2020
DOI: 10.3390/s20205918
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A Hybrid Semantic Knowledge Integration and Sharing Approach for Distributed Smart Environments

Abstract: Distributed systems provide smart functionality to everyday objects with the help of wireless sensors using the internet. Since the last decade, the industry is struggling to develop efficient and intelligent protocols to integrate a huge number of smart objects in distributed computing environments. However, the main challenge for smart and distributed system designers lies in the integration of a large number of heterogeneous components for faster, cheaper, and more efficient functionalities. To deal with th… Show more

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Cited by 3 publications
(2 citation statements)
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“…Semantic web provides welldefined meaning to the knowledge which enables computers and people to work together to infer new knowledge with the help of intelligent reasoning engines and rules. Thus, semantic technologies create a universal medium for information exchange in a dynamic heterogeneous environment of devices by giving well-defined manning to the information in a machines processable way [4], [12]. This is a reason; researchers are doing their best efforts to use the potential of semantic technologies to deal with the data heterogeneity problems of IoT devices.…”
Section: Introductionmentioning
confidence: 99%
“…Semantic web provides welldefined meaning to the knowledge which enables computers and people to work together to infer new knowledge with the help of intelligent reasoning engines and rules. Thus, semantic technologies create a universal medium for information exchange in a dynamic heterogeneous environment of devices by giving well-defined manning to the information in a machines processable way [4], [12]. This is a reason; researchers are doing their best efforts to use the potential of semantic technologies to deal with the data heterogeneity problems of IoT devices.…”
Section: Introductionmentioning
confidence: 99%
“…A variety of intelligent reasoning technologies can be used to recognize threats to the IoT. For example, the reasoning technology and semantic-web technology based on ontology [9], and the text mining and malicious code detection technology based on Natural Language Processing (NLP) [10,11]. However, due to the heterogeneity and complexity of the IoT, it is very difficult to create procedures for global security status detection and threat awareness in the IoT system.…”
Section: Introductionmentioning
confidence: 99%