Abstract—Ontology matching is a key issue in the Semantic. Web. The paper describes an unsupervised neural model for matching pairs of ontologies.

Ontology matching is a key issue in the Semantic Web. The paper describes an unsupervised neural model for matching pairs of ontologies.

Ontology matching is a key issue in the Semantic Web. The paper describes an unsupervised neural model for matching pairs of ontologies.

Proceedings of the Federated Conference on Computer Science and Information Systems pp. 933–940 ISBN 978-83-60810-22-4 A Neural Model for Ontology Matching.

Ontology matching is an effective method to establish interoperability between heterogeneous ontologies. Artificial neural networks are powerful ...

Abstract—The paper contains analysis of researches, that provide ontology alignment techniques, based on the usage of neural networks for a part of ...

In this paper, we take an artificial neu- ral network approach to learning and adjusting the above weights, and thereby support a new ontol- ogy matching ...

Our model also maintains good performance when tested on a different domain, which could lead to potential cross-domain applications. PDF Abstract. Code.

This chapter studies ontology matching: the problem of finding the seman- tic mappings between two given ontologies. This problem lies at the heart of.

Jun 3, 2021 · We propose a Artificial Neural Network (ANN)-based sensor ontology matching technique (ANN-OM), which employs the representative entities for enhancing the ...