Evaluation of existing sensor ontologies to support capturing of construction field data with data acquisition technologies

T. Gao, Semiha Ergan, B. Akinci, J. H. Garrett, L. Soibelman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Advanced data acquisition (DAQ) technologies, such as smart tags, laser scanners and embedded sensors promise to collect accurate, complete, and timely field data, which is essential to increase the control of construction projects. However, since different DAQ technologies have different capabilities, which are meant to collect different types of data that come with different data processing requirements, construction professionals end up making ad-hoc decisions on which technologies to use in order to capture the required field data. To enable the capture of construction field data in a formal way via mapping required field data to applicable DAQ tools, we identified an initial set of representation requirements for modeling DAQ tools. Based on these requirements, we evaluated and compared relevant sensor ontologies. The limitations and capabilities of relevant sensor ontologies are described in this paper. This evaluation revealed that for the mapping process, there is no single ontology that can be used in its original form to represent DAQ tools. Hence, a representation schema, which builds on various aspects of existing ontologies, has been developed.

Original languageEnglish (US)
Title of host publicationComputing in Civil Engineering - Proceedings of the 2012 ASCE International Conference on Computing in Civil Engineering
Pages1-8
Number of pages8
DOIs
StatePublished - 2012
Event2012 ASCE International Conference on Computing in Civil Engineering - Clearwater Beach, FL, United States
Duration: Jun 17 2012Jun 20 2012

Other

Other2012 ASCE International Conference on Computing in Civil Engineering
CountryUnited States
CityClearwater Beach, FL
Period6/17/126/20/12

Fingerprint

Ontology
Data acquisition
Sensors
Lasers

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Computer Science Applications

Cite this

Gao, T., Ergan, S., Akinci, B., Garrett, J. H., & Soibelman, L. (2012). Evaluation of existing sensor ontologies to support capturing of construction field data with data acquisition technologies. In Computing in Civil Engineering - Proceedings of the 2012 ASCE International Conference on Computing in Civil Engineering (pp. 1-8) https://doi.org/10.1061/9780784412343.0001

Evaluation of existing sensor ontologies to support capturing of construction field data with data acquisition technologies. / Gao, T.; Ergan, Semiha; Akinci, B.; Garrett, J. H.; Soibelman, L.

Computing in Civil Engineering - Proceedings of the 2012 ASCE International Conference on Computing in Civil Engineering. 2012. p. 1-8.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Gao, T, Ergan, S, Akinci, B, Garrett, JH & Soibelman, L 2012, Evaluation of existing sensor ontologies to support capturing of construction field data with data acquisition technologies. in Computing in Civil Engineering - Proceedings of the 2012 ASCE International Conference on Computing in Civil Engineering. pp. 1-8, 2012 ASCE International Conference on Computing in Civil Engineering, Clearwater Beach, FL, United States, 6/17/12. https://doi.org/10.1061/9780784412343.0001
Gao T, Ergan S, Akinci B, Garrett JH, Soibelman L. Evaluation of existing sensor ontologies to support capturing of construction field data with data acquisition technologies. In Computing in Civil Engineering - Proceedings of the 2012 ASCE International Conference on Computing in Civil Engineering. 2012. p. 1-8 https://doi.org/10.1061/9780784412343.0001
Gao, T. ; Ergan, Semiha ; Akinci, B. ; Garrett, J. H. ; Soibelman, L. / Evaluation of existing sensor ontologies to support capturing of construction field data with data acquisition technologies. Computing in Civil Engineering - Proceedings of the 2012 ASCE International Conference on Computing in Civil Engineering. 2012. pp. 1-8
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