Construction of Ontology-based Rice Breeding Method Knowledge Base

LAI Yingxu; LI Yajuan; LIU Jing

doi:10.11936/bjutxb2018030020

Journal of Beijing University of Technology > 2019 > 45(12): 1181-1191. > DOI: 10.11936/bjutxb2018030020

LAI Yingxu, LI Yajuan, LIU Jing. Construction of Ontology-based Rice Breeding Method Knowledge Base[J]. Journal of Beijing University of Technology, 2019, 45(12): 1181-1191. DOI: 10.11936/bjutxb2018030020

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Construction of Ontology-based Rice Breeding Method Knowledge Base

College of Computer Science, Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China

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Received Date: March 21, 2018
Available Online: August 03, 2022
Published Date: December 09, 2019

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Abstract

Abstract

To improve the ability of the analysis of knowledge base, an ontology framework that introduces functional analysis techniques was proposed. In this paper, a functional analysis method was proposed based on the problem model with the material-field model of TRIZ innovation theory. The proposed method can effectively help users to analyze and solve existing problems. A CRF's named entity recognition method was also proposed based on patent text of rice breeding to achieve automatic extraction and addition of instance, which effectively improve the construction quality and efficiency of the domain knowledge base. The experimental results show that the knowledge base of rice breeding can effectively analyze user's problems and give reasonable suggestions.
- knowledge base,
- ontology,
- rice breeding method,
- knowledge representation,
- knowledge reasoning

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References (23)

References

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Construction of Ontology-based Rice Breeding Method Knowledge Base