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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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Abstract [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.
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Received: 09 August 2016
Published: 22 January 2017
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