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You searched for +publisher:"Georgia Tech" +contributor:("Sacks, Rafael"). Showing records 1 – 4 of 4 total matches.

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Georgia Tech

1. Venugopal, Manu. Formal specification of industry foundation class concepts using engineering ontologies.

Degree: PhD, Civil and Environmental Engineering, 2011, Georgia Tech

 Architecture, Engineering, Construction (AEC) and Facilities Management (FM) involve domains that require a very diverse set of information and model exchanges to fully realize the… (more)

Subjects/Keywords: Semantics; Product/process modeling; Industry Foundation Classes (IFC); Model exchanges; Construction engineering; Building Information Modeling (BIM); Model View Definitions (MVD); Architecture; Computer programs

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APA (6th Edition):

Venugopal, M. (2011). Formal specification of industry foundation class concepts using engineering ontologies. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/42868

Chicago Manual of Style (16th Edition):

Venugopal, Manu. “Formal specification of industry foundation class concepts using engineering ontologies.” 2011. Doctoral Dissertation, Georgia Tech. Accessed November 18, 2019. http://hdl.handle.net/1853/42868.

MLA Handbook (7th Edition):

Venugopal, Manu. “Formal specification of industry foundation class concepts using engineering ontologies.” 2011. Web. 18 Nov 2019.

Vancouver:

Venugopal M. Formal specification of industry foundation class concepts using engineering ontologies. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2019 Nov 18]. Available from: http://hdl.handle.net/1853/42868.

Council of Science Editors:

Venugopal M. Formal specification of industry foundation class concepts using engineering ontologies. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/42868

2. Aram, Shiva. A Knowledge-based system framework for semantic enrichment and automated detailed design in the AEC projects.

Degree: PhD, Architecture, 2015, Georgia Tech

 Adoption of a streamlined BIM workflow throughout the AEC projects’ lifecycle will provide the project stakeholders with the rich information embedded in the parametric design… (more)

Subjects/Keywords: Knowledge-based systems; KBS; Semantic enrichment; Automated design; BIM; IFC; QTO; Quantity take-off; Cost estimation; Precast concrete; Reasoning

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APA (6th Edition):

Aram, S. (2015). A Knowledge-based system framework for semantic enrichment and automated detailed design in the AEC projects. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53496

Chicago Manual of Style (16th Edition):

Aram, Shiva. “A Knowledge-based system framework for semantic enrichment and automated detailed design in the AEC projects.” 2015. Doctoral Dissertation, Georgia Tech. Accessed November 18, 2019. http://hdl.handle.net/1853/53496.

MLA Handbook (7th Edition):

Aram, Shiva. “A Knowledge-based system framework for semantic enrichment and automated detailed design in the AEC projects.” 2015. Web. 18 Nov 2019.

Vancouver:

Aram S. A Knowledge-based system framework for semantic enrichment and automated detailed design in the AEC projects. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Nov 18]. Available from: http://hdl.handle.net/1853/53496.

Council of Science Editors:

Aram S. A Knowledge-based system framework for semantic enrichment and automated detailed design in the AEC projects. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/53496

3. Lee, Yong Cheol. Rule logic and its validation framework of model view definitions for building information modeling.

Degree: PhD, Architecture, 2015, Georgia Tech

 With the growing number of complex requirements for building and facility projects, diverse domain experts iteratively exchange building design and product data during the design,… (more)

Subjects/Keywords: Rule checking; Rule logic; Design checking; Data exchange; Building information modeling (BIM); Industry foundation classes (IFC); Model view definition (MVD)

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APA (6th Edition):

Lee, Y. C. (2015). Rule logic and its validation framework of model view definitions for building information modeling. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54430

Chicago Manual of Style (16th Edition):

Lee, Yong Cheol. “Rule logic and its validation framework of model view definitions for building information modeling.” 2015. Doctoral Dissertation, Georgia Tech. Accessed November 18, 2019. http://hdl.handle.net/1853/54430.

MLA Handbook (7th Edition):

Lee, Yong Cheol. “Rule logic and its validation framework of model view definitions for building information modeling.” 2015. Web. 18 Nov 2019.

Vancouver:

Lee YC. Rule logic and its validation framework of model view definitions for building information modeling. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Nov 18]. Available from: http://hdl.handle.net/1853/54430.

Council of Science Editors:

Lee YC. Rule logic and its validation framework of model view definitions for building information modeling. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/54430


Georgia Tech

4. Lee, Ghang. A new formal and analytical process to product modeling (PPM) method and its application to the precast concrete industry.

Degree: PhD, Architecture, 2004, Georgia Tech

 The current standard product (data) modeling process relies on the experience and subjectivity of data modelers who use their experience to eliminate redundancies and identify… (more)

Subjects/Keywords: Databases; Data modeling; Process modeling; Product modeling; Precast concrete

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lee, G. (2004). A new formal and analytical process to product modeling (PPM) method and its application to the precast concrete industry. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/4830

Chicago Manual of Style (16th Edition):

Lee, Ghang. “A new formal and analytical process to product modeling (PPM) method and its application to the precast concrete industry.” 2004. Doctoral Dissertation, Georgia Tech. Accessed November 18, 2019. http://hdl.handle.net/1853/4830.

MLA Handbook (7th Edition):

Lee, Ghang. “A new formal and analytical process to product modeling (PPM) method and its application to the precast concrete industry.” 2004. Web. 18 Nov 2019.

Vancouver:

Lee G. A new formal and analytical process to product modeling (PPM) method and its application to the precast concrete industry. [Internet] [Doctoral dissertation]. Georgia Tech; 2004. [cited 2019 Nov 18]. Available from: http://hdl.handle.net/1853/4830.

Council of Science Editors:

Lee G. A new formal and analytical process to product modeling (PPM) method and its application to the precast concrete industry. [Doctoral Dissertation]. Georgia Tech; 2004. Available from: http://hdl.handle.net/1853/4830

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