TY - GEN
T1 - Evaluation of existing sensor ontologies to support capturing of construction field data with data acquisition technologies
AU - Gao, T.
AU - Ergan, S.
AU - Akinci, B.
AU - Garrett, J. H.
AU - Soibelman, L.
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
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U2 - 10.1061/9780784412343.0001
DO - 10.1061/9780784412343.0001
M3 - Conference contribution
AN - SCOPUS:84888334237
SN - 9780784412343
T3 - Congress on Computing in Civil Engineering, Proceedings
SP - 1
EP - 8
BT - Computing in Civil Engineering - Proceedings of the 2012 ASCE International Conference on Computing in Civil Engineering
T2 - 2012 ASCE International Conference on Computing in Civil Engineering
Y2 - 17 June 2012 through 20 June 2012
ER -