A Framework on Semantic Thing Retrieval Method in IoT and IoE Environment
| Autor: | Jaehak Yu, Soonhyun Kwon, Sun-Jin Kim, Ji-Hoon Bae, Hyunjoong Kang, Cheol-Sig Pyo |
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| Rok vydání: | 2018 |
| Předmět: |
020203 distributed computing
business.industry Computer science Smart device 020206 networking & telecommunications Context (language use) 02 engineering and technology Large scale data Semantics law.invention World Wide Web Metadata law 0202 electrical engineering electronic engineering information engineering Internet of Things business Semantic Web |
| Zdroj: | 2018 International Conference on Platform Technology and Service (PlatCon). |
| DOI: | 10.1109/platcon.2018.8472745 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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