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  • BIGOWL4DQ: Ontology-driven approach for Big Data quality meta-modelling, selection and reasoning

    18th December 2023






    Our colleagues José Antonio Cruz and Ismael Caballero, along with Cristobal Barba-González and Ismael Navas-García from the University of Málaga, and María Teresa Gómez-López and Ángel Jesús Varela-Vaca from the University of Seville, have published the article BIGOWL4DQ: Ontology-driven approach for Big Data quality meta-modelling, selection and reasoning in the Information and Software Technology journal. This journal has an impact factor of 3.9 and is classified as Q2 in the categories of Computer Science, Information System, and Computer Science, Software Engineering.

    The article presents an extension of the BigOWL ontology to describe and manage data quality aspects in analytical pipelines

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