Ontology matching determines the correspondences between concepts and relations of related ontologies. In this paper, we put forward an ontology hierarchies matching approach based on lattices alignment. The proposed lattice-based matching algorithm can be utilized not only in matching processes between two ontologies, but also in annotation processes between an ontology and its corresponding r...

Ontology matching is an integral part for establishing semantic interoperability. One of the main challenges within ontology operation heterogeneity, i.e. modeling differences between two ontologies that are to be integrated. The semantics most or schemas are, however, typically incomplete because they designed a certain context which not explicitly modeled. Therefore, external background knowl...

Ontology matching is a research area aimed at finding ways to make different ontologies interoperable. Solutions the problem have been proposed from disciplines, including databases, natural language processing, and machine learning. The role of foundational for ontology an important one, as they provide well-founded reference model that can be shared across domains. It multifaceted with room d...

Ontology matching is the process of finding semantic correspondences between entities from different ontologies. As an effective solution to linking different heterogeneous ontologies, ontology matching has attracted considerable attentions in recent years. In this paper, we propose a novel graphbased approach to ontology matching problem. Different from previous work, we formulate ontology mat...

We extend the notion of ontology matching to community-driven ontology matching. Primarily, the idea is to enable Web communities to establish and reuse ontology mappings in order to achieve, within those communities, an adequate and timely domain representation, facilitated knowledge exchange, etc. Secondarily, the matching community is provided with the new practice, which is a public alignme...

Ontology matching is a critical task to realize the Semantic Web vision, by enabling interoperability between ontologies. However, handling large ontologies efficiently is a challenge, given that ontology matching is a problem of quadratic complexity. AgreementMakerLight (AML) is a scalable automated ontology matching system developed to tackle large ontology matching problems, particularly for...