Proceedings of the Fourth International Workshop on Knowledge Discovery, Knowledge Management and Decision Support

Using OpenCyc and Domain Ontologies for Ontology Learning from Concept Maps

Authors
Amhed Suárez-Rodríguez, Alfredo Simón-Cuevas, José A. Olivas
Corresponding Author
Amhed Suárez-Rodríguez
Available Online October 2013.
DOI
https://doi.org/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.
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Proceedings
Fourth International Workshop on Knowledge Discovery, Knowledge Management and Decision Support
Part of series
Advances in Intelligent Systems Research
Publication Date
October 2013
ISBN
978-90-78677-86-4
ISSN
1951-6851
DOI
https://doi.org/10.2991/.2013.39How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 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  - https://doi.org/10.2991/.2013.39
ID  - Suárez-Rodríguez2013/10
ER  -