中圖分類號：TP391
文獻標志碼：A
DOI: 10.16157/j.issn.0258-7998.233824
中文引用格式： 陳曉晉，唐球，王耀君. 面向農業(yè)知識圖譜構建的文本實體標注準則構建及應用[J]. 電子技術應用，2023，49(5)：1-7.
英文引用格式： Chen Xiaojin，Tang Qiu，Wang Yaojun. Construction and application of agricultural text data entity labeling criteria for agricultural knowledge graph construction[J]. Application of Electronic Technique，2023，49(5)：1-7.

Construction and application of agricultural text data entity labeling criteria for agricultural knowledge graph construction

Abstract： With the development of agricultural big data and smart agriculture, in the face of massive agricultural text data, the demand for building knowledge graph and other natural language processing applications has gradually increased. At present, the entity corpus and entity labeling system in the agricultural field are still in a blank state. When dealing with agricultural texts, we are faced with such problems as how to define the category and scope of entities. Based on this problem, this paper takes the agricultural thesaurus as the scientific basis, proposes the agricultural text data entity labeling criteria for the construction of agricultural knowledge graph, covering a variety of agricultural entities such as crops, pests and weeds, and constructs a self-annotation corpus based on agricultural text based on the labeling principles of the criteria, and carries out experimental verification to prove the effectiveness of the criteria. This criterion provides a referential labeling specification for the construction of agricultural entity corpus and corpus support for agricultural entity recognition.

Key words : knowledge graph；agricultural text；entity tagging；knowledge representation