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Proposals for Improving Korean CALS
System using Semantic Technologies 1Chosun
University, Gwangju, Republic of Korea
2Korea Institute of Constrction Technology, Goyang-Si, Gyeonggi-Do, Republic of Korea fsmb, ngkimg@kict.re.kr Abstract Continuous Acquisition and Life-cycle Support (CALS) System has been running by the Ministry of Land, Transport and Marine Affairs (MLTM) in Republic of Korea, in order to manage huge amount of construction businesses effectively based on the Project Management Information System (PMIS) concept. In Europe, Japan, and other developed countries, including the United States had already been applied this PMIS into the construction industry for maintaining diverse construction businesses much earlier than South Korea did. The project for preparing construction CALS system had been started since 1998, and currently there are many kinds of system such as Construction business information system, Construction business management system, Facility maintenance system, Land acquisition compensation system, Construction approval system, Construction CALS portal system, and more which are operating in on-line. However, these systems are operated by their own purpose independently, so it is not easy to analyse data which might be related to among the systems. In particularly, there are hundreds of thousands of meaningful data around the system which can provide helpful information for users who are looking for new business partners or lands, organizations. Most of the tasks for the construction business has done by human hands so far. Only resulting data is transformed into digital values in order to give a service to construction institutes for maintaining or construction companies for searching the projects, and so on. This paper provides few proposals for improving Korean Construction CALS systems by using semantic technologies such as an ontology theory, Internet of Things (IoT), and semantic web technology in order to deal with huge amount of data in CALS systems. Keywords: CALS system, Semantic Technologies,
Internet of Things (IoT) +: Corresponding author: Pankoo Kim IT Convergence Practice (INPRA), Vol. 2, No. 4, pp. 44-54, December 2014 [pdf] |