EXPERT CHAT-BOTS FOR CULTURAL HERITAGE
Giovanni Pilato, Giorgio Vassallo, Agnese Augello, Maria Vasile, Salvatore Gaglio · 2004
Abstract. A key role in the human reasoning capability is given by intuition. The aim of the work is to design a framework for an human-like information supplier, which combines “intuition ” with the traditional, more rigid, rules-based knowledge. It is presented a preliminary system that represents the first step toward the aforementioned framework. The system allows a user to interact with a community of chat-bots having specific competences in order to navigate in a concepts space automatically generated with the Latent Semantic Analysis paradigm. The chat-bots knowledge bases have been created to deal with the Cultural Heritage field. Then they have been sub-symbolically coded in the semantic space created with LSA. Thanks to this approach, chat-bots are capable to estimate their own competence regarding questions formulated by the user, which are mapped in the same semantic space. 1