Web-Site Boundary Detection

Defining the boundaries of a web-site, for (say) archiving or information retrieval purposes, is an important but complicated task. In this paper a web-page clustering approach to boundary detection is suggested. The principal issue is feature selection, hampered by the observation that there is no clear understanding of what a web-site is. This paper proposes a definition of a web-site, founded on the principle of user intention, directed at the boundary detection problem; and then reports on a sequence of experiments, using a number of clustering techniques, and a wide range of features and combinations of features to identify web-site boundaries. The preliminary results reported seem to indicate that, in general, a combination of features produces the most appropriate result.

• Type: Conference
• Year: 2010
• Where: INCDM
• Authors: Ayesh Alshukri, Frans Coenen, Michele Zito
• Keywords: Boundary Detection, Boundary Detection Problem, Data Mining, INCDM 2010, Web-page Clustering Approach