Managing semantic heterogeneity is a complex task. One solution involves matching like terms to each other. We view Match as an operator that takes two graph-like structures (e.g....
Pavel Shvaiko, Fausto Giunchiglia, Paulo Pinheiro ...
An ultimate goal of AI is to build end-to-end systems that interpret natural language, reason over the resulting logical forms, and perform actions based on that reasoning. This r...
In geospatial applications with heterogeneous classification schemes that describe related domains, an ontology-driven approach to data sharing and interoperability relies on the ...
Abstract. In semantic web applications where query initiators and information providers do not necessarily share the same ontology, semantic interoperability generally relies on on...
Anthony Ventresque, Sylvie Cazalens, Philippe Lama...
Abstract. In P2P data management systems, semantic interoperability between any two peers that do not share the same ontology relyes on ontology matching. The established correspon...
Anthony Ventresque, Sylvie Cazalens, Philippe Lama...