NDLI: Clustering Algorithms and Latent Semantic Indexing to Identify Similar Pages in Web Applications

Content Provider	IEEE Xplore Digital Library
Author	De Lucia, A. Risi, M. Tortora, G. Scanniello, G.
Copyright Year	2007
Description	Author affiliation: Univ. of Salerno, Fisciano (De Lucia, A.; Risi, M.; Tortora, G.)
Abstract	In this paper, we analyze some clustering algorithms that have been widely employed in the past to support the comprehension of Web applications. To this end, we have defined an approach to identify static pages that are duplicated or cloned at the content level. This approach is based on a process that first computes the dissimilarity between Web pages using latent semantic indexing, a well known information retrieval technique, and then groups similar pages using clustering algorithms. We consider five instances of this process, each based on three variants of the agglomerative hierarchical clustering algorithm, a divisive clustering algorithm, k-means partitional clustering algorithm, and a widely employed partitional competitive clustering algorithm, namely Winner Takes All. In order to assess the proposed approach, we have used the static pages of three Web applications and one static Web site.
Starting Page	65
Ending Page	72
File Size	810948
Page Count	8
File Format	PDF
ISBN	9781424414505
DOI	10.1109/WSE.2007.4380246
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-05
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Clustering algorithms Indexing Partitioning algorithms Application software Navigation Web pages Information retrieval Software systems Algorithm design and analysis Time to market
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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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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