Abstract
Representation of spatial information is very important in architecture. Information of a design may be organized as the objects and relations between them. Besides the limitation of those techniques, essentially they are problem specific, the main inefficiency of those methods is that the hierarchical nature of architectural information cannot be represented by them. To combat the inefficiency they have to handle information in a hierarchical manner. In such a representation system not only we can decompose information into smaller pieces also we can focus on the required parts of the problem without involving with many detailed unnecessary information. Also the implicit information in design specifications that is vital must be extracted. Without such information the generated solutions will not be so realistic. The extracted information is essential for hierarchical abstraction of the given design problem. A technique namely the Galois lattice, as a mathematical model, has been used to construct a hierarchical representation scheme using the design specification and to externalize the hidden information in that specification.
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© 1999 Springer-Verlag Berlin Heidelberg
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Chitchian, D., Sariyildiz, S., Koppelaar, H. (1999). Architectural Knowledge Representation Using the Galois Lattice Technique. In: Imam, I., Kodratoff, Y., El-Dessouki, A., Ali, M. (eds) Multiple Approaches to Intelligent Systems. IEA/AIE 1999. Lecture Notes in Computer Science(), vol 1611. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-48765-4_77
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DOI: https://doi.org/10.1007/978-3-540-48765-4_77
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