NDLI: Learning the kernel matrix for XML document clustering

Content Provider	IEEE Xplore Digital Library
Author	Jianwu Yang Cheung, W.K. Xiaoou Chen
Copyright Year	2005
Description	Author affiliation: Inst. of Comput. Sci. & Technol., Peking Univ., Beijing, China (Jianwu Yang)
Abstract	The rapid growth of XML adoption has urged for the need of a proper representation for semi-structured documents, where the document structural information has to be taken into account so as to support more precise document analysis. In this paper, an XML document representation named "structured link vector model" is adopted, with a kernel matrix included for modeling the similarity between XML elements. Our formulation allows individual XML elements to have their own weighted contribution to the overall document similarity while at the same time allows the between-element similarity to be captured. An iterative algorithm is derived to learn the kernel matrix. For performance evaluation, the ACM SIGMOD record dataset as well as the CEDE dataset have been tested. Our proposed method outperforms significantly the traditional vector space model and the edit-distance based methods. In addition, the kernel matrix obtained as a by-product provides knowledge about the conceptual relationship between the XML elements.
Sponsorship	IEEE Comput. Soc. Tech. Comm. on Electron. Commerce (TCEC) Hong Kong Baptist Univ. Nat. ICT Australia Ltd. (NICTA)
Starting Page	353
Ending Page	358
File Size	359869
Page Count	6
File Format	PDF
ISBN	0769522742
DOI	10.1109/EEE.2005.87
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-03-29
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Text analysis Fourier transforms XML Training data Iterative algorithms Kernel Information analysis Testing
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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