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Conformance Test Cases for the RDF Mapping Language (RML)

 
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cris.virtual.orcid0000-0001-7946-4884
cris.virtual.orcid0000-0002-8596-222X
cris.virtual.orcid0000-0003-2138-7972
cris.virtual.orcid0000-0002-1583-5719
cris.virtualsource.department33457c44-4f86-42b0-8304-c9c63cdb65a1
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cris.virtualsource.orcid33457c44-4f86-42b0-8304-c9c63cdb65a1
cris.virtualsource.orcidb7a53d41-8999-452e-b3aa-840eb7ca629e
cris.virtualsource.orcidd5c3c8b0-b550-41d2-8864-2cd944937131
cris.virtualsource.orcidb18e2e5b-4e30-41c0-887f-24ab1b4dadb6
dc.contributor.authorHeyvaert, Pieter
dc.contributor.authorChaves-Fraga, David
dc.contributor.authorPriyatna, Freddy
dc.contributor.authorCorcho, Oscar
dc.contributor.authorMannens, Erik
dc.contributor.authorVerborgh, Ruben
dc.contributor.authorDimou, Anastasia
dc.date.accessioned2026-03-31T09:07:36Z
dc.date.available2026-03-31T09:07:36Z
dc.date.createdwos2025-10-29
dc.date.issued2019
dc.description.abstractKnowledge graphs are often generated using rules that apply semantic annotations to data sources. Software tools then execute these rules and generate or virtualize the corresponding RDF-based knowledge graph. RML is an extension of the W3C-recommended R2RML language, extending support from relational databases to other data sources, such as data in CSV, XML, and JSON format. As part of the R2RML standardization process, a set of test cases was created to assess tool conformance the specification. In this work, we generated an initial set of reusable test cases to assess RML conformance. These test cases are based on R2RML test cases and can be used by any tool, regardless of the programming language. We tested the conformance of two RML processors: the RMLMapper and CARML. The results show that the RMLMapper passes all CSV, XML, and JSON test cases, and most test cases for relational databases. CARML passes most CSV, XML, and JSON test cases regarding. Developers can determine the degree of conformance of their tools, and users determine based on conformance results to determine the most suitable tool for their use cases. Similar conten
dc.description.wosFundingTextThe described research activities were funded by Ghent University, imec, Flanders Innovation & Entrepreneurship (AIO), the Research Foundation - Flanders (FWO), and the European Union. The work presented in this paper is partially supported by the Spanish Ministerio de Economia, Industria y Competitividad and EU FEDER funds under the DATOS 4.0: RETOS Y SOLUCIONES - UPM Spanish national project (TIN2016-78011-C4-4-R) and by an FPI grant (BES-2017-082511).
dc.identifier.doi10.1007/978-3-030-21395-4_12
dc.identifier.isbn978-3-030-21394-7
dc.identifier.issn1865-0929
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/58987
dc.language.isoeng
dc.provenance.editstepusergreet.vanhoof@imec.be
dc.publisherSPRINGER INTERNATIONAL PUBLISHING AG
dc.source.beginpage162
dc.source.conferenceKnowledge Graphs and Semantic Web (KGSWC 2019)
dc.source.conferencedate2019-06-23
dc.source.conferencelocationCuba
dc.source.endpage173
dc.source.journalKNOWLEDGE GRAPHS AND SEMANTIC WEB, KGSWC 2019
dc.source.numberofpages12
dc.subject.keywordsWEB
dc.title

Conformance Test Cases for the RDF Mapping Language (RML)

dc.typeProceedings paper
dspace.entity.typePublication
imec.internal.crawledAt2025-10-22
imec.internal.sourcecrawler
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