eCite Digital Repository
A semantic collaboration method based on uniform knowledge graph
Citation
Li, Q and Cao, Z and Tanveer, M and Pandey, HM and Wang, C, A semantic collaboration method based on uniform knowledge graph, IEEE Internet of Things Journal, 7, (5) pp. 4473-4484. ISSN 2327-4662 (2020) [Refereed Article]
Copyright Statement
Copyright 2020 IEEE
DOI: doi:10.1109/JIOT.2019.2960150
Abstract
The Semantic Internet of Things is the extension of the Internet of Things and the Semantic Web, which aims to build an interoperable collaborative system to solve the heterogeneous problems in the Internet of Things. However, the Semantic Internet of Things has the characteristics of both the Internet of Things and the Semantic Web environment, and the corresponding semantic data presents many new data features. In this study, we analyze the characteristics of semantic data and propose the concept of a uniform knowledge graph, allowing us to be applied to the environment of the Semantic Internet of Things better. Here, we design a semantic collaboration method based on a uniform knowledge graph. It can take the uniform knowledge graph as the form of knowledge organization and representation, and provide a useful data basis for semantic collaboration by constructing semantic links to complete semantic relation between different data sets, to achieve the semantic collaboration in the Semantic Internet of Things. Our experiments show that the proposed method can analyze and understand the semantics of user requirements better and provide more satisfactory outcomes.
Item Details
Item Type: | Refereed Article |
---|---|
Keywords: | semantic internet of things, semantic collaboration, knowledge graph, internet of things, uniform knowledge graph |
Research Division: | Information and Computing Sciences |
Research Group: | Machine learning |
Research Field: | Neural networks |
Objective Division: | Defence |
Objective Group: | Defence |
Objective Field: | Intelligence, surveillance and space |
UTAS Author: | Cao, Z (Dr Zehong Cao) |
ID Code: | 136634 |
Year Published: | 2020 (online first 2019) |
Deposited By: | Information and Communication Technology |
Deposited On: | 2020-01-11 |
Last Modified: | 2020-08-19 |
Downloads: | 0 |
Repository Staff Only: item control page