文献类型：期刊文献

英文题名：A Semantic Collaboration Method Based on Uniform Knowledge Graph

作者：Li, Qi[1];Cao, Zehong[2,3];Tanveer, M.[4];Pandey, Hari Mohan[5];Wang, Chen[6]

机构：[1]Shaoxing Univ, Dept Comp Sci & Engn, Shaoxing 312000, Peoples R China;[2]Univ Technol Sydney, Sch Comp Sci, Sydney, NSW 2007, Australia;[3]Univ Tasmania, Dept Discipline ICT, Hobart, Tas 7001, Australia;[4]Indian Inst Technol Indore, Discipline Math, Indore 452020, India;[5]Edge Hill Univ, Dept Comp Sci, Ormskirk L39 4QP, England;[6]Chongqing Univ, Coll Comp Sci, Chongqing 400030, Peoples R China

年份：2020

卷号：7

期号：5

起止页码：4473

外文期刊名：IEEE INTERNET OF THINGS JOURNAL

收录：SCI-EXPANDED(收录号：WOS:000536066300069)、、EI(收录号：20202108689772)、Scopus(收录号：2-s2.0-85084929118)、WOS

基金：This work was supported in part by the National Key Research and Development Program of China under Grant 2017YFB1402401.

语种：英文

外文关键词：Internet of Things (IoT); knowledge graph; semantic collaboration; Semantic IoT (SIoT)

外文摘要：The Semantic Internet of Things (SIoT) is the extension of the Internet of Things (IoT) and the Semantic Web, which aims to build an interoperable collaborative system to solve the heterogeneous problems in the IoT. However, the SIoT has the characteristics of both the IoT and the Semantic Web environment, and the corresponding semantic data present many new data features. In this article, we analyze the characteristics of semantic data and propose the concept of a uniform knowledge graph (UKG), allowing us to be applied to the environment of the SIoT better. Here, we design a semantic collaboration method based on a UKG. It can take the UKG as the form of knowledge organization and representation, and provide a useful data basis for semantic collaboration by constructing the semantic links to complete semantic relation between different data sets, to achieve the semantic collaboration in the SIoT. Our experiments show that the proposed method can analyze and understand the semantics of user requirements better and provide more satisfactory outcomes.