DocumentCode :
3337683
Title :
Enabling Cross Constraint Satisfaction in RDF-Based Heterogeneous Database Integration
Author :
Martin, Larry K. ; Anguita, Alberto ; Jimenez, Alvaro ; Crespo, José
Author_Institution :
Polytech. Univ. of Madrid, Boadilla del Monte
Volume :
2
fYear :
2008
fDate :
3-5 Nov. 2008
Firstpage :
341
Lastpage :
348
Abstract :
The problem of database integration has been widely tackled through different approaches. While data transformation based systems, such as Data Warehouses, reached the acceptation of the industry during the 80´s, in the last decade query translation based approaches have gained popularity given their adequacy to dynamic domains. While the former are based on gathering actual data in central repositories, the latter allow data to remain in the original databases. There still exist several issues to be tackled in query translation, mainly if no ad-hoc schema is described, such as problems with scalability and query processing. In this paper we describe a complete database integration and semantic mediation approach, borrowing techniques from both data transformation and local as view data translation methods, and addressing the cross referencing problem. This work has been carried out in the framework of ACGT (Advancing Clinico-Genomic Trials on Cancer) project, supported by the European Commission.
Keywords :
distributed databases; query processing; cross constraint satisfaction; data transformation based systems; data translation methods; heterogeneous database integration; query processing; query translation; semantic mediation approach; Artificial intelligence; Cancer; Data warehouses; Databases; Information retrieval; Mediation; Ontologies; Query processing; Resource description framework; Scalability; Database integration; cross constraints; ontologies; query processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence, 2008. ICTAI '08. 20th IEEE International Conference on
Conference_Location :
Dayton, OH
ISSN :
1082-3409
Print_ISBN :
978-0-7695-3440-4
Type :
conf
DOI :
10.1109/ICTAI.2008.67
Filename :
4669794
Link To Document :
بازگشت