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The Classification and Solution Strategy of Conflicts in Deep Web Query Interface Integration

Authors: Anxiang Ma; Daming Sun; Bin Zhang; Kening Gao; Yin Zhang;

The Classification and Solution Strategy of Conflicts in Deep Web Query Interface Integration

Abstract

The query interface integration is the key technology in realization of Deep Web information integration. However the bottleneck problem is the solution of differences and conflicts of query interfaces. TheThe most existed query interface integration work mainly focused on the conflict of attribute labels and attribute value, but there are many kinds of conflicts between interfaces because of the special nature of interfaces, such as attribute set structure conflict, attribute requirement conflict and so on. Ignore these conflicts will lead to incomplete and inaccurate integrated interface. Based on the query interface features, this paper presents the formal definition of interface, gives the framework for classification of the conflicts in query interface integration, and for each kind of conflict there is a corresponding solution strategy that lays a good foundation for interface integration.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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