M.Sc. Nora Abdelmageed

Research Associate / PhD Candidate Ernst-Abbe-Platz 2 , 07743 Jena , Room: 1211 +49 (0) 3641 9 46424 Join date: 2019-07-11

Curriculum Vitae

• Jul 2019 – Present: Research Associate | FUSION Group | Friedrich Schiller University Jena, Jena, Germany.
• Sep 2015 – Jul 2019: Assistant Lecturer | Faculty of Computer and Information Sciences | Ain Shams University, Cairo, Egypt.
• Apr 2017 – Sep 2018: Research Intern in three time intervals | FUSION Group | Friedrich-Schiller University Jena, Jena, Germany.
• Feb 2013 – Oct 2015: Teaching and Research Assistant | Faculty of Computer and Information Sciences | Ain Shams University, Cairo, Egypt.
• M. Sc. Computer Science | Faculty of Computer and Information | Ain Shams University, Cairo, Thesis Title: “Parallel Processing for Digital Image Enhancement”
• Sep 2008 – Jul 2012: B. Sc. Computer Science | Faculty of Computer and Information Sciences| Ain Shams University | Cairo, Egypt.

Publications

2021

A Data-driven Approach for Core Biodiversity Ontology Development.
Nora Abdelmageed, Alsayed Algergawy, Sheeba Samuel, Birgitta König-Ries
Third International Workshop on Semantics for Biodiversity, co-located with ICBO, 2021 15.9.2021

BiodivOnto: Towards a Core Ontology for Biodiversity
Nora Abdelmageed, Alsayed Algergawy, Sheeba Samuel and Birgitta Koenig-Ries
The Semantic Web: ESWC 2021 Satellite Events: poster and demo
4.6.2021

2020

JenTab: Matching Tabular Data to Knowledge Graphs
The 19th International Semantic Web Conference (ISWC) 2020
Virtual Conference 2.11.2020

Towards Transforming Tabular Datasets into Knowledge Graphs
Nora Abdelmageed
Extended Semantic Web Conference (ESWC) 2020
Crete, Greece 21.5.2020

Tag Me If You Can! Semantic Annotation of Biodiversity Metadata with the QEMP Corpus and the BiodivTagger
Felicitas Löffler, Nora Abdelmageed, Samira Bablou, Pawandeep Kaur, Birgitta König-Ries
Language Resource and Evaluation Conference (LREC) 2020
Marseille, France 11.5.2020

Current Projects

A virtual “Werkstatt” for digitization in the sciences Data is central in almost all scientific disciplines nowadays. Furthermore, intelligent systems have developed rapidly in recent years, so that in many disciplines the expectation is emerging that with the help of intelligent systems, significant challenges can be overcome and science can be done in completely new ways. In order for this to succeed, however, first, fundamental research in computer science is still required, and, second, generic tools must be developed on which specialized solutions can be built. A virtual manufactory for digitization in the sciences, the “Werkstatt”, which is being established at the Michael Stifel Center Jena (MSCJ) for data-driven and simulation science is a collaborative project funded by the Carl Zeiss Foundation to address fundamental questions in computer science and applications. The Werkstatt focuses on three key areas, which include generic tools for machine learning, knowledge generation using machine learning processes, and semantic methods for the data life cycle, as well as the application of these topics in different disciplines. Core and pilot projects address the key aspects of the topics and form the basis for sustainable work in the Werkstatt. Read More