一种对话机器人开发技术综述与系统架构实现

Overview of Chatbot Technology and System Architecture Implementation

对话机器人是使用自然语言处理与生成技术,模拟人类对话逻辑并与人进行交流的计算机程序。作为新一代人工智能产品的人机交互主要入口,逻辑实现方式与交互是对话机器人设计的关键。本文结合对话机器人的技术特点,在实现过程中采用基于Python语言的Django微服务Web应用开发框架,将对话算法模型与逻辑处理过程进行微服务化API封装,使其他应用能够请求对话服务的接口进行功能的二次开发。为了提高对话响应速度,本文采用了关系型数据库MySQL与基于内存的非关系型数据库Redis结合的方式,减少算法模型对硬盘的读取次数,优化了用户体验。

A chatbot is a computer program that simulates human conversation and communicates with human through natural language processing and generation technology.As main access to human-computer interaction for a new generation of artificial intelligence products,logical implementation and interaction are critical to the design of chatbots.Based on technical characteristics of chatbots,this paper adopts Python-based Django micro-service web application development framework in the implementation and encapsulates dialogue algorithm model and logic processing process into a microservice API(Application Programming Interface).Thus,other applications can request the interface of dialogue service for a secondary development of functions.In order to improve the efficiency of query processing,a memory-based non-relational database Redis(Remote Dictionary Server)is used with relational database MySQL(Structured Query Language)to reduce the number of reads from hard disk and so to optimize system performance.