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Axel-Cyrille Ngonga Ngomo
Researcher at University of Paderborn
Publications - 342
Citations - 8390
Axel-Cyrille Ngonga Ngomo is an academic researcher from University of Paderborn. The author has contributed to research in topics: RDF & Linked data. The author has an hindex of 43, co-authored 310 publications receiving 6619 citations. Previous affiliations of Axel-Cyrille Ngonga Ngomo include Leipzig University & Association for Computing Machinery.
Papers
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Journal ArticleDOI
Knowledge Graphs
Aidan Hogan,Eva Blomqvist,Michael Cochez,Claudia d'Amato,Gerard de Melo,Claudio Gutierrez,José Emilio Labra Gayo,Sabrina Kirrane,Sebastian Neumaier,Axel Polleres,Roberto Navigli,Axel-Cyrille Ngonga Ngomo,Sabbir M. Rashid,Anisa Rula,Lukas Schmelzeisen,Juan F. Sequeda,Steffen Staab,Antoine Zimmermann +17 more
TL;DR: The historical events that lead to the interweaving of data and knowledge are tracked to help improve knowledge and understanding of the world around us.
Proceedings ArticleDOI
Template-based question answering over RDF data
Christina Unger,Lorenz Bühmann,Jens Lehmann,Axel-Cyrille Ngonga Ngomo,Daniel Gerber,Philipp Cimiano +5 more
TL;DR: A novel approach that relies on a parse of the question to produce a SPARQL template that directly mirrors the internal structure of theQuestion answering system, which is then instantiated using statistical entity identification and predicate detection.
Journal ArticleDOI
An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition
George Tsatsaronis,Georgios Balikas,Prodromos Malakasiotis,Ioannis Partalas,Matthias Zschunke,Michael R. Alvers,Dirk Weissenborn,Anastasia Krithara,Sergios Petridis,Dimitris Polychronopoulos,Yannis Almirantis,John Pavlopoulos,Nicolas Baskiotis,Patrick Gallinari,Thierry Artières,Axel-Cyrille Ngonga Ngomo,Norman Heino,Eric Gaussier,Liliana Barrio-Alvers,Michael Schroeder,Ion Androutsopoulos,Georgios Paliouras +21 more
TL;DR: Overall, BioASQ helped obtain a unified view of how techniques from text classification, semantic indexing, document and passage retrieval, question answering, and text summarization can be combined to allow biomedical experts to obtain concise, user-understandable answers to questions reflecting their real information needs.
Proceedings ArticleDOI
LIMES: a time-efficient approach for large-scale link discovery on the web of data
TL;DR: This paper presents and evaluates LIMES, a novel time-efficient approach for link discovery in metric spaces that utilizes the mathematical characteristics of metric spaces during the mapping process to filter out a large number of those instance pairs that do not suffice the mapping conditions.
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.