Using OpenCyc and Domain Ontologies for Ontology Learning from Concept Maps

DOI

10.2991/.2013.39How to use a DOI?

Keywords

concept maps, semantic inference, and ontology learning

Abstract

In this paper, an extended method for ontology learning from concept maps is presented. Concept maps are a flex-ible and informal knowledge representation, while ontol-ogies are semantically formalized representations oriented to be processing by intelligent systems. The mapping be-tween them is a formal transformation based on semantics inference in concept maps. OpenCyc and domain ontolo-gies are used in a combined way with WordNet for increasing the coverage in the semantics inference in the concept map and the method’s applicability. The novel proposal is experimentally evaluated using concept maps from published works with satisfactory and promising results.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Amhed Suárez-Rodríguez
AU  - Alfredo Simón-Cuevas
AU  - José A. Olivas
PY  - 2013/10
DA  - 2013/10
TI  - Using OpenCyc and Domain Ontologies for Ontology Learning from Concept Maps
BT  - Proceedings of the Fourth International Workshop on Knowledge Discovery, Knowledge Management and Decision Support
PB  - Atlantis Press
SP  - 315
EP  - 321
SN  - 1951-6851
UR  - https://doi.org/10.2991/.2013.39
DO  - 10.2991/.2013.39
ID  - Suárez-Rodríguez2013/10
ER  -