D
Dimitris Kontokostas
Researcher at Leipzig University
Publications - 50
Citations - 3981
Dimitris Kontokostas is an academic researcher from Leipzig University. The author has contributed to research in topics: Linked data & RDF. The author has an hindex of 16, co-authored 50 publications receiving 3202 citations. Previous affiliations of Dimitris Kontokostas include Aristotle University of Thessaloniki.
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Book
Validating RDF Data
TL;DR: This book introduces data validation and describes its practical use in day-to-day data exchange, using Web addresses as identifiers for data elements enables the construction of distributed databases on a global scale.
Journal ArticleDOI
Internationalization of Linked Data: The case of the Greek DBpedia edition
Dimitris Kontokostas,Charalampos Bratsas,Sören Auer,Sebastian Hellmann,Ioannis Antoniou,George Metakides +5 more
TL;DR: Best practices to allow the DBpedia community to easily generate, maintain and properly interlink language-specific DBpedia editions are established and can be applied for the publication of Linked Data in non-Latin languages in general.
Book ChapterDOI
Assessing and Refining Mappingsto RDF to Improve Dataset Quality
Anastasia Dimou,Dimitris Kontokostas,Markus Freudenberg,Ruben Verborgh,Jens Lehmann,Erik Mannens,Sebastian Hellmann,Rik Van de Walle +7 more
TL;DR: An incremental, iterative and uniform validation workflow for rdf datasets stemming originally from semi-structured data, focusing on assessing and improving their mappings is suggested, which significantly improves the overall quality of an rdf dataset in the observed cases.
Journal ArticleDOI
Detecting Linked Data quality issues via crowdsourcing: A DBpedia study
TL;DR: The results show that a combination of the two styles of crowdsourcing is likely to achieve more efficient results than each of them used in isolation, and that human computation is a promising and affordable way to enhance the quality of Linked Data.
Proceedings ArticleDOI
DataID: towards semantically rich metadata for complex datasets
Martin Brümmer,Ciro Baron,Ivan Ermilov,Markus Freudenberg,Dimitris Kontokostas,Sebastian Hellmann +5 more
TL;DR: This paper proposes DataID, a best-practice for LOD dataset descriptions which utilize RDF files hosted together with the datasets, under the same domain, based on the widely used DCAT and VoID vocabularies.