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Supporting data integration tasks with semi-automatic ontology construction

Author
Touma, R.; Romero, O.; Jovanovic, P.
Type of activity
Presentation of work at congresses
Name of edition
ACM Eighteenth International Workshop on Data Warehousing and OLAP
Date of publication
2015
Presentation's date
2015-10
Book of congress proceedings
Proceedings of the ACM Eighteenth International Workshop on Data Warehousing and OLAP, DOLAP 2015, Melbourne, VIC, Australia, October 19-23, 2015
First page
89
Last page
98
Publisher
Association for Computing Machinery (ACM)
DOI
https://doi.org/10.1145/2811222.2811228 Open in new window
Repository
http://hdl.handle.net/2117/82774 Open in new window
URL
http://doi.acm.org/10.1145/2811222.2811228 Open in new window
Abstract
Data integration aims to facilitate the exploitation of heterogeneous data by providing the user with a unified view of data residing in different sources. Currently, ontologies are commonly used to represent this unified view in terms of a global target schema due to their flexibility and expressiveness. However, most approaches still assume a predefined target schema and focus on generating the mappings between this schema and the sources. In this paper, we propose a solution that supports dat...
Citation
Touma, R., Romero, O., Jovanovic, P. Supporting data integration tasks with semi-automatic ontology construction. A: International Workshop On Data Warehousing and OLAP. "Proceedings of the ACM Eighteenth International Workshop on Data Warehousing and OLAP, DOLAP 2015, Melbourne, VIC, Australia, October 19-23, 2015". Melbourne: Association for Computing Machinery (ACM), 2015, p. 89-98.
Keywords
Data management systems, Data warehouses, Database design and models, Decision support systems, Information integration, Information systems, Information systems applications
Group of research
DTIM - Database Technologies and lnformation Management Group
IMP - Information Modelling and Processing
inLab FIB

Participants