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Essay text:
Most descriptions and
categorization schemes of heterogeneities were given in languages
specific to different research groups. We believe that efforts invested
in a thorough research of heterogeneity can ultimately benefit
both data integration and data mining communities. In this paper
we give a brief survey of various ways to categorize heterogeneity
in the literature, and then performed a case study on detecting
a specific class of heterogeneity in the setting of Semantic Web
ontologies–the one that can be discovered by only data-driven approaches.
Finally we propose an automatic ontology matching system
that can detect this heterogeneity by using redescription mining
techniques...

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Common topics in this essay:
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