Please use this identifier to cite or link to this item: http://hdl.handle.net/11144/3687
Title: Towards Semi-automatic Generation of R2R Mappings
Authors: Pequeno, Valéria M.
Keywords: Mapping Patterns
RDF-to-RDF Mapping
R2R Mapping
Mapping Assertion
RDF Model
Ontologies
Issue Date: Mar-2018
Abstract: Translating data from linked data sources to the vocabulary that is expected by a linked data application requires a large number of mappings and can require a lot of structural transformations as well as complex property value transformations. The R2R mapping language is a language based on SPARQL for publishing expressive mappings on the web. However, the specification of R2R mappings is not an easy task. This paper therefore proposes the use of mapping patterns to semi-automatically generate R2R mappings between RDF vocabularies. In this paper, we first specify a mapping language with a high level of abstraction to transform data from a source ontology to a target ontology vocabulary. Second, we introduce the proposed mapping patterns. Finally, we present a method to semi-automatically generate R2R mappings using the mapping patterns.
Peer reviewed: no
URI: http://hdl.handle.net/11144/3687
Appears in Collections:AUTONOMA TECHLAB - Artigos/Papers

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