摘要
针对我国现存网络农业数据库同质异构、知识零散化、一物多词、歧义解析缺乏规范等问题,提出了基于语义知识图谱的农业知识智能检索方法。本文方法围绕农作物品种、农作物病虫害、农作物简介、模型方法4个要素,自顶向下构建模式层;通过本体建模形成知识图谱的概念框架,自底向上构建数据层;通过数据获取、知识抽取、融合、存储建立实体间关联关系。针对语料中歧义字段问题,本文方法在构建知识图谱中收集大量专有词汇,并对其进行分词及词性标注。为了解决在农业知识中一物多词的问题,收集了数量庞大的主要农作物别名,并作为实体赋予明确属性,采用Bi-LSTM-CRF进行实体识别,并通过LSTM将问题进行分类,利用TF-IDF进行关键字提取,最后将知识存储于Neo4j图数据库中,从而对相关农业知识数据做规范分类,解决一物多词、一义多解问题。
Aiming at the problems of huge agricultural data,low utilization rate,complex structure and fragmented knowledge in China,a top-down and bottom-up agricultural knowledge map construction method was proposed.Focusing on the four elements of crop varieties,crop diseases and insect pests,crop introduction,and model methods,the model layer was constructed from the top down,and the conceptual framework of the knowledge graph was formed through ontology modeling,the data layer was constructed from the bottom up,through data acquisition,knowledge extraction,and fusion,storing and establishing the relationship between entities.Aiming at the problem of ambiguous fields in the corpus,this method collects large number of proprietary vocabularies in the construction of knowledge graphs to segment and mark them.In order to solve the problem of multi-word in agricultural knowledge,many main crop aliases were collected and assigned as entities.Bi-LSTM-CRF was used for named entity recognition,and LSTM was used to classify the problem,and TF-IDF was used for keyword extraction,and finally the knowledge was stored in the Neo4 j graph database.The research can be used for agricultural knowledge intelligent retrieval systems,intelligent search systems and other applications to improve user experience.
作者
张海瑜
陈庆龙
张斯静
张子怡
杨帆
李鑫星
ZHANG Haiyu;CHEN Qinglong;ZHANG Sijing;ZHANG Ziyi;YANG Fan;LI Xinxing(Yantai Institute,China Agricultural University,Yantai 264670,China;College of Engineering,China Agricultural University,Beijing 100083,China;College of Information and Electrical Engineering,China Agricultural University,Beijing 100083,China)
出处
《农业机械学报》
EI
CAS
CSCD
北大核心
2021年第S01期156-163,共8页
Transactions of the Chinese Society for Agricultural Machinery
基金
国家自然科学基金青年科学基金项目(61802411)
关键词
知识图谱
农业知识
农业词汇
一物多词
智能检索
knowledge graph
agricultural knowledge
agricultural word
multiple words with one meaning
intelligent retrieval
作者简介
张海瑜(1986—),女,讲师,主要从事知识图谱技术与应用研究,E-mail:zhanghaiyu@cau.edu.cn;通讯作者:李鑫星(1983—),男,副教授,博士,主要从事农业系统与知识工程研究,E-mail:lxxcau@cau.edu.cn
