摘要
Abstract
This paper takes the knowledge of flowers as an example to design and construct the knowledge graph,and builds a full-sequence convolutional neural network speech recognition model combined with Transformer.Based on the knowledge graph and speech recognition technology,the intelligent question and answering system of flower planting information is realized.Firstly,the planting information of flowers is obtained by crawler technology,then the entity,relation and attribute are extracted based on the defined data structure to construct the knowledge graph of flowers.Then,the acoustic model is built by using the deep full se-quence convolutional neural network model,and the speech recognition model is constructed by combining with the strong language model Transformer.Finally,on the basis of the established knowledge graph and speech recognition model,the intelligent question and answering system of flower knowledge is designed to locate the questions raised by users and provide users with personalized in-formation service through interface interaction.关键词
百花种植知识/智能问答/知识图谱/语音识别/爬虫技术Key words
flower planting knowledge/intelligent question answering/knowledge graph/speech recognition/crawler tech-nology分类
自科综合
