Ontology matching is a core task when creating interoperable and linked open datasets. In this paper, we explore novel structure-based mapping approach which based on knowledge graph embeddings: The ontologies to be matched are embedded, an known as absolute orientation used align the two embedding spaces. Next approach, paper presents first, preliminary evaluation using synthetic real-world We...

Most existing ontology matching methods are based on the linguistic information. However, some ontologies have not sufficient or regular linguistic information such as natural words and comments, so the linguistic-based methods can not work. Structure-based methods are more practical for this situation. Similarity propagation is a feasible idea to realize the structure-based matching. But tradi...

Ontology and schema matching are well established techniques, which have been applied in various integration scenarios, e.g., web service composition and database integration. Consequently, matching tools enabling automatic matching of various kinds of schemas are available. In the field of model-driven engineering, in contrast to schema and ontology integration, the integration of modeling lan...

This paper aims at analyzing the key challenges of the ontology matching field and the system which worked on these challenges. There has been an enormous effort to provide a range of solutions to the matching problem by developing a variety of tools, yet it does not appear to be a finest one that is a standard for developing other matching tools. In this paper we first provide the basics of on...

Ontology matching exists to solve practical problems. Hence, methodologies to find and evaluate solutions for ontology matching should be centered on practical problems. In this paper we propose two statistically-founded evaluation techniques to assess ontology-matching performance that are based on the application of the alignment. Both are based on sampling. One examines the behavior of an al...

When Cloud Platform for Computer Aided Engineering Simulation (CPCAES) are developed to use Service-Oriented Architecture (SOA), on the one hand, it’s necessary to accurately express the service requirements of users, on the other hand it’s need to semantic of the existing services in the platform, and then to match the ontologies. The existing Ontology Web Language for Services / Universal Des...