The present work describes a new model of pattern classification and its application to align
instances from different ontologies, which are in turn related to e-learning educative content …

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

This paper presents an automatic ontology matching approach (called LSSOM-Lexical
Structural Semantic-based Ontology Matching method) which brings a final alignment by …

Similarity is one of the most straightforward ways to relate objects and guide the human
perception of the world. It has an important role in many areas, such as Information …

Ontology and schema matching is one of the most important tasks for data integration. We
suggest to combine the different matchers with machine learning approach. The features are …

Sensor ontologies formally model the core concepts in the sensor domain and their
relationships, which facilitates the trusted communication and collaboration of Artificial …

In this article, the authors propose a new hybrid approach based on a continuous Non-
dominated Sorting Genetic Algorithm II (NSGA-II) and a neural network to refine the …

There is a need of personalized Web information extraction. Mining vast information across
the Web is not an easy task. We need to undergo various reduction techniques to remove …

The present work describes an original associative model of pattern classification and its
application to align different ontologies containing Learning Objects (LOs), which are in turn …

In semantic web, ontology plays an important role to provide formal definitions of concepts
and relationships. Therefore, communicating similar ontologies becomes essential to …