NDLI: A Method of Schema Matching Based on Top-K Mapping and User Feedback

Content Provider	IEEE Xplore Digital Library
Author	Junren Wang Qingzhong Li Yongquan Dong
Copyright Year	2009
Abstract	The matching has been recognized as a plausible solution for the semantic heterogeneity problem in many traditional applications, such as schema integration, ontology integration, data warehouses, data integration, and so on. In this paper, we introduce a new method of Schema Matching based on top-k schema mapping and user feedback. The essence of this method is the simultaneous generation of K best schema mappings and combination with user feedback to identify useful mappings. First it calculates the similarity values between two schema attributes, and then uses these attributes similarity values to generate K best schema mappings. After that, in an iterative process, the method could select an attribute whose entropy is the largest to return to user for making deciding. The user feedback could be used in the next iteration. Experiments show that our method could achieve a higher precision and recall.
Starting Page	751
Ending Page	756
File Size	502648
Page Count	6
File Format	PDF
ISBN	9781424452095
DOI	10.1109/NCM.2009.55
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-25
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data warehouses Ontologies Top-k mapping Entropy Application software Computer science Schema matching Simultaneous localization and mapping Databases Query processing Feedback User feedback Iterative methods
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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