Sistema LINNAEUS: apoio inteligente para a catalogação e edição de metadados de objetos de aprendizagem

Abstract

Learning objects (LO) are getting more importance in the education environment, providing digital resources that are increasingly common in both classrooms and e-learning teaching. Nowadays, these objects can be found in educational materials, without being explicitly defined as learning objects. During the latest years the use of learning objects is growing up, bringing with that the necessity of solutions for the cataloging and editing metadata information about these objects to make possible the recovery, reuse and even the change of these objects. To give support for this task, this dissertation proposes an intelligent learning object metadata editor, the Linnaeus system, which will provide help for the cataloging process of learning objects through the use of intelligent agents, and semantic web technologies, in the form of editing wizards and learning domain educational ontologies.