Title
Generating partial civil information model views using a semantic information retrieval approach
Campus Units
English, Industrial and Manufacturing Systems Engineering, Human Computer Interaction, Virtual Reality Applications Center, Psychology, Gerontology
Document Type
Article
Publication Version
Published Version
Publication Date
1-2020
Journal or Book Title
Journal of Information Technology in Construction (ITcon)
Volume
25
First Page
41
Last Page
54
Research Focus Area(s)
Operations Research
DOI
10.36680/j.itcon.2020.002
Abstract
Open data standards (e.g. LandXML, TransXML, CityGML) are a key to addressing the interoperability issue in exchanging civil information modeling (CIM) data throughout the project life-cycle. Since these schemas include rich sets of data types covering a wide range of assets and disciplines, model view definitions (MVDs) which define subsets of a schema are required to specify what types of data to be shared in accordance with a specific exchange scenario. The traditional procedure for generating and implementing MVDs is time-consuming and laborious as entities and attributes relevant to a particular data exchange context are manually identified by domain experts. This paper presents a method that can locate relevant information from a source XML data schema for a specific domain based on the user's keyword. The study employs a semantic resource of civil engineering terms to understand the semantics of a keyword-based query. The study also introduces a novel context-based search technique for retrieving related entities and their referenced objects. The developed method was tested on a gold standard of several LandXML subschemas. The experiment results show that the semantic MVD retrieval algorithm achieves a mean average precision of nearly 90%. The research is original, being a novel method for extracting partial civil information models given a keyword from the end user. The method is expected to become a fundamental tool assisting professionals in extracting data from complex digital datasets.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright Owner
The Author(s)
Copyright Date
2020
Language
en
File Format
application/pdf
Recommended Citation
Le, Tuyen; Jeong, H. David; Gilbert, Stephen B.; and Chukharev-Hudilainen, Evgeny, "Generating partial civil information model views using a semantic information retrieval approach" (2020). Industrial and Manufacturing Systems Engineering Publications. 229.
https://lib.dr.iastate.edu/imse_pubs/229
Included in
Applied Linguistics Commons, Computational Linguistics Commons, Operational Research Commons, Other Civil and Environmental Engineering Commons
Comments
This article is published as Le, Tuyen, H. David Jeong, Stephen B. Gilbert, and Evgeny Chukharev-Hudilainend. "Generating partial civil information model views using a semantic information retrieval approach." Journal of Information Technology in Construction (ITcon) 25, no. 2 (2020): 41-54. DOI: 10.36680/j.itcon.2020.002. Posted with permission.