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Optimizing query rewriting for multiple queries

Optimizing query rewriting for multiple queries
Optimizing query rewriting for multiple queries
We present an scalable algorithm for answering multiple conjunctive queries using views. This is an important problem in query optimization, data integration and ontology-based data access. Since rewriting one conjunctive query using views is an NP-hard problem, we develop an approach where answering n queries takes less than n times the cost of answering one query, by compactly representing and indexing common patterns in the input queries and the views. Our initial experimental results show a promising speed up.
1-6
Konstantinidis, George
f174fb99-8434-4485-a7e4-bee0fef39b42
Ambite, Jose Luis
0a7ecac4-d15d-47c9-ac49-c06d8525f9d7
Konstantinidis, George
f174fb99-8434-4485-a7e4-bee0fef39b42
Ambite, Jose Luis
0a7ecac4-d15d-47c9-ac49-c06d8525f9d7

Konstantinidis, George and Ambite, Jose Luis (2012) Optimizing query rewriting for multiple queries. IIWeb '12: Proceedings of the Ninth International Workshop on Information Integration on the Web, , Scottsdale, United States. pp. 1-6 .

Record type: Conference or Workshop Item (Paper)

Abstract

We present an scalable algorithm for answering multiple conjunctive queries using views. This is an important problem in query optimization, data integration and ontology-based data access. Since rewriting one conjunctive query using views is an NP-hard problem, we develop an approach where answering n queries takes less than n times the cost of answering one query, by compactly representing and indexing common patterns in the input queries and the views. Our initial experimental results show a promising speed up.

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More information

Published date: 2012
Venue - Dates: IIWeb '12: Proceedings of the Ninth International Workshop on Information Integration on the Web, , Scottsdale, United States, 2012-05-20

Identifiers

Local EPrints ID: 504280
URI: http://eprints.soton.ac.uk/id/eprint/504280
PURE UUID: 0e7b9fb4-7d1d-4a4b-baad-074e323901d4

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Date deposited: 02 Sep 2025 17:08
Last modified: 02 Sep 2025 17:08

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Contributors

Author: George Konstantinidis
Author: Jose Luis Ambite

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