A Semantic Collaboration Method Based on Uniform Knowledge Graph

Authors: Li, Q., Cao, Z., Tanveer, M., Pandey, H.M. and Wang, C.

Journal: IEEE Internet of Things Journal

Volume: 7

Issue: 5

Pages: 4473-4484

eISSN: 2327-4662

DOI: 10.1109/JIOT.2019.2960150

Abstract:

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.

Source: Scopus