CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures
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From the viewpoint of content-based retrieval, the researcher analyzes spatial information of a floor plan, with a focus on the apartment unit floor plan common in Korea. Then the metadata items are extracted in a structured manner. To manage the items efficiently, the researcher develops a data model for spatial information according to the concept of the “Structured Floor Plan”. The main object of content to retrieve is a spatial network that consists of nodes of spaces and their linkages. There are two ways to organize the metadata: the traditional index files and the RDF (Resource Description Framework). While the index files are still efficient with computability, the RDF applies greater options to retrieve, such as fuzzy predicates, semantic predicates, and so on. To exploit the metadata, this research shows several possibilities of query operations that present a set of sample queries about L-DK(Living room – Dining room – Kitchen). Implementation of the prototype system is divided into three parts: 1) a modeling module using Vitruvius; 2) an indexing module using MS SQL Server? 2000 in conjunction XML; and 3) a browsing module using the SpaceScope browser.
The future works may consider XML-based databases and a knowledge based query language, such as RQL/XQL, working on such databases. The more specific domain knowledge is involved, the more practical systems would be. Even in architecture, there may be a diverse range of domain knowledge, such as design, building performance, facility management, energy management, post occupied evaluation, historical research, and so on. Also the issue of interface should be investigated in depth, so that it will be adequate to the needs of the architectural field.
This thesis focuses on aspects of the spatial visual design of abstract information presented as computer-generated. dynamic and interactive images accessible through flat displays. The process of spatial visualization design is shaped by various factors including interactive, perceptual, navigational as well as organizational and metaphorical aspects and as such requires an interdisciplinary approach. Therefore, in researching spatial visual design. it is crucial to use methods facilitating the process of sharing competencies among different disciplines.
In this thesis, we introduce a new classification model accommodating features important in designing effective spatial visualizations of abstract information. To enhance the effectiveness of spatial visualization, this model offers a holistic approach in classifiying spatial Visualization features. As part of the model, we analyze properties already used in architectural representation and other visual design disciplines for spatial presentations as well as investigate their potential usage in digital domains of abstract information. The process of spatial visualization In the digital environment is mostly based on the practical experience of a designer. and therefore the majority of spatial design know-how is heuristic in nature. Based on this assumption, we present a set of guidelines addressing the general problem of spatial design.
The Spalial Design Classificahon Model, Visual Spatial Properties and Spatial Design Guidelines build an extendable infrastructure which becomes a first step towards augmenting the quality of spatial information design- We propose to use this infrastructure as a general blueprint for structuring the exchange of expertise in Interdisciplinary problem-solving processes.
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