Instance-based ontology matching for e-learning material using an associative pattern classifier

作者：

Highlights：

• A new model for ontology matching over educative content repositories is introduced.

• The model was validated on the OAEI 2014 campaign, ADRIADNE and MERLOT.

• The homogeneity of resources for e-learning is improved.

• The results obtained show a high precision measurement.

摘要

•A new model for ontology matching over educative content repositories is introduced.•The model was validated on the OAEI 2014 campaign, ADRIADNE and MERLOT.•The homogeneity of resources for e-learning is improved.•The results obtained show a high precision measurement.

论文关键词：Ontology matching,Semantic Web,Knowledge Society,E-learning,Pattern recognition,Associative classifier

论文评审过程：Received 7 January 2016, Revised 14 June 2016, Accepted 14 December 2016, Available online 18 December 2016, Version of Record 24 December 2016.

论文官网地址：https://doi.org/10.1016/j.chb.2016.12.039