A Semantic Collaboration Method Based on Uniform Knowledge Graph

Qi Li, Zehong Cao, M. Tanveer, Hari Mohan Pandey, Chen Wang

Research output: Contribution to journalArticle

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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.
Original languageEnglish
Article numberIoT-7673-2019.R2
Pages (from-to)4473-4484
Number of pages12
JournalIEEE Internet of Things Journal
Volume7
Issue number5
Early online date17 Dec 2019
DOIs
Publication statusPublished - May 2020

Keywords

  • Semantic internet of things
  • semantic collaboration
  • knowledge graph
  • Internet of things

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