As a unified model for describing biomedical knowledge, a biomedical ontology is of help to
solve the issues of data heterogeneity in different biomedical databases. However, these …

In a paper published in the 2001 VLDB Conference, we proposed treating generic schema
matching as an independent problem. We developed a taxonomy of existing techniques, a …

The purely manual specification of semantic correspondences between schemas is almost
infeasible for very large schemas or when many different schemas have to be matched …

It is increasingly common to find real-life data represented as networks of labeled,
heterogeneous entities. To query these networks, one often needs to identify the matches of …

Ontology matching is an integral part for establishing semantic interoperability. One of the
main challenges within the ontology matching operation is semantic heterogeneity, ie …

With the development of the Semantic Web (SW), the creation of ontologies to formally
conceptualize our understanding of various domains has widely increased in number …

The most ground approach to solve the ontology heterogeneous problem is to determine the
semantically identical entities between them, so-called ontology matching. However, the …

This paper presents the results of RiMOM in the Ontology Alignment Evaluation Initiative
(OAEI) 2010. We participate in three tracks of the campaign: Benchmark, IM@ OAEI2010 …

Ontology matching plays a crucial role to resolve semantic heterogeneities within
knowledge-based systems. However, ontologies contain a massive number of concepts …

In this report, we give a brief explanation of how RiMOM obtains the results at OAEI 2009
Campaign, especially in the new Instance Matching track. At first, we show the basic …