Interfaz conversacional para responder a demandas de información sobre cursos abiertos, usando una base de conocimiento descrita con Linked Data

Abstract

Abstract: In order to satisfy information requests from the different users of the open course platform Open Campus. It is necessary to build a system capable of training chatbots from linked data, which communicates with users through different social networks. In an initial phase it is necessary to analyze the problem and the state of the art of the technologies to be used, in order to design an efficient and innovative solution. With a defined theoretical framework, we proceed to define an architecture that will ensure that the functional and non-functional requirements are fulfilled to the fullest. Likewise, an ontology is defined in order to establish a knowledge base from where responses will be constructed that satisfy requests for information in natural language, which are identified with the use of NLP. With this well-defined design, we proceed to several agile and incremental phases of automated development, testing and deployment of microservices until we reach a final prototype that contains the functionalities necessary to solve the different demands of user information.