Inference model for dynamic classification of monographs at university level

Abstract

The inappropriate visibility of degree documents in monograph mode prevents new members of the academic community from querying and accessing them, significantly limiting the possibility of giving continuity and complementing versions of already completed work, such as applying the results both industrial  and socially. This article proposes a knowledge base model supported on ontology to improve the relevance of documents in the digital level as a result of a search on specific interest aspects. To produce new knowledge, predicate logic is used and applied to the ontological model of the representation of monographs, in order to establish dynamic and reliable inferences or to make changes in situations where required.