Generalized Property Graphs (GPG) of Property-Value Structures for Knowledge Model
Zhanfan Zhao1, Byung-Hun Jeon2, Ju-Ri Kim3

1Zhanfan Zhao, College of Information Engineering, Hebei GEO University, Hebei, China.
2Byung-Hun Jeon, College of Korean Medicine, WonKwang University, Iksan, Korea.
3Ju-Ri, Kim, College of Convergence & Liberal Arts, WonKwang University, Iksan, Korea.
Manuscript received on 19 September 2019 | Revised Manuscript received on 06 October 2019 | Manuscript Published on 11 October 2019 | PP: 499-505 | Volume-8 Issue-2S10 September 2019 | Retrieval Number: B10870982S1019/2019©BEIESP | DOI: 10.35940/ijrte.B1087.0982S1019
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Abstract: As a popular emerging technology, knowledge graphs (KGs) have become a platform of Web-based knowledge applications and services. Two dominant graph-based knowledge models, RDF and LPG, are widely used to construct large-scale KGs. It is argued that these models have some limitations to cope with complicated knowledge structures. This paper proposes a noble generalized property graph model that can seamlessly realize knowledge structures with compact expressiveness and robust formalism. Since the proposed graph model is compatible with RDF and LPG, it can be practically applied to KGs with effective performance.
Keywords: Property Graph, Knowledge Graph, Attribute-Value Matrices.
Scope of the Article: Graph Algorithms and Graph Drawing