Um modelo semântico para integração automática de conteúdo com um agente conversacional

Abstract

A conversational agent is able to interact with users in natural language, imitating the dialogue held between humans. However, the need for manual labor by the authors content for the construction of dialogues base makes the not too attractive to be integrated into websites. It would be possible to facility the creation of new dialogues and automate the update them using as a basis the resources provided by the Semantic Web to integrate conversational agent to a Web Content Management System (WCMS) so that you content is used. The work proposed here describes the model for use of WCMS’s information in conversational agents with semantic web aid, called Eduardo. The main difference is in automating the update of dialogues, as they are extracted from WCMS for a triple database, which are referred to generation of dialogues, if there is any update on the basis WCMS, just redo the procedures that have been automated so that the dialogues are update, thus avoiding manual labor editing of files written in AIML (Artificial Intelligence Markup Language). It developed a prototype of this model which allows dynamic content integration with a conversational agent. The prototype was evaluated for ability to generate the information necessary for the dialogue, accessing the Web pages and their content representing in RDFa and AIML formats. In a second step, interaction assays were performed with users in the components of conversational agent to assess its functionality, acceptance and other aspects of use.