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Specifying Knowledge Graph with Data Graph, Information Graph, Knowledge Graph, and Wisdom Graph
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Author(s): Yucong Duan (College of Information Science and Technology, Hainan University, Haikou, China), Lixu Shao (Hainan Unviersity, Haikou, China)and Gongzhu Hu (Central Michigan University, Mount Pleasant, USA)
Copyright: 2018
Volume: 6
Issue: 2
Pages: 16
Source title:
International Journal of Software Innovation (IJSI)
Editor(s)-in-Chief: Roger Y. Lee (Central Michigan University, USA)and Lawrence Chung (The University of Texas at Dallas, USA)
DOI: 10.4018/IJSI.2018040102
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Abstract
Knowledge graphs have been widely adopted, in large part owing to their schema-less nature. It enables knowledge graphs to grow seamlessly and allows for new relationships and entities as needed. A knowledge graph is a graph constructed by representing each item, entity and user as nodes, and linking those nodes that interact with each other via edges. Knowledge graphs have abundant natural semantics and can contain various and more complete information. It is an expression mechanism close to natural language. However, we still lack a unified definition and standard expression form of knowledge graph. The authors propose to clarify the expression of knowledge graph as a whole. They clarify the architecture of knowledge graph from data, information, knowledge, and wisdom aspects respectively. The authors also propose to specify knowledge graph in a progressive manner as four basic forms including data graph, information graph, knowledge graph and wisdom graph.
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