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Construction concept details comprise their geometric features, components or parts, additional or assembled items, and functional characteristics. The concept conditions are the situational conditions or state of affairs, which embrace the concept location, position, site, place, and settings; the status condition, which is the stage of the concept (e.g., completed, installed, delayed), and its relations with other products or context descriptions (e.g,. set by, part of). The details and conditions are minimal ontological definitions of the concept that can be formalized by including logical axioms that use the syntax and vocabulary of a language, and additional semantic relations, which help describe several states of affairs. However, the representations are semantically poor which leads to deficient and accurate interpretations. Furthermore, intentionality is not semantically articulated with the representations. To respond to this need, this research proposes intelligent geometric topologies for construction (i-Con). i-Cons are images that have the virtue of being a symbolic vocabulary. These images have an established use, defined according to qualitative spatial relations, parenthood, and connectedness. Through the use of a mediating technology platform (e.g., a computer graphic application), i-Cons are linked to the virtual representations of the components to assist the user in semantically interpreting them and in efficiently arriving at more accurate conclusions.
Construction concept details comprise their geometric features, components or parts, additional or assembled items, and functional characteristics. The concept conditions are the situational conditions or state of affairs, which embrace the concept location, position, site, place, and settings; the status condition, which is the stage of the concept (e.g., completed, installed, delayed), and its relations with other products or context descriptions (e.g,. set by, part of). The details and conditions are minimal ontological definitions of the concept that can be formalized by including logical axioms that use the syntax and vocabulary of a language, and additional semantic relations, which help describe several states of affairs. However, the representations are semantically poor which leads to deficient and accurate interpretations. Furthermore, intentionality is not semantically articulated with the representations. To respond to this need, this research proposes intelligent geometric topologies for construction (i-Con). i-Cons are images that have the virtue of being a symbolic vocabulary. These images have an established use, defined according to qualitative spatial relations, parenthood, and connectedness. Through the use of a mediating technology platform (e.g., a computer graphic application), i-Cons are linked to the virtual representations of the components to assist the user in semantically interpreting them and in efficiently arriving at more accurate conclusions.
i-Con: Geometric Topologies for Semantic Interpretation of Building Components Based on a Semiotic Framework
Mutis, I. (author)
International Conference on Computing in Civil Engineering ; 2012 ; Clearwater Beach, Florida, United States
2012-06-11
Conference paper
Electronic Resource
English
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