P2P query reformulation over both-as-view data transformation rules

Authors:
Peter Mcbrien;Alexandra Poulovassilis
Affiliations:
Department of Computing, Imperial College London;School of Computer Science and Information Systems, Birkbeck College, Univ. of London
Venue:
DBISP2P'05/06 Proceedings of the 2005/2006 international conference on Databases, information systems, and peer-to-peer computing
Year:
2005

Citing 11
Cited 6

Comprehension syntax

ACM SIGMOD Record
Answering recursive queries using views

PODS '97 Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Navigational plans for data integration

AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Data integration: a theoretical perspective

Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Query Folding

ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
Querying Heterogeneous Information Sources Using Source Descriptions

VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
A survey of approaches to automatic schema matching

The VLDB Journal — The International Journal on Very Large Data Bases
Piazza: data management infrastructure for semantic web applications

WWW '03 Proceedings of the 12th international conference on World Wide Web
Logical foundations of peer-to-peer data integration

PODS '04 Proceedings of the twenty-third ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Queries and updates in the coDB peer to peer database system

VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Information integration in schema-based peer-to-peer networks

CAiSE'03 Proceedings of the 15th international conference on Advanced information systems engineering

Update exchange with mappings and provenance

VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Bioinformatics service reconciliation by heterogeneous schema transformation

DILS'07 Proceedings of the 4th international conference on Data integration in the life sciences
Query performance evaluation of an architecture for fine-grained integration of heterogeneous grid data sources

Future Generation Computer Systems
Utilising the MISM model independent schema management platform for query evaluation

BNCOD'11 Proceedings of the 28th British national conference on Advances in databases
DSToolkit: an architecture for flexible dataspace management

Transactions on Large-Scale Data- and Knowledge-Centered Systems V
Collaborative data sharing via update exchange and provenance

ACM Transactions on Database Systems (TODS)

Quantified Score

Hi-index	0.00

Visualization

Abstract

The both-as-view (BAV) approach to data integration has the advantage of specifying mappings between schemas in a bidirectional manner, so that once a BAV mapping has been established between two schemas, queries may be exchanged in either direction between the schemas. In this paper we discuss the reformulation of queries over BAV transformation pathways, and demonstrate the use of this reformulation in two modes of query processing. In the first mode, public schemas are shared between peers and queries posed on the public schema can be reformulated into queries over any data sources that have been mapped to the public schema. In the second, queries are posed on the schema of a data source, and are reformulated into queries on another data source via any public schema to which both data sources have been mapped.