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Conference Proceedings distributing knowledge in building Title: Identification and Classification of A/E/C Web
 

Summary: Conference Proceedings distributing knowledge in building
Theme:
Title: Identification and Classification of A/E/C Web
Sites and Pages
Author(s): Ye Chen and Robert Amor
Institution(s): University of Auckland, Auckland, New Zealand
E-mail(s): trebor@cs.auckland.ac.nz
Abstract: Current search engines are not well suited to serving the needs of A/E/C
professionals. The general ones do not know about the vocabulary of the domain
(e.g., so 'window' is a meaningless word) or rely on human classification (which
severely limits the percentage of sites which are indexed). Domain specific
databases and hot lists tend to be the only other option. While these have very good
information they reflect a very small proportion of what is on the web.
This paper looks at a system for automated classification of web sites and pages in
the A/E/C domain. In particular, we concentrate on web sites and pages in New
Zealand, and use the common classification system for the New Zealand
construction industry (CBI). For this particular problem it is clear that no single
approach to classifying web information gives a perfect answer. We therefore
combine several approaches for automated classification, including:
Identifying web sites that are already classified by other Internet portals

  

Source: Amor, Robert - Department of Computer Science, University of Auckland

 

Collections: Computer Technologies and Information Sciences