the views. Relevant algorithms have given little attention to the second phase and have studied a limited form of view definition languages overall (namely, only GAV). By looking at the problem from a graph perspective we are able to gain a better insight and develop designs which compactly represent common patterns in the source descriptions, and (optionally...
George Konstantinidis, José Luis Ambite
Added 29 Sep 2012
Updated 29 Sep 2012
Type Journal
Year 2012
Where EDBT
Authors George Konstantinidis, José Luis Ambite
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