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Collaborative Schema Matching Reconciliation
Hung Quoc Viet Nguyen1, Xuan Hoai Luong1, Zoltán Miklós2, Tho Thanh Quan3, and Karl Aberer1
1École Polytechnique Fédérale de Lausanne, Switzerland
quocviethung.nguyen@epfl.ch
xuan.luong@epfl.ch
karl.aberer@epfl.ch
2Université de Rennes 1, France
zoltan.miklos@univ-rennes1.fr
3Ho Chi Minh City University of Technology, Vietnam
qttho@cse.hcmut.edu.vn
Abstract. Schema matching is the process of establishing correspondences between the attributes of database schemas for data integration purpose. Although several schema matching tools have been developed, their results are often incomplete or erroneous. To obtain correct attribute correspondences, in practice, human experts edit the mapping results and fix the mapping problems. As the scale and complexity of data integration tasks have increased dramatically in recent years, the reconciliation phase becomes more and more a bottleneck. Moreover, one often needs to establish the correspondences in not only between two but a network of schemas simultaneously. In such reconciliation settings, it is desirable to involve several experts. In this paper, we propose a tool that supports a group of experts to collaboratively reconcile a set of matched correspondences. The experts might have conflicting views whether a given correspondence is correct or not. As one expects global consistency conditions in the network, the conflict resolution might require discussion and negotiation among the experts to resolve such disagreements. We have developed techniques and a tool that allow approaching this reconciliation phase in a systematic way. We represent the expert’s views as arguments to enable formal reasoning on the assertions of the experts. We detect complex dependencies in their arguments, guide and present them the possible consequences of their decisions. These techniques thus can greatly help them to overlook the complex cases and work more effectively.
LNCS 8185, p. 222 ff.
lncs@springer.com
© Springer-Verlag Berlin Heidelberg 2013