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학술대회 A Framework on Semantic Thing Retrieval Method in IoT and IoE Environment
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저자
유재학, 권순현, 강현중, 김선진, 배지훈, 표철식
발행일
201801
출처
International Conference on Platform Technology and Service (PlatCon) 2018, pp.77-81
DOI
https://dx.doi.org/10.1109/PlatCon.2018.8472745
초록
The concept of Internet of Things (IoT) and Internet of Everything (IoE) was proposed to realize intelligent to thing and smart device communications using Web standard technology. To many, the large scale data generated by IoT and IoE environment are considered having highly valuable and useful information. Increasing requirements to generate new values through data analysis and autonomous mash-up have resulted in active studies on integration with semantic web technologies in the IoT and IoE. Particularly, in order to utilize IoE data in real environment, connectivity and mutual cooperation technology suitable for various services are required. In this paper, we proposed a semantic thing retrieval system in IoT and IoE that can perform efficient thing retrieval operation with various thing metadata and things with states information in IoT and IoE.
키워드
Internet of Everything, Internet of Things, Semantic Web, Thing Retrieval Methodology
KSP 제안 키워드
Data analysis, Internet of Everything, Internet of thing(IoT), IoE Data, Large-scale data, Mash-up, Real environment, Semantic thing, Semantic web technologies, Smart devices, retrieval method