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De-icing federated SPARQL pipelines: a method for assessing the "freshness" of result sets

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Abstract

In recent years, the ever-increasing number of available linkeddata endpoints has allowed the creation of complex data pipelines leveraging these massive amounts of information. One crucial challenge for federated pipeline designers is to know when to query the various sources they use in order to obtain fresher final results. In other words, they want to know when a data update on a specific source impacts their own final results. Unfortunately, the SPARQL standard does not provide them with a method to be aware of such updates; and therefore pipelines are regularly relaunched from scratch, often uselessly. To help them decide when to get fresher results, we propose a constructive method. Practically, it relies on digitally signing result sets from federated endpoints in order to create a specific query able to warn when, and explain why, the pipeline result set is outdated. In addition, as our solution is exclusively based on SPARQL 1.1 built-in functions, it is fully-compliant with all the endpoints.
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Dates and versions

hal-03516459 , version 1 (07-01-2022)

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  • HAL Id : hal-03516459 , version 1

Cite

Damien Graux, Fabrizio Orlandi, Declan O'Sullivan. De-icing federated SPARQL pipelines: a method for assessing the "freshness" of result sets. MEPDaW 2021 - 7th Workshop on Managing the Evolution and Preservation of the Data Web, Oct 2021, Virtual Event, United States. ⟨hal-03516459⟩
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