Document Clustering: Applications in a Collaborative Digital Library

摘要

This paper introduces a document clustering method within a commercial document repository, FileShare®. FileShare® is a commercial collaborative digital library offering facilities for sharing and accessing documents over a simple Internet browser (e.g. Microsoft® Internet Explorer®, Netscape® or Opera®) 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® repository. The proposed algorithm is unsupervised, and has shown very high accuracy in a typical experimental setup.