Dr. rer. nat. Mohamed Ahmed Sherif

Data Science / Heinz Nixdorf Institut

Postdoc

E-Mail:
mohamed.sherif@uni-paderborn.de
Telefon:
+49 5251 60-1708
ORCID:
https://orcid.org/0000-0002-9927-2203
Web:
Homepage
Homepage (Extern)
Social Media:
Büro­anschrift:
Fürstenallee 11
33102 Paderborn
Raum:
F1.301

Forschung

Aktuelle Projekte

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Publikationen

Aktuelle Publikationen

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.


Generating SPARQL from Natural Language Using Chain-of-Thoughts Prompting

H.M.A. Zahera, A. Manzoor, M. Sherif, D. Moussallem, A.-C. Ngonga Ngomo, in: SEMANTiCS, Amsterdam, Netherlands, 2024.


Explainable Integration of?Knowledge Graphs Using Large Language Models

A.F.A. Ahmed, A.F. Firmansyah, M. Sherif, D. Moussallem, A.-C. Ngonga Ngomo, in: Natural Language Processing and Information Systems, Springer Nature Switzerland, Cham, 2023.

DOI

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.


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, Universit?t Paderborn, 2023, pp. 85–104.

DOI

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