M
Mohamed Morsey
Researcher at University of Amsterdam
Publications - 14
Citations - 3562
Mohamed Morsey is an academic researcher from University of Amsterdam. The author has contributed to research in topics: SPARQL & RDF. The author has an hindex of 8, co-authored 14 publications receiving 2850 citations. Previous affiliations of Mohamed Morsey include Leipzig University.
Papers
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Journal ArticleDOI
DBpedia - A Large-scale, Multilingual Knowledge Base Extracted from Wikipedia
Jens Lehmann,Robert Isele,Max Jakob,Anja Jentzsch,Dimitris Kontokostas,Pablo N. Mendes,Sebastian Hellmann,Mohamed Morsey,Patrick van Kleef,Sören Auer,Sören Auer,Christian Bizer +11 more
TL;DR: An overview of the DBpedia community project is given, including its architecture, technical implementation, maintenance, internationalisation, usage statistics and applications, including DBpedia one of the central interlinking hubs in the Linked Open Data (LOD) cloud.
Book ChapterDOI
DBpedia SPARQL benchmark: performance assessment with real queries on real data
TL;DR: It is argued that a pure SPARQL benchmark is more useful to compare existing triple stores and provide results for the popular triple store implementations Virtuoso, Sesame, Jena-TDB, and BigOWLIM.
Proceedings ArticleDOI
User-driven quality evaluation of DBpedia
Amrapali Zaveri,Dimitris Kontokostas,Mohamed Ahmed Sherif,Lorenz Bühmann,Mohamed Morsey,Sören Auer,Jens Lehmann +6 more
TL;DR: This study aims to assess the quality of this sample of DBpedia resources and adopt an agile methodology to improve the quality in future versions by regularly providing feedback to the DBpedia maintainers.
Journal ArticleDOI
DBpedia and the live extraction of structured data from Wikipedia
TL;DR: DBpedia‐Live publishes the newly added/deleted triples in files, in order to enable synchronization between the DBpedia endpoint and other DBpedia mirrors.
Book ChapterDOI
DeFacto - deep fact validation
TL;DR: DeFacto (Deep Fact Validation) --- an algorithm for validating facts by finding trustworthy sources by supplying the user with relevant excerpts of webpages as well as useful additional information including a score for the confidence DeFacto has in the correctness of the input fact.