The paper discusses geometric-content-based search and classification techniques proposed in order to support collaborative, multi-disciplinary work on building design projects which utilize three-dimensional digital models (e.g. BIM, CAD, CAE, etc.) The rationale for employing such techniques - as an alternative to conventional assigned-attribute-based ones - is presented, based on observed difficulties experienced by users of digital models prepared by parties other than themselves. Also introduced are proposed methods drawing on the field of visual analytics for displaying the results of search and classification operations by augmenting the conventional system of views and tabular information in order to enable users to obtain greater insight into the contents of complex models. Included is a description of preliminary tests undertaken to assess the validity of some of these proposals, and results showing that model users are able to apply the proposed methods for retrieval and organization of information in models, thus overcoming some language-based and other common obstacles typically encountered with exchanged models in collaborative design processes.
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