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author:

Li, Gongxin (Li, Gongxin.) [1] | Lin, Jinghuai (Lin, Jinghuai.) [2] | Lu, Jiayu (Lu, Jiayu.) [3] | Xu, Qifeng (Xu, Qifeng.) [4]

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EI Scopus

Abstract:

The standardization of domain knowledge and knowledge sharing can be realized easily based on ontology technology. However, It takes time and effort to build ontology manually. In the semi-automatic ontology construction based on ontology learning, the extraction method of term relations has shortcomings such as poor portability and low accuracy. To improve the performance of ontology term relation extraction, a new method of ontology term relation extraction is proposed in this paper, and the experimental results are provided. © 2019 IEEE.

Keyword:

Extraction Ontology

Community:

  • [ 1 ] [Li, Gongxin]Grid Fujian Electric Power Co., Ltd., Fuzhou, China
  • [ 2 ] [Lin, Jinghuai]Grid Fujian Electric Power Co., Ltd., Fuzhou, China
  • [ 3 ] [Lu, Jiayu]College of Electric Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 4 ] [Xu, Qifeng]College of Electric Engineering and Automation, Fuzhou University, Fuzhou, China

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Year: 2019

Page: 370-374

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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