Dr. rer. nat. Mohamed Ahmed Sherif

Data Science

Member - Research Associate

E-Mail:
mohamed.sherif@uni-paderborn.de
sherif@informatik.uni-leipzig.de
Phone:
+49 5251 60-1708
Web:
Homepage
Homepage (Extern)
Office Address:
Technologiepark 6
33100 Paderborn
Room:
TP6.3.306
Office hours:

Dr. rer. nat. Mohamed Ahmed Sherif

Data Science group, Department of Computer Science, University of Paderborn

Room TP6.3.306,
Technologiepark 6, 33100 Paderborn

Tel: +49 (0) 5251 60-1708

DICE Data Science Group

http://cs.uni-paderborn.de/ds 

http://aksw.org/MohamedSherif

Research

Latest Projects

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Publications

Latest Publications

Efficient Evaluation of Conjunctive Regular Path Queries Using Multi-way Joins

N. Karalis, A. Bigerl, L. Heidrich, M. Sherif, A.-C. Ngonga Ngomo, in: ESWC, 2024.

RELD: A Knowledge Graph of Relation Extraction Datasets

M. Ali, M. Saleem, D. Moussallem, M. Sherif, A.-C. Ngonga Ngomo, RELD: A Knowledge Graph of Relation Extraction Datasets, LibreCat University, 2023.

DOI
Configuration and Evaluation

J.M. Hanselle, E. Hüllermeier, F. Mohr, A.-C. Ngonga Ngomo, M. Sherif, A. Tornede, M.D. Wever, in: C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, Heinz Nixdorf Institut, Universität Paderborn, Paderborn, 2023, pp. 85–104.

DOI PDF
COBALT: A Content-Based Similarity Approach for Link Discovery over Geospatial Knowledge Graphs

A. Becker, A.F.A. Ahmed, M. Sherif, A.-C. Ngonga Ngomo, in: SEMANTiCS, 2023.

Using Pre-trained Language Models for Abstractive DBpedia Summarization: A Comparative Study

H.M.A. Zahera, F. Vitiugin, M. Sherif, C. Castillo, A.-C. Ngonga Ngomo, in: SEMANTiCS, 2023.

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