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List of DQV implementations

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This page collects implementations of the Data Quality Vocabulary, a RDF vocabulary which is described in http://www.w3.org/TR/vocab-dqv/ and has been developed in the W3C Data on the Web Best Practices Group. Any kind of DQV implementations/reuses can be added in this page, including reference to vocabulary extending DQV, tools serializing quality results in DQV, portals exposing data quality in DQV, and papers citing the DQV. Please feel free to add implementations/reuses that are not yet included. Do not hesitate to contact the DQV editors If you have any question or you have problem modifying this page.


Implementation/ Data Portal Description Development Status ( Planned, In Progress, Completed) Contact Persons Link
LQTA A tool implementing metrics for assessing linkset quality which serialized quality results into DQV In Progress Riccardo Albertoni - IMATI-CNR
LusTRE: Linked Thesaurus fRamework for Environment A portal exposing different interlinked thesauri. Quality of thesauri and their interlinks are going to be expressed with DQV In Progress Riccardo Albertoni - IMATI-CNR
RDFUnit RDFUnit- W3c DQV provides an API to generate DQV reports Completed Dimitris Kontokostas - AKSW Research Group @ University of Leipzig https://github.com/AKSW/RDFUnit/tree/master/rdfunit-w3c-dqv
LD Sniffer Linked Data Sniffer is a command line tool for assessing the accessibility metrics of Linked Data and serialize quality results into DQV In Progress Nandana Mihindukulasooriya - Ontology Engineering Group https://github.com/nandana/ld-sniffer
LUZZU LUZZU is a Quality Assessment Framework for Linked Open Datasets. It is a generic framework based on the Dataset Quality Ontology (daQ), allowing users to define their own quality metrics. It plans to add support for DQV either directly or as a side function (using a simple reasoner) that translates daQ to DQV. Planned Jeremy Debattista - Enterprise Information Systems - University of Bonn http://eis-bonn.github.io/Luzzu/
Mapping Qskos result to DQV Extending qskos project   to return quality in DQV In Progress Riccardo Albertoni - IMATI-CNR https://github.com/riccardoAlbertoni/qSKOS/tree/mappingResultsIntoDQV

Scientific Publications

Title Authors Conference/Journal Status (submitted/accepted /published) Link / DOI Note
A comprehensive quality model for Linked Data Filip Radulovic, Nandana Mihindukulasooriya, Raúl García-Castro, Asunción Gómez-Pérez Semantic Web Journal - Special issue on Quality Management of Semantic Web Assets Accepted http://www.semantic-web-journal.net/content/comprehensive-quality-model-linked-data-1 This paper extends the DQV
Linkset Quality Assessment for the thesaurus framework LusTRE Riccardo Albertoni, Monica De Martino, and Paola Podestà 10th International Conference on Metadata and Semantics Research published http://dx.doi.org/10.1007/978-3-319-49157-8_3 In the future work, This paper mentions DQV as vocabulary to encode the quality assessment
Enabling Combined Software and Data Engineering at Web-Scale: The ALIGNED Suite of Ontologies Monika Solanki , Bojan Božić, Markus Freudenberg, Dimitris Kontokostas, Christian Dirschl, Rob Brennan The Semantic Web – ISWC 2016 published http://dx.doi.org/10.1007/978-3-319-46547-0_21 DQV is deployed to report quality
Italian guidelines for valorizing the Public informative patrimony Agency for Digital Italy - Italian Council of Ministers Draft of the Official Guidelines provided for public consultation http://www.dati.gov.it/content/consultazione-sulle-linee-guida-nazionali-valorizzazione-patrimonio-informativo-pubblico DQV is recommended in order to provide metadata about quality.