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Data Analysis and Knowledge Discovery  2016, Vol. 32 Issue (12): 66-75    DOI: 10.11925/infotech.1003-3513.2016.12.09
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Managing Patent Semantic Knowledge with Graph Database
Dongsheng Zhai,He Liu(),Jie Zhang,Liwei Cai
School of Economics and Management, Beijing University of Technology, Beijing 100124, China
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[Objective]Design and implement a semantic knowledge management system for the Derwent patent data. [Context] The proposed system collects the patent data as well as the semantic relations among them. It could retrieve patent information with semantic relation. [Methods] First, we analyzed the Derwent patent data and the semantic relations among the data. Second, we modified the method of patent semantic representation based on Ontology. Third, we proposed a Derwent patent graph data model based on property graph model. Finally, we used the Neo4j graphic database to store the instantiated patent data. [Results] We built a semantic knowledge management system using cloud computing technology patents. The new system showed stronger semantic integrity and faster retrieval speed than traditional ones. [Conclusions] The proposed patent semantic knowledge management system offers stable and efficient solutions for organizing and storing patent data.

Key wordsPatent information      Semantic relation      Knowledge base      Graph database     
Received: 09 August 2016      Published: 22 January 2017

Cite this article:

Dongsheng Zhai, He Liu, Jie Zhang, Liwei Cai. Managing Patent Semantic Knowledge with Graph Database. Data Analysis and Knowledge Discovery, 2016, 32(12): 66-75.

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