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Building thesaurus-based knowledge graph based on schema layer

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成果类型:
期刊论文
作者:
Qiao, Bo;Fang, Kui*;Chen, Yiming;Zhu, Xinghui
通讯作者:
Fang, Kui
作者机构:
[Zhu, Xinghui; Qiao, Bo; Fang, Kui; Chen, Yiming] Hunan Agr Univ, Coll Informat Sci & Technol, Changsha 410128, Hunan, Peoples R China.
通讯机构:
[Fang, Kui] H
Hunan Agr Univ, Coll Informat Sci & Technol, Changsha 410128, Hunan, Peoples R China.
语种:
英文
关键词:
Knowledge graph;Agricultural thesaurus;Schema layer;Triple;Mathematical model
期刊:
Cluster Computing
ISSN:
1386-7857
年:
2017
卷:
20
期:
1
页码:
81-91
基金类别:
Our work has been fully supported by the National Science and Technology Funding Program (2012BAD35807), the Hunan Province’s Key Science and Technology Project (2016NK2118), as well as the Hunan Education Authority’s Science Research Project (13C389).
机构署名:
本校为第一且通讯机构
院系归属:
信息科学技术学院
摘要:
Google proposed the concept of knowledge graph to improve the quality of searching results in 2012, so the knowledge graph brought a hot topic in the field of academic and industry. The knowledge graph can effectively improve the searching quality and the accuracy of Q & A system, which is a hot issue. With the help of agricultural experts, this paper based on the Agricultural Thesaurus, determines the rules for judging whether a thesaurus is a concept or an entity, establishes maps from Agricultural Thesaurus to the agricultural knowledge grap...

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