Querying non-RDF Datasets using Triple Patterns - Archive ouverte HAL
Conference Papers Year : 2017

Querying non-RDF Datasets using Triple Patterns

Benjamin Moreau
David Thoumas
  • Function : Author

Abstract

Triple Pattern Fragments (TPF) interface allows to query Linked Data datasets with high data availability. But, data providers do not integrate large amounts of datasets as Linked Data due to expensive investments in terms of storage and maintenance. The problem we focus on is how to integrate non-RDF datasets on-demand as Linked Data simply and efficiently. In this demo, we present ODMTP, an On-Demand Mapping using Triple Patterns over non-RDF datasets. ODMTP is implemented over a TPF server. We showcase it with SPARQL queries over Twitter.
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Dates and versions

hal-01583518 , version 1 (07-09-2017)

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  • HAL Id : hal-01583518 , version 1

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Benjamin Moreau, Patricia Serrano-Alvarado, Emmanuel Desmontils, David Thoumas. Querying non-RDF Datasets using Triple Patterns. 16th International Semantic Web Conference (ISWC2017), Oct 2017, Vienna, Austria. ⟨hal-01583518⟩
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