Construction of Knowledge Graph in the Field of Grassland Plants Based on Ontology Database

被引:1
作者
Yang, Keyi [1 ]
Liu, Yang [1 ]
机构
[1] Shandong Univ Sci & Technol, Qingdao, Peoples R China
来源
INTERNATIONAL CONFERENCE ON ENVIRONMENTAL REMOTE SENSING AND BIG DATA (ERSBD 2021) | 2021年 / 12129卷
关键词
Grassland; Plant resources; Ontology; Plant knowledge graph;
D O I
10.1117/12.2625579
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In recent years, ecological security issues have been complex and diverse, and grassland ecology has also faced problems such as overgrazing, land desertification, and grassland degradation. The protection of grassland ecology is an important issue. As an important biological resource of grassland ecology, grassland plants play an important role in preventing wind and sand fixation and conserving water and soil. Most of the current related researches are concentrated on the ecological function of certain plants or the category of botany. Therefore, this paper analyzes the composition and relationship of grassland plants on the basis of analysis of previous studies, and designs a conceptual framework for grassland plant knowledge graph construction using an ontology-based method; Using a template-based method and DeepDive knowledge extraction tool to extract knowledge from a large amount of grassland plant data, construct a grassland plant knowledge graph. The knowledge graph constructed in this paper covers the conceptual attributes, inter-species relationships and plant functions of grassland plant entities from a macro perspective. It can help protect grassland plant resources and provide basis and services for grassland ecosystem monitoring, protection and management.
引用
收藏
页数:6
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