NDLI: Mining data records based on ontology evolution for deep web

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2010 2nd International Conference on Computer Engineering and Technology

Volume 7 - 2010

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Mining data records based on ontology evolution for deep web

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Volume 3 - 2010

Volume 2 - 2010

Volume 1 - 2010

2009 International Conference on Computer Engineering and Technology

Mining data records based on ontology evolution for deep web

Content Provider	IEEE Xplore Digital Library
Author	Wen Zhang Kerui Chen Fan Zhang
Copyright Year	2010
Description	Author affiliation: College of Computer Science and Technology, Jilin University, Changchun 130012, China (Kerui Chen) \|\| College of Information Engineering, Zhongzhou University, 450044, China (Wen Zhang; Fan Zhang)
Abstract	Currently, the research for the extraction of information in deep web is pretty active. Although many researchers already adopted ontology in the data extraction, many problems still exist. This paper proposed an ontology evolution based method for mining in the data area. Not only will this method solve the problem when the website only consists of one record, but it also can identify he meaning of data that has no labels. With the evolution of ontology, the extraction of data records is being more accurate. Experiments indicate that this method could improve the accuracy and efficiency of data extraction
File Size	159461
File Format	PDF
ISBN	9781424463473
e-ISBN	9781424463497
DOI	10.1109/ICCET.2010.5485649
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Knowledge engineering ontology evolution data records Educational technology Ontologies Educational institutions Data engineering Entropy Random processes Data mining maximum entropy model Computer science component Web pages deep web
Content Type	Text
Resource Type	Article

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