NDLI: Clustering documents in a web directory

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Clustering documents in a web directory

Content Provider	ACM Digital Library
Author	Avesani, Paolo Adami, Giordano Sona, Diego
Abstract	Hierarchical categorization of documents is a task receiving growing interest due to the widespread proliferation of topic hierarchies for text documents. The worst problem of hierarchical supervised classifiers is their high demand in terms of labeled examples, whose amount is related to the number of topics in the taxonomy. Hence, bootstrapping a huge hierarchy with a proper set of labeled examples is a critical issue. In this paper, we propose some solutions for the bootstrapping problem, implicitly or explicitly using a taxonomy definition: a baseline approach where documents are classified according to class labels, and two clustering approaches, where training is constrained by the a-priori knowledge of the taxonomy structure, both at terminological and topological level. In particular, we propose the TaxSOM model, that clusters a set of documents in a predefined hierarchy of classes, directly exploiting the knowledge of both their topological organization and their lexical description. Experimental evaluation was performed on a set of taxonomies taken from the Google Web directory.
Starting Page	66
Ending Page	73
Page Count	8
File Format	PDF
ISBN	1581137257
DOI	10.1145/956699.956715
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2003-11-07
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Taxsom K-means Taxonomy bootstrapping process Text categorization Constrained clustering Knowledge management Digital libraries Web directories
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
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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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