A dataflow platform for applications based on Linked Data. (2018)

• Record Type: Journal Article
• Authors: Ceriani, Miguel; Bottoni, Paolo
• Is Part Of: International journal of computational science and engineering. Volume 16:Number 4(2018)
• Page Start: 419
• Page End: 429
• Publication Date: 2018
• Subjects: Linked Data -- Semantic Web -- SPARQL -- RDF -- dataflow -- declarative programming; Computer science -- Mathematics -- Periodicals; Computer simulation -- Mathematical aspects -- Periodicals; Computational intelligence -- Periodicals; 004.015105
• Languages: English
• ISSNs: 1742-7185

Abstract

Modern software applications increasingly benefit from accessing the multifarious and heterogeneous Web of Data, thanks to the use of web APIs and Linked Data principles. In previous work, the authors proposed a platform to develop applications consuming Linked Data in a declarative and modular way. This paper describes in detail the functional language the platform gives access to, which is based on SPARQL (the standard query language for Linked Data) and on the dataflow paradigm. The language features interactive and meta-programming capabilities so that complex modules/applications can be developed. By adopting a declarative style, it favours the development of modules that can be reused in various specific execution contexts.