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A model based framework for semantic...

Babalola, Olubi Oluyomi.

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A model based framework for semantic interpretation of architectural construction drawings.

Record Type:	Electronic resources : Monograph/item
Title/Author:	A model based framework for semantic interpretation of architectural construction drawings./
Author:	Babalola, Olubi Oluyomi.
Description:	299 p.
Notes:	Source: Dissertation Abstracts International, Volume: 74-11(E), Section: B.
Contained By:	Dissertation Abstracts International74-11B(E).
Subject:	Information Technology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3571296
ISBN:	9781303223396

A model based framework for semantic interpretation of architectural construction drawings.
Babalola, Olubi Oluyomi.

A model based framework for semantic interpretation of architectural construction drawings. - 299 p.

Source: Dissertation Abstracts International, Volume: 74-11(E), Section: B.

Thesis (Ph.D.)--Georgia Institute of Technology, 2011.

This item is not available from ProQuest Dissertations & Theses.

The study addresses the automated translation of architectural drawings from 2D Computer Aided Drafting (CAD) data into a Building Information Model (BIM), with emphasis on the nature, possible role, and limitations of a drafting language Knowledge Representation (KR) on the problem and process. The central idea is that CAD to BIM translation is a complex diagrammatic interpretation problem requiring a domain (drafting language) KR to render it tractable and that such a KR can take the form of an information model.

ISBN: 9781303223396Subjects--Topical Terms:

1030799
Information Technology.

A model based framework for semantic interpretation of architectural construction drawings.
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100 1 $a Babalola, Olubi Oluyomi. $3 3170919
245 1 2 $a A model based framework for semantic interpretation of architectural construction drawings.
300 $a 299 p.
500 $a Source: Dissertation Abstracts International, Volume: 74-11(E), Section: B.
500 $a Adviser: Charles M. Eastman.
502 $a Thesis (Ph.D.)--Georgia Institute of Technology, 2011.
506 $a This item is not available from ProQuest Dissertations & Theses.
506 $a This item must not be sold to any third party vendors.
506 $a This item must not be added to any third party search indexes.
520 $a The study addresses the automated translation of architectural drawings from 2D Computer Aided Drafting (CAD) data into a Building Information Model (BIM), with emphasis on the nature, possible role, and limitations of a drafting language Knowledge Representation (KR) on the problem and process. The central idea is that CAD to BIM translation is a complex diagrammatic interpretation problem requiring a domain (drafting language) KR to render it tractable and that such a KR can take the form of an information model.
520 $a Formal notions of drawing-as-language have been advanced and studied quite extensively for close to 25 years. The analogy implicitly encourages comparison between problem structures in both domains, revealing important similarities and offering guidance from the more mature field of Natural Language Understanding (NLU). The primary insight we derive from NLU involves the central role that a formal language description plays in guiding the process of interpretation (inferential reasoning), and the notable absence of a comparable specification for architectural drafting.
520 $a We adopt a modified version of Engelhard's approach which expresses drawing structure in terms of a symbol set, a set of relationships, and a set of compositional frameworks in which they are composed. We further define an approach for establishing the features of this KR, drawing upon related work on conceptual frameworks for diagrammatic reasoning systems. We augment this with observation of human subjects performing a number of drafting interpretation exercises and derive some understanding of its inferential nature therefrom. We consider this indicative of the potential range of processes a computational drafting model should ideally support.
520 $a The KR is implemented as an information model using the EXPRESS language because it is in the public domain and is the implementation language of the target Industry Foundation Classes (IFC) model. We draw extensively from the IFC library to demonstrate that it can be applied in this manner, and apply the MVD methodology in defining the scope and interface of the DOM and IFC. This simplifies the IFC translation process significantly and minimizes the need for mapping.
520 $a We conclude on the basis of selective implementations that a model reflecting the principles and features we define can indeed provide needed and otherwise unavailable support in drafting interpretation and other problems involving reasoning with this class of diagrammatic representations.
590 $a School code: 0078.
650 4 $a Information Technology. $3 1030799
650 4 $a Engineering, Architectural. $3 1671790
690 $a 0489
690 $a 0462
710 2 $a Georgia Institute of Technology. $b Design Computing. $3 3170920
773 0 $t Dissertation Abstracts International $g 74-11B(E).
790 $a 0078
791 $a Ph.D.
792 $a 2011
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3571296