Informational modeling

Informative modeling is an interdisciplinary methodological approach to linking information technologies with architectural analysis and modeling (at various scales, from architectural elements to buildings and structures). Informative modellings to improve the way information and evidences about how architectural objects evolved through time can be visually displayed.

Informative modeling, and the use of theoretical and temporal models. As a consequence, in the architectural modeling of a realistic representation of objects is considered as an end, in the informative modeling methodology the representation of architectural objects is used as a support for information and visualization , reasoning and cognition . realism.

Abstraction (the infovis legacy) and figurative (the architectural representation legacy) are integrated as alternative / mixable modes of representation, partial Allowing knowledge to be Communicated and major concepts in historic sciences Such As data uncertainty to be conveyed Graphically.

Informative modeling puts the data about evolutions of architectural artifacts first, and Provides rules for outputting 2D / 3D graphics Thought To Become sustainable investigation and visualization tools (knowledge and discovery tools, as J.Bertin says it) Striving for the readability of a dynamic Geographical map. Examples of such rules are the accessibility of the underlying documentary justification (archive, research material, etc.), information credibility assessment, visual underlining of lacking information, relationship to an exogenous theoretical model of architectural elements, dynamic visualization, research process progress assessment, etc. .

Informative modeling HAS roots in architectural modeling, Category: 3D imaging , Category: 3D computer graphics , Georeference , database , scientific modeling , scientific visualization , knowledge visualization , knowledge management , information retrieval , Science Information , Computer graphics , graphics information , and intersects methods And issues stemming from these disciplines.


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  • JUCS – Journal of Computational Biology and Computational Biology – Proceedings I-Know 06 International Conference on Knowledge Management – Graz – Austria September 2006.
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