论文标题
危机管理基于本体的聊天机器人：用例冠状病毒
An ontology-based chatbot for crises management: use case coronavirus
论文作者
论文摘要
今天是机器中情报的时代。随着人工智能的进步，机器已经开始模仿不同的人类特质，聊天机器人是对话服务领域的下一个大事。聊天机器人是一个虚拟人，有能力与人进行自然对话。它们可以包括使他们能够以音频，视觉或文本格式与人类交谈的技能。人工智能对话实体，也称为聊天机器人，对话代理或对话系统，是此类机器的一个很好的例子。在正确的时间和地点获取正确的信息是有效灾难管理的关键。 “灾难管理”一词涵盖了自然和人为引起的灾难。为了协助公民，我们的项目是创建一个共同的助手，以提供最新信息的需求，以便24小时可用。随着万维网的增长，用户对迅速且相关的正确信息感兴趣的狩猎是非常可理解的。聊天机器人可以看作是一个问答系统，专家提供知识以征集用户。该主题专门讨论Covid Assistant Chatbot并详细说明每个组件。提出的聊天机器人的设计由其七个组件介绍：本体论，网络刮擦模块，数据库，状态机，关键字提取器，训练有素的聊天机器人和用户界面。
Today is the era of intelligence in machines. With the advances in Artificial Intelligence, machines have started to impersonate different human traits, a chatbot is the next big thing in the domain of conversational services. A chatbot is a virtual person who is capable to carry out a natural conversation with people. They can include skills that enable them to converse with the humans in audio, visual, or textual formats. Artificial intelligence conversational entities, also called chatbots, conversational agents, or dialogue system, are an excellent example of such machines. Obtaining the right information at the right time and place is the key to effective disaster management. The term "disaster management" encompasses both natural and human-caused disasters. To assist citizens, our project is to create a COVID Assistant to provide the need of up to date information to be available 24 hours. With the growth in the World Wide Web, it is quite intelligible that users are interested in the swift and relatedly correct information for their hunt. A chatbot can be seen as a question-and-answer system in which experts provide knowledge to solicit users. This master thesis is dedicated to discuss COVID Assistant chatbot and explain each component in detail. The design of the proposed chatbot is introduced by its seven components: Ontology, Web Scraping module, DB, State Machine, keyword Extractor, Trained chatbot, and User Interface.
