Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Hoan Nguyen Mau Quoc"'
Publikováno v:
Sensors, Vol 19, Iss 20, p 4362 (2019)
Recently, many approaches have been proposed to manage sensor data using semantic web technologies for effective heterogeneous data integration. However, our empirical observations revealed that these solutions primarily focused on semantic relations
Externí odkaz:
https://doaj.org/article/71611e7e59144fba9072f881bbb8b64a
Publikováno v:
Sensors
Volume 19
Issue 20
Sensors (Basel, Switzerland)
Sensors, Vol 19, Iss 20, p 4362 (2019)
Volume 19
Issue 20
Sensors (Basel, Switzerland)
Sensors, Vol 19, Iss 20, p 4362 (2019)
Recently, many approaches have been proposed to manage sensor data using semantic web technologies for effective heterogeneous data integration. However, our empirical observations revealed that these solutions primarily focused on semantic relations
Publikováno v:
Proceedings of the 8th International Conference on the Internet of Things-IOT 18
Proceedings of the 8th International Conference on the Internet of Things -IOT '18
Proceedings of the 8th International Conference on the Internet of Things
IOT
Proceedings of the 8th International Conference on the Internet of Things -IOT '18
Proceedings of the 8th International Conference on the Internet of Things
IOT
The ever-increasing growth of the Internet of Things (IoT) has attracted a considerable amount of research attention from the Semantic Web community in order to address the challenge of poor interoperability. However, our survey of research work has
Publikováno v:
Web Semantics: Science, Services and Agents on the World Wide Web
The Internet of Things (IoT) with billions of connected devices has been generating an enormous amount of data every hour. Connecting every data item generated by IoT to the rest of the digital world to turn this data into meaningful actions will cre
Autor:
Hoan Nguyen Mau Quoc, Danh Le Phuoc
Publikováno v:
SEMANTICS
Recently, many approaches have been proposed to manage sensor data using Semantic Web technologies for effective heterogeneous data integration. However, our research survey revealed that these solutions primarily focused on semantic relationships an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19cb29f375255a1e9eab1dd9db651622
Autor:
Martin Serrano, Hoan Nguyen Mau Quoc, Manfred Hauswirth, Danh Le Phuoc, Mahmudur Rahman Saniat, Huy Le Van
Publikováno v:
Interoperability and Open-Source Solutions for the Internet of Things ISBN: 9783319165455
OpenIoT@SoftCOM
OpenIoT@SoftCOM
Internet of Things systems rely on the principles for service deployment and configuration based on delivery models. The predominant service delivery model for the Internet of Things architecture is a novel approach to create a global IoT system for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d66066aaf6b27443c99fc040a9f917df
https://doi.org/10.1007/978-3-319-16546-2_8
https://doi.org/10.1007/978-3-319-16546-2_8
Autor:
Arkady Zaslavsky, John Soldatos, Nikos Kefalakis, Hoan Nguyen Mau Quoc, Martin Serrano, Manfred Hauswirth, Prem Prakash Jayaraman, Danh Le Phuoc
This paper introduces the stack for service delivery models and interoperability in the Internet of Things. The main characteristics and functional layers of the IoT stack are described. The applicability of the IoT stack is described based on partic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::935fca44e168afe4584348b985e764f7
https://publica.fraunhofer.de/handle/publica/239902
https://publica.fraunhofer.de/handle/publica/239902
Autor:
Martin Serrano, Philippe Cousin, Manfred Hauswirth, Wei Wang, Payam Barnaghi, Hoan Nguyen Mau Quoc
Publikováno v:
WOWMOM
Internet of Things (IoT) is an emerging area that not only requires development of infrastructure but also deployment of new services capable of supporting multiple, scalable (cloud-based) and interoperable (multi-domain) applications. In the race of
Akademický článek
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Publikováno v:
Advanced Information Systems Engineering ISBN: 9783642387081
International Semantic Web Conference (1)
International Semantic Web Conference (1)
Linked Stream Data extends the Linked Data paradigm to dynamic data sources. It enables the integration and joint processing of heterogeneous stream data with quasi-static data from the Linked Data Cloud in near-real-time. Several Linked Stream Data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86528e9475b18550bc7d8ab96a3474d4