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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A highly unusual feature of PHIDIAS II is that it implements all of its functions using only hypermedia mechanisms. Complex vector graphic drawings and objects are represented as composite hypermedia nodes. Inference and critiquing are implemented through use of what are known as virtual structures [Halasz 1988], including virtual links and virtual nodes. These nodes and links are dynamic (computed) rather than static (constant). They are defined as expressions in the same language used for queries and are computed at display time. The implementation of different kinds of functions using a common set of mechanisms makes it easy to use them in combination, thus further augmenting the system's functionality.
PHIDIAS supports design by informing architects as they develop a solution's form. The idea is thus not to make the design process faster or cheaper but rather to improve the quality of the things designed. We believe that architects can create better buildings for their users if they have better information. This includes information about buildings of given types, user populations, historical and modern precedents, local site and climate conditions, the urban and natural context and its historical development, as well as local, state and federal regulations.
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.
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