Using OpenCyc and Domain Ontologies for Ontology Learning from Concept Maps
Amhed Suárez-Rodríguez, Alfredo Simón-Cuevas, José A. Olivas
Available Online October 2013.
- https://doi.org/10.2991/.2013.39How to use a DOI?
- concept maps, semantic inference, and ontology learning
- 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.
- 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 -