NLP and Ontology Matching: A successful combination for Trialogical Learning

摘要: Trialogical Learning refers to those forms of learning where learners are collaboratively developing, transforming, or creating shared objects activity in a systematic fashion. In order be really productive, systems supporting must rely on intelligent services let knowledge co-evolve with social practices, an automatic semi-automatic way, according the users’ emerging needs and practical innovations. These requirements raise problems related evolution, content retrieval classification, dynamic suggestion relationships among objects. this paper, we propose exploit Natural Language Processing Ontology Matching techniques for facing above. The Knowledge Practice Environment KP-Lab project has been used as test bed demonstrating feasibility