Mapeamento ontológico para classificar mensagens significativas em atividades colaborativas

Abstract

Collaboration allows individual to share objects, information and ideas to make decisions, but it is hard to measure the participation. The information in a collaborative environment, for the most part, are in different modeled on different points of view about the knowledge of the context. Normally, each system has its own language and syntax for a representation of knowledge, forming a local semantics for each of them, or making data processing difficult. This work has the purpose of mapping interactions between individuals in a collaborative environment of activities with the use of ontologies to evaluate meaningful messages. The application of the proposed ontology was applied in the exchanged messages between the Collabora participants, which is a collaborative learning environment to promote collaboration among students through a chat and allows the exchange of messages, links and files for the activities resolution. The proposed ontology was able to identify from interactions between the participants which messages could be classified as meaningful.