An academic system based on ontological networks to support the inference of new knowledge in micro and macro curriculum in higher education

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The Institutions of Higher-Education (IHE) seek to answer to the new ways of understanding and projecting the higher-education materialized in a graduate’s profile. Before this challenge the educational models take principally the theoretical - practical references of the critical pedagogy, the constructivism and the collaborative learning. Though there exist several offers of administration of the knowledge, which have formalized the structure organizational of the academic institutions in ontologies, considering the actors (student-teacher), the evidences that the academic process produces and since they relate among yes. None divides and explicit the development that the actors of the ecosystem take across the time. Our offer is the construction of an ontological network academician, as instrument of support to the academic body and for centralization of the information. For which we realize a process of reengineering of institutional relevant documents, as the academic record of the students, in each of your facets of learning. In addition, we interview specialists in the area and re-use ontologies of academic domain, shaping this way a strong base of knowledge.

Original languageEnglish (US)
Title of host publicationAn academic system based on ontological networks to support the inference of new knowledge in micro and macro curriculum in higher education
EditorsAleksandra Polak-Sopinska, Salman Nazir, Anna-Maria Teperi
Pages316-328
Number of pages13
ISBN (Electronic)9783319938813
DOIs
StatePublished - 1 Jan 2019
EventAdvances in Intelligent Systems and Computing - , Germany
Duration: 1 Jan 2015 → …

Publication series

NameAdvances in Intelligent Systems and Computing
Volume785
ISSN (Print)2194-5357

Conference

ConferenceAdvances in Intelligent Systems and Computing
Country/TerritoryGermany
Period1/01/15 → …

Keywords

  • Higher-education
  • Ontological network
  • Semantic technologies

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