@inproceedings{be3a18347c744015bfd64b0cad2984d7,
title = "A framework for semi-automatic data integration",
abstract = "Recent studies on Business Intelligence highlights the need of on-time, trustable and sound data access systems. Moreover the application of these systems in a flexible and dynamic environment requires for an approach based on automatic procedures that can provide reliable results. A crucial factor for any automatic data integration system is the matching process. Different categories of matching operators carry different semantics. For this reason combining them in a single algorithm is a non trivial process that have to take into account a variety of options. This paper proposes a solution based on a categorization of matching operators that allow to group similar attributes on a semantic rich form. This way we define all the information need in order to create a mapping. Then Mapping Generation is activated only on those set of elements that can be queried without violating any integrity constraints on data.",
author = "Paolo Ceravolo and Zhan Cui and Ernesto Damiani and Alex Gusmini and Marcello Leida",
year = "2009",
doi = "10.1007/978-3-642-00670-8_4",
language = "British English",
isbn = "9783642006692",
series = "Lecture Notes in Business Information Processing",
publisher = "Springer Verlag",
pages = "46--60",
booktitle = "Enterprise Information Systems",
address = "Germany",
note = "10th International Conference on Enterprise Information Systems, ICEIS 2008 ; Conference date: 12-06-2008 Through 16-06-2008",
}