System Development & Application
|
178-182

Semi-automated construction method of pet knowledge graph

Yuan Qi
Liu Yuan
Xie Zhenping
Lu Jing
School of Digital Media, Jiangnan University, Wuxi Jiangsu 214122, China

Abstract

This paper proposed a construction framework of pet knowledge graph. It designed and constructed the schema layer in a top-down manner and constructed the data layer by extracting knowledge from semi-structured and unstructured data. For entity extraction of unstructured data, this paper proposed a symptom-named entity recognition method which combined conditional random field(CRF) and pet symptom dictionary. The method used symptom dictionary to identify the text and obtained the semantic category information, and then combined CRF and the semantic information to identify symptom-named entities. The experimental results show the effectiveness of the method. It selected the attribute graph model supported by the OrientDB database for knowledge representation. The knowledge graph used the OrientDB graph database for knowledge storage. In addition, it showed the constructed pet knowledge graph.

Foundation Support

国家自然科学基金资助项目(61672264)
国家科技支撑计划资助项目(2015BAH54F01)
江苏省研究生科研与实践创新计划项目(SJCX17_0505)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.05.0490
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 1
Section: System Development & Application
Pages: 178-182
Serial Number: 1001-3695(2020)01-037-0178-05

Publish History

[2020-01-05] Printed Article

Cite This Article

袁琦, 刘渊, 谢振平, 等. 宠物知识图谱的半自动化构建方法 [J]. 计算机应用研究, 2020, 37 (1): 178-182. (Yuan Qi, Liu Yuan, Xie Zhenping, et al. Semi-automated construction method of pet knowledge graph [J]. Application Research of Computers, 2020, 37 (1): 178-182. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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