Ontology-based Integration of Knowledge Base for Building an Intelligent Searching Chatbot

A chatbot is a useful tool for communicating with users to extract necessary information. An intelligent chatbot requires an effective knowledge base as materials to adequately organize the knowledge domain and process many kinds of inputted queries as natural text. Ontology technology is effective for use in learning technology systems. In this paper, a model that uses ontology technology for relational knowledge to integrate a structure of scripts is presented. This integrated model, called the Rela-Scripts model, is used to organize the knowledge material of a chatbot to search for knowledge in education. Some problems in searching for knowledge by this chatbot are proposed and solved on the basis of the Rela-Scripts model. The proposed method is applied to build an intelligent chatbot for answering questions on contents of the Introduction to Programming course in a university. This chatbot acts as a tutor by communicating with students in Vietnamese and gives explanations that meet the requirements of students. Its instructions are useful for their self-learning to enhance their programming skills.