Dr. Mohamed Nadjib Mami left SDA. The profile below reflects the status at the point of his departure and is no longer updated.

Researcher
Enterprise Information Systems
Fraunhofer IAIS
Profiles: LinkedIn, Google Scholar, DBLP, Website
Room B3-236
Schloss Birlinghoven, 53757 Sankt Augustin, Germany
Short CV
Mohamed Nadjib Mami is a Researcher at the Enterprise Information Systems of the Fraunhofer IAIS.
Research Interests
- Big Data
- Data Management
- Heterogeneous Databases
- Linked Data
Projects
- Big Data Europe
- GraDAna
- Squerall
Publications
2021
Strategies for a Semantified Uniform Access to Large and Heterogeneous Data Sources PhD Thesis
University of Bonn, Germany, 2021.
2020
Semantic Data Integration for the SMT Manufacturing Process Using SANSA Stack Inproceedings
In: The Semantic Web: ESWC 2020 Satellite Events - ESWC 2020 Satellite Events, Heraklion, Crete, Greece, May 31 - June 4, 2020, Revised Selected Papers, pp. 307–311, Springer, 2020.
2019
Uniform Access to Multiform Data Lakes using Semantic Technologies Inproceedings
In: Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services, iiWAS 2019, Munich, Germany, December 2-4, 2019, pp. 313–322, ACM, 2019.
How to Feed the Squerall with RDF and Other Data Nuts? Inproceedings
In: Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, Industry, and Outrageous Ideas) co-located with 18th International Semantic Web Conference (ISWC 2019), Auckland, New Zealand, October 26-30, 2019, pp. 293–296, CEUR-WS.org, 2019.
Squerall: Virtual Ontology-Based Access to Heterogeneous and Large Data Sources Inproceedings
In: The Semantic Web - ISWC 2019 - 18th International Semantic Web Conference, Auckland, New Zealand, October 26-30, 2019, Proceedings, Part II, pp. 229–245, Springer, 2019.
Querying Data Lakes using Spark and Presto Inproceedings
In: The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019, pp. 3574–3578, ACM, 2019.
2018
DistLODStats: Distributed Computation of RDF Dataset Statistics Inproceedings
In: The Semantic Web - ISWC 2018 - 17th International Semantic Web Conference, Monterey, CA, USA, October 8-12, 2018, Proceedings, Part II, pp. 206–222, Springer, 2018.
STATisfy Me: What Are My Stats? Inproceedings
In: Proceedings of the ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, USA, October 8th - to - 12th, 2018, CEUR-WS.org, 2018.
Querying Interlinked Data by Bridging RDF Molecule Templates Journal Article
In: Trans. Large Scale Data Knowl. Centered Syst., vol. 39, pp. 1–42, 2018.
2017
MULDER: Querying the Linked Data Web by Bridging RDF Molecule Templates Inproceedings
In: Database and Expert Systems Applications - 28th International Conference, DEXA 2017, Lyon, France, August 28-31, 2017, Proceedings, Part I, pp. 3–18, Springer, 2017.
The BigDataEurope Platform - Supporting the Variety Dimension of Big Data Inproceedings
In: Web Engineering - 17th International Conference, ICWE 2017, Rome, Italy, June 5-8, 2017, Proceedings, pp. 41–59, Springer, 2017.
Large-scale storage and query processing for semantic sensor data Inproceedings
In: Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics, WIMS 2017, Amantea, Italy, June 19-22, 2017, pp. 8:1–8:12, ACM, 2017.
2016
Towards Semantification of Big Data Technology Inproceedings
In: Big Data Analytics and Knowledge Discovery - 18th International Conference, DaWaK 2016, Porto, Portugal, September 6-8, 2016, Proceedings, pp. 376–390, Springer, 2016.