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Integration and Exploitation process of domain ontology into Machine Teaching PERO2

Published: 10 November 2016 Publication History

Abstract

The Interest to "Machines Teaching" these recent years receives a great importance in order to extend their deployment in educational institutions, by facilitating their appropriation by users. This research work is part of the PERO2 project (intelligent system for learning of reasoning and problem-solving in physics domain specifically the subdomain "electricity") conducted at Toulouse1 University [1] and Chouaib Doukkali University (LAROSERI, "PERO2). The general aim is to improve the system by offering a new version PERO2 by means of integrating an ontological knowledge base of concepts instead of a relational database and extend this new version to other disciplines of physical sciences. A knowledge base includes knowledge specific to a domain (Concepts, theorems, lemmas, laws, ...), generally modeled and stored in a declarative manner in the form of ontology which can be exploited by PERO2, allowing its consultation and its use.

References

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El-Hore A., Tazi S. 2005. PERO a planning system for the explanation of problem solving in physics. Workshop on Mixed Language Explanations in Learning Environments, dans le cadre de AIED 18--22 Juillet 2005, Amsterdam, Hollander. http://andes3.lrdc.pitt.edu/xlang/. Classée A par CORE
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De Nicola, A. Missikoff, M. Navigli, R. 2009. A software engineering approach to ontology building. In: Information Systems, 34(2), 2009, 258--275.
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Fortineau, V. 2013. Contribution à une modélisation ontologique des informations tout au long du cycle de vie du produit. Chemical and Process Engineering. Ecole nationale supérieure d'arts et métiers - ENSAM., France, 2013
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Gruber, T.R. 1993. Toward principles for the design of ontologies used for knowledge sharing. In Formal Ontology in Conceptual Analysis and Knowledge Representation, edited by Nicola Guarino and Roberto Poli, Kluwer Academic Publishers, in press. Substantial revision of paper presented at the International Workshop on Formal Ontology, Italy. March, 1993. www2.umassd.edu/SWAgents/agentdocs/stanford/ontodesign.
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Müller, J.P. 2007. Mimosa: Using ontologies for modeling and simulation. In: Proceedings of Informatik 2007, 25 September 2007, Bremeen, Germany. s.l.: s.n., (5) p. Informatik 2007,2007-09-25,Bremen, Allemagne. http://www.complex07.org/online-edition/files/extended_abstracts/Cx07-Muller.pdf
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Cited By

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  • (2021)Cognitive Load of Ontology as a Means of Information Representation in the Educational ProcessIntelligent Computing10.1007/978-3-030-80129-8_25(340-352)Online publication date: 6-Jul-2021
  • (2018)Application of ontologies in higher education: A systematic mapping study2018 IEEE Global Engineering Education Conference (EDUCON)10.1109/EDUCON.2018.8363385(1344-1353)Online publication date: Apr-2018

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cover image ACM Other conferences
BDAW '16: Proceedings of the International Conference on Big Data and Advanced Wireless Technologies
November 2016
398 pages
ISBN:9781450347792
DOI:10.1145/3010089
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 10 November 2016

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Author Tags

  1. Domain Ontology
  2. Knowledge Base
  3. Learning of Reasoning
  4. Machines Teaching
  5. Normalization

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Cited By

View all
  • (2021)Cognitive Load of Ontology as a Means of Information Representation in the Educational ProcessIntelligent Computing10.1007/978-3-030-80129-8_25(340-352)Online publication date: 6-Jul-2021
  • (2018)Application of ontologies in higher education: A systematic mapping study2018 IEEE Global Engineering Education Conference (EDUCON)10.1109/EDUCON.2018.8363385(1344-1353)Online publication date: Apr-2018

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