S. Amrouch, S. Mostefai and M. Fahad. 2016. Decision trees in automatic ontology matching. International Journal of Metadata, Semantics and Ontologies (IJMSO), 11, 3 (January 2016), Inderscience, 180-190. DOI: https://doi.org/10.1504/IJMSO.2016.081585.

Amrouch, S., Mostefai, S. & Fahad, M. (2016, January). Decision trees in automatic ontology matching. International Journal of Metadata, Semantics and Ontologies (IJMSO), 11(3), Inderscience, 180-190. DOI: https://doi.org/10.1504/IJMSO.2016.081585

S. Amrouch, S. Mostefai and M. Fahad, "Decision trees in automatic ontology matching". International Journal of Metadata, Semantics and Ontologies (IJMSO), vol. 11, no. 3, Inderscience, pp. 180-190, January, 2016. DOI: https://doi.org/10.1504/IJMSO.2016.081585.

@article{misc-lab-237,
author = {Amrouch, Siham and Mostefai, Sihem and Fahad, Muhammad},
title = {Decision trees in automatic ontology matching},
journal = {International Journal of Metadata, Semantics and Ontologies (IJMSO)},
volume = {11},
number = {3},
issn = {1744-2621},
pages = {180--190},
publisher = {Inderscience},
year = {2016},
month = {January},
doi = {10.1504/IJMSO.2016.081585},
url = {https://doi.org/10.1504/IJMSO.2016.081585},
keywords = {ontology matching, instance matching, OWL-DL, linguistic similarity, wordNet, decision trees, Weka, semantic web, knowledge reuse}
}

TI  - Decision trees in automatic ontology matching
AU  - S. Amrouch
AU  - S. Mostefai
AU  - M. Fahad
PY  - 2016
SN  - 1744-2621
JO  - International Journal of Metadata, Semantics and Ontologies (IJMSO)
VL  - 11
IS  - 3
SP  - 180
EP  - 190
PB  - Inderscience
AB  - The semantic web progress gave rise to a growing number of ontologies in various fields. In order to allow knowledge reuse, ontology matching is an interesting option. In this paper, we propose an ontology matching system that performs class, property and instance matching. This latter is usually achieved by means of Natural Language Processing (NLP) techniques, which are context dependent. To avoid the limits of NLP, we use a decision tree-based instance matching scheme. Decision tree is one of the most widely used learning algorithms for inductive inference and classification. Our system works on OWL-DL ontologies, that is ontologies expressed in the Description Logic version of the Ontology Web Language. This ensures the maximum of expressiveness, completeness and decidability. Our approach is tested with the benchmark and conference tracks of the OAEI'2015 campaign. It shows very promising results since it outperforms other matching systems in most of the test cases.
KW  - ontology matching
KW  - instance matching
KW  - OWL-DL
KW  - linguistic similarity
KW  - wordNet
KW  - decision trees
KW  - Weka
KW  - semantic web
KW  - knowledge reuse
DO  - 10.1504/IJMSO.2016.081585
UR  - https://doi.org/10.1504/IJMSO.2016.081585
ID  - misc-lab-237
ER  -