Document clustering: applications in a collaborative digital library

Fuad Rahman; Aman Kumar; Yuilya Tarnikova; Hassan Alam

doi:10.1117/12.650161

16 January 2006 Document clustering: applications in a collaborative digital library

Fuad Rahman, Aman Kumar, Yuilya Tarnikova, Hassan Alam

Proceedings Volume 6067, Document Recognition and Retrieval XIII; 60670K (2006) https://doi.org/10.1117/12.650161
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

Abstract

This paper introduces a document clustering method within a commercial document repository, FileShare^(R). FileShare^(R) is a commercial collaborative digital library offering facilities for sharing and accessing documents over a simple Internet browser (e.g. Microsoft^(R) Internet Explorer^(R), Netscape^(R) or Opera^(R)) within groups of people working on common projects. As the number of documents increases within a digital library, displaying these documents in this environment poses a huge challenge. This paper proposes a document clustering method that uses a modified version of the traditional K-Means algorithm to categorize documents by their themes using lexical chaining within the FileShare^(R) repository. The proposed algorithm is unsupervised, and has shown very high accuracy in a typical experimental setup.

Citation Download Citation

Fuad Rahman, Aman Kumar, Yuilya Tarnikova, and Hassan Alam "Document clustering: applications in a collaborative digital library", Proc. SPIE 6067, Document Recognition and Retrieval XIII, 60670K (16 January 2006); https://doi.org/10.1117/12.650161

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