A model for Linked Open Data Acquisition and SPARQL Query Generation

Abstract : Nowadays, Linked Open Data (LOD) represents a promising source for many applications of the Semantic Web. However, appropriate data acquisition techniques have to be developed to overcome both incompleteness and redundancy. Our work addresses this problem in the scenario of populating an OWL ontology with property assertions considering the existence of multiple, equivalent, multi-valued and missing propertiesintheLOD.Sincethecorrespondencestobebuiltarecomplex, we propose a model to specify them. We also define a model to specify alternative paths to access properties in case of missing values. We then show how these models are used to automatically generate SPARQL queries and thus, facilitate interrogation. A running example is given.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01345087
Contributor : Chantal Reynaud <>
Submitted on : Wednesday, July 13, 2016 - 10:38:38 AM
Last modification on : Wednesday, November 14, 2018 - 12:52:02 PM

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  • HAL Id : hal-01345087, version 1

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Céline Alec, Chantal Reynaud-Delaître, Brigitte Safar. A model for Linked Open Data Acquisition and SPARQL Query Generation. 22nd International Conference on Conceptual Structure , Jul 2016, Annecy, France. pp.237-251. ⟨hal-01345087⟩

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