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Computing Similarity of Patent Terms Based on Knowledge Graph |
Li Jiaquan1(),Li Baoan2,You Xindong1,Lü Xueqiang1 |
1Beijing Key Laboratory of Internet Culture and Digital Dissemination Research, Beijing Information cience & Technology University, Beijing 100101, China 2Computer School, Beijing Information Science & Technology University, Beijing 100101, China |
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Abstract [Objective] The study uses patent knowledge graph to calculate similarities between patent terms, aiming to detect infringement cases from patent texts.[Methods] We calculated term similarities based on the knowledge graph of new energy vehicle patent. Other factors included: the concept hierarchy of terms, the distance between terms in the knowledge graph, the semantic similarity of terms, as well as the attributes of terms.[Results] The accuracy and recall rates of patent term classification were more than 80%, which were significantly higher than those of the traditional methods.[Limitations] Manual construction of concept hierarchy tree and annotation of term classification might yield errors.[Conclusions] It is feasible to compute similarities between patent terms based on the knowledge graph, which provides good reference for future research.
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Received: 22 October 2019
Published: 28 July 2020
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Corresponding Authors:
Li Jiaquan
E-mail: 15600083132@163.com
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