Abstract
Ontology of a scientific field typically includes a taxonomy that breaks up the field into several topics. The break-up is present in the organisation of information in books, libraries and on the Web. An on-line database of papers related to CAAD called CUMINCAD was created and it includes over 3000 papers with abstracts. They are available through the search interface - one knows an author or a keyword and can find the papers where such keyword or author’s name appears. Alternative interface would be through browsing papers topic by topic. The papers, however, are not categorised. In this paper, we present the efforts to use the machine learning and data mining techniques to automatically group the papers into clusters and create a set of keywords that would label a cluster. The hypothesis was that an algorithm would create clusters of papers automatically and that the clusters would be similar to the groupings a human would have made. We investigated several algorithms for doing an analysis like that but were unable to prove the original hypothesis. We conclude that it requires more than objective statistical analysis of the words in abstracts to create an ontology of CAAD.
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References
Brin, S. and Lawrence, P. (1998). The Anatomy of a Large-Scale Hypertextual Web Search Engine, Computer Science Department, Stanford University, Stanford, CA, USA, http://www7.scu.edu.au/prograrnme/fullpapers/1921/coml921.htm (modified 23 March 1998).
Brown, A., Knight, M. and Berridge, P. (Eds.) (1999) Architectural Computing from Turing to 2000 [Conference Proceedings], eCAADe Conference Proceedings / ISBN 0-9523687-5-7 / Liverpool (UK) 15–17 September 1999, 773 p.
Christiansson, P. (1998). Knowledge Nodes, in I. Smith (ed) Artificial Intelligence in Structural Engineering, Springer, Berlin, 197–213.
Hovestadt, Ludger (1993) A4 Digital Building: Extensive Computer Support for Building Design, Construction, and Management, CAAD Futures’ 93 [Conference Proceedings / ISBN 0-444-89922-7] (Pittsburgh / USA), pp. 405–421.
Maher, M.L. and Simoff, S. (1998). Knowledge discovery from multimedia case libraries, in I. Smith (ed) Artificial Intelligence in Structural Engineering, Springer, Berlin, 197–213.
Martens, B. and Turk, Z. (1999) Working Experiences with a Cumulative Index on CAD: “CUMINCAD”, Architectural Computing from Turing to 2000, eCAADe Conference Proceedings / ISBN 0-9523687-5-7, Liverpool, (UK) 15–17 September 1999, pp. 327–333
McCallum, A.K. (1996). “Bow: A toolkit for statistical language modeling, text retrieval, classification and clustering.”, http://www.cs.cmu.edu/~mccallum/bow/~mccallum/bow, 1996.
Mladenic, D. (1999). Text-learning and related intelligent agents, IEEE Expert special issue on Applications of Intelligent Information Retrieval, July–August 1999
Salton, G. (1989). Automatic Text Processing. Addison-Wesley, Reading MA, 1989.
Scott, S. (1998). Feature Engineering for a Symbolic Approach to Text Classification, Ms. Thesis, University of Ottawa Computer Science, 1998.
Seni, D. A. and Hodges, W. (1996). Common grounds and relationships between information technology and philosophy. Association for Information Sciences, America’s Conference 96.2: 398–400.
Turk, Ž. (1999). WODA: A Slim Web Oriented Database, Heterogeneous and Internet Databases, City University of Hong Kong Press, Hong Kong, 1999, ISBN: 962-937-046-8, pg. 95–109.
Tweed, Christopher (1999) Prescribing Designs, Architectural Computing from Turing to 2000, [eCAADe Conference Proceedings / ISBN 0-9523687-5-7] Liverpool (UK) 15–17 September 1999, pp. 51–57.
van Rijsbergen, C.J (1979). Information Retrieval, 2nd ed.. London, Butterworths, 1979.
Willett, P. (1988). Recent Trends in hierarchic document clustering: A critical review. Information Processing and Management, Vol. 24, No. 5, 1988.
Zamir, O., Etzioni, O. (1998). Web Document Clustering: A Feasibility Demonstration (SIGIR 1998).
Zamir, O and Etizioni, O (1999). Grouper: A Dynamic Clustering Interface to Web Search Results, Department of Computer Science and Engineering, University of Washington, Seattle, WA 98195-2350, USA, http://www.cs.washington.edu/research/clustering/research/clustering (modified 09 June 1999).
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Turk, Z., Cerovsek, T., Martens, B. (2001). The Topics of CAAD. In: de Vries, B., van Leeuwen, J., Achten, H. (eds) Computer Aided Architectural Design Futures 2001. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0868-6_41
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DOI: https://doi.org/10.1007/978-94-010-0868-6_41
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-3843-0
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