Ontology matching is an important part of enabling the semantic web to reach its full potential. Most existing ontology matching methods are mainly based on linguistic information (label, name, title and comment) but from the results achieved it is realized that this information is not sufficient. The latest ontology matching research works are trying to deeply dig into the structural information of ontologies by using "similarityflooding" method. However, there are several innate issues in similarity-flooding methods that lead to wrong matching results. In this paper, we report the problems of similarity-flooding in ontology matching and propose a novel method to effectively leverage the structural information of the ontology. The evaluation is conducted on OAEI ontology matching benchmarks from 2011 to 2015. The result shows that the proposed approach performs comparatively well with other state of the art matching systems.

Xie, C., Chekol, M., Spahiu, B., Cai, H. (2016). Leveraging structural information in ontology matching. In Proceedings - International Conference on Advanced Information Networking and Applications, AINA (pp.1108-1115). Institute of Electrical and Electronics Engineers Inc. [10.1109/AINA.2016.64].

Leveraging structural information in ontology matching

SPAHIU, BLERINA;
2016

Abstract

Ontology matching is an important part of enabling the semantic web to reach its full potential. Most existing ontology matching methods are mainly based on linguistic information (label, name, title and comment) but from the results achieved it is realized that this information is not sufficient. The latest ontology matching research works are trying to deeply dig into the structural information of ontologies by using "similarityflooding" method. However, there are several innate issues in similarity-flooding methods that lead to wrong matching results. In this paper, we report the problems of similarity-flooding in ontology matching and propose a novel method to effectively leverage the structural information of the ontology. The evaluation is conducted on OAEI ontology matching benchmarks from 2011 to 2015. The result shows that the proposed approach performs comparatively well with other state of the art matching systems.
paper
Ontology Matching
English
30th IEEE International Conference on Advanced Information Networking and Applications
2016
Proceedings - International Conference on Advanced Information Networking and Applications, AINA
9781509018574
2016
2016-
1108
1115
7474214
open
Xie, C., Chekol, M., Spahiu, B., Cai, H. (2016). Leveraging structural information in ontology matching. In Proceedings - International Conference on Advanced Information Networking and Applications, AINA (pp.1108-1115). Institute of Electrical and Electronics Engineers Inc. [10.1109/AINA.2016.64].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/118083
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