Finding Concept Coverings in Aligning Ontologies of Linked Data

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Provided by: RWTH Aachen University
Topic: Data Management
Format: PDF
Despite the recent growth in the size of the Linked Data Cloud, the absence of links between the vocabularies of the sources has resulted in heterogeneous schemas. The author's previous work tried to find conceptual mapping between two sources and was successful in finding alignments, such as equivalence and subset relations, using the instances that are linked as equal. By using existential concepts and their intersections to de ne specialized classes (restriction classes), they were able to find alignments where previously existing concepts in one source did not have corresponding equivalent concepts in the other source.
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