Article

A SPARQL Extension for Generating RDF from Heterogeneous Formats

Authors:

The Semantic Web: 14th International Conference, ESWC 2017, Portorož, Slovenia, May 28 – June 1, 2017, Proceedings, Part I

Pages 35 - 50

https://doi.org/10.1007/978-3-319-58068-5_3

Published: 28 May 2017 Publication History

Abstract

RDF aims at being the universal abstract data model for structured data on the Web. While there is effort to convert data in RDF, the vast majority of data available on the Web does not conform to RDF. Indeed, exposing data in RDF, either natively or through wrappers, can be very costly. Furthermore, in the emerging Web of Things, resource constraints of devices prevent from processing RDF graphs. Hence one cannot expect that all the data on the Web be available as RDF anytime soon. Several tools can generate RDF from non-RDF data, and transformation or mapping languages have been designed to offer more flexible solutions (GRDDL, XSPARQL, R2RML, RML, CSVW, etc.). In this paper, we introduce a new language, SPARQL-Generate, that generates RDF from: (i) a RDF Dataset, and (ii) a set of documents in arbitrary formats. As SPARQL-Generate is designed as an extension of SPARQL 1.1, it can provably: (i) be implemented on top on any existing SPARQL engine, and (ii) leverage the SPARQL extension mechanism to deal with an open set of formats. Furthermore, we show evidence that (iii) it can be easily learned by knowledge engineers that know SPARQL 1.1, and (iv) our first naive open source implementation performs better than the reference implementation of RML for big transformations.

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Asprino LDaga EGangemi AMulholland P(2023)Knowledge Graph Construction with a Façade: A Unified Method to Access Heterogeneous Data Sources on the WebACM Transactions on Internet Technology10.1145/355531223:1(1-31)Online publication date: 23-Feb-2023
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Published In

The Semantic Web: 14th International Conference, ESWC 2017, Portorož, Slovenia, May 28 – June 1, 2017, Proceedings, Part I

May 2017

687 pages

ISBN:978-3-319-58067-8

DOI:10.1007/978-3-319-58068-5

Editors:
Eva Blomqvist
Linköping University, Linköping, Sweden
,
Diana Maynard
University of Sheffield, Sheffield, United Kingdom
,
Aldo Gangemi
Paris Nord University, Paris, France
,
Rinke Hoekstra
Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
,
Pascal Hitzler
Wright State University, Dayton, Ohio, USA
,
Olaf Hartig
Linköping University, Linköping, Sweden

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 28 May 2017

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Asprino LDaga EGangemi AMulholland P(2023)Knowledge Graph Construction with a Façade: A Unified Method to Access Heterogeneous Data Sources on the WebACM Transactions on Internet Technology10.1145/355531223:1(1-31)Online publication date: 23-Feb-2023
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https://dl.acm.org/doi/10.1145/3543873.3587628
Belmaksene AKhouri S(2023)Discovering Relationships Between Heterogeneous Declarative Mappings for RDF Knowledge GraphModel and Data Engineering10.1007/978-3-031-49333-1_6(69-83)Online publication date: 2-Nov-2023
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Lefrançois MGnabasik D(2023)The SAREF Pipeline and Portal—An Ontology Verification FrameworkThe Semantic Web – ISWC 202310.1007/978-3-031-47243-5_8(134-151)Online publication date: 6-Nov-2023
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Arenas-Guerrero JAlobaid ANavas-Loro MPérez MCorcho O(2023)Boosting Knowledge Graph Generation from Tabular Data with RML ViewsThe Semantic Web10.1007/978-3-031-33455-9_29(484-501)Online publication date: 28-May-2023
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Updating RDFS ABoxes and TBoxes in SPARQL

RDF, Jena, SparQL and the 'Semantic Web'

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