GESIS Leibniz-Institut für Sozialwissenschaften: Homepage aufrufen
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Vita

I am a computer scientist working with big data, scalable and explainable machine learning, knowledge graphs, and deep learning.


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Forschung


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Veröffentlichungen

Publikation

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Zeitschriftenaufsatz

Allah, Heba, Said Fathallah, Jens Lehmann, and Hajira Jabeen. 2023. "Efficient Computation of Comprehensive Statistical information of Large-scale OWL Dataset: A Scalable Approach." Enterprise Information Systems 17 (7): 869–889. doi: https://doi.org/10.1080/17517575.2022.2062683.

Saad Razzaq, Muhammad, Fahad Maqbool, Muhammad Ilyas, and Hajira Jabeen. 2023. "EvoRecipes: A Generative Approach for Evolving Context-Aware Recipes." IEEE Access 11 74148 - 74164. doi: https://doi.org/10.1109/ACCESS.2023.3296144.

Maqbool, Fahad, Muhammad Saad Razzaq, Muhammad Ilyas, and Hajira Jabeen. 2023. "Graph colouring using evolutionary computation: A case study of blind naked mole‐rat algorithm." Expert Systems online first e13262. doi: https://doi.org/10.1111/exsy.13262.

Draschner, Carsten, Jens Lehmann, and Hajira Jabeen. 2023. "SimE4KG: Distributed and Explainable Multi-Modal Semantic Similarity Estimation for Knowledge Graphs." International Journal of Semantic Computing 17 (2): 199-221. doi: https://doi.org/10.1142/S1793351X23600012.

Ibrahim, Shimaa, Said Fathallah, Jens Lehmann, and Hajira Jabeen. 2023. "Toward the Multilingual Semantic Web: Multilingual Ontology Matching and Assessment." IEEE Access 11 8581-8599. doi: https://doi.org/10.1109/ACCESS.2023.3238871.

Ross-Hellauer, Tony, Thomas Klebel, Alexandra Bannach-Brown, Serge PJM Horbach, Hajira Jabeen, Natalia Manola, Teodor Metodiev, Haris Papageorgiou, Martin Reczko, Susanna-Assunta Sansone, Jesper Schneider, Joeri Tijdink, and Thanasis Vergoulis. 2022. "TIER2: enhancing Trust, Integrity and Efficiency in Research through next-level Reproducibility."

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Beitrag im Sammelwerk

Linzbach, Stephan, Tim Tressel, Laura Kallmeyer, Stefan Dietze, and Hajira Jabeen. 2023. "Decoding Prompt Syntax: Analysing its Impact on Knowledge Retrieval in Large Language Models." In WWW '23 Companion: Companion Proceedings of the ACM Web Conference 2023, edited by Ying Ding, Jie Tang, Juan Sequeda, Lora Aroyo, Carlos Castillo, and Geert-Jan Houben, 1145–1149. New York: ACM. doi: https://doi.org/10.1145/3543873.3587655.

Bakhshandegan Moghaddam, Farshad, Jens Lehmann, and Hajira Jabeen. 2023. "ExPAD: An Explainable Distributed Automatic Anomaly Detection Framework over Large KGs." In 2023 IEEE 17th International Conference on Semantic Computing (ICSC) : Feb. 1 2023 to Feb. 3 2023 Laguna Hills, CA, USA, edited by Dick Bulterman, Atsushi Kitazawa, David Ostrowski, and Phillip Sheu, 204-211. IEEE Computer Society. doi: https://doi.org/10.1109/ICSC56153.2023.00040.

Dietze, Stefan, Hajira Jabeen, Laura Kallmeyer, and Stephan Linzbach. 2023. "Towards syntax-aware pretraining and prompt engineering for knowledge retrieval from large language models." In KBC-LM + LM-KBC 2023, Joint proceedings of the KBC-LM workshop and the LM-KBC challenge @ ISWC 2023, edited by Simon Razniewski, Jan-Christoph Kalo, Sneha Singhania, and Jeff Z. Pan, CEUR workshop proceedings 3577. Aachen: RWTH. https://ceur-ws.org/Vol-3577/paper18.pdf.

Gangopadhyay, Susmita, Katarina Boland, Danilo Dessi, Stefan Dietze, Pavlos Fafalios, Andon Tchechmedjiev, Konstantin Todorov, and Hajira Jabeen. 2023. "Truth or Dare: Investigating Claims Truthfulness with ClaimsKG." In D2R2 2023: Linked Data-driven Resilience Research 2023: Proceedings of the Second International Workshop on Linked Data-driven Resilience Research 2023 co-located with Extended Semantic Web Conference 2023 (ESWC 2023), edited by Sebastian Tramp, Ricardo Usbeck, Natanael Arndt, Julia Holze, and Sören Auer, CEUR workshop proceedings 3401. Aachen: RWTH. https://ceur-ws.org/Vol-3401/paper7.pdf.

Bakhshandegan Moghaddam, Farshad, Jens Lehmann, and Hajira Jabeen. 2022. "DistAD: A Distributed Generic Anomaly Detection Framework over Large KGs." In IEEE 16th International Conference on Semantic Computing (ICSC), 2022, edited by IEEE Institute of Electrical and Electronics Engineers, 243 - 250. IEEE Computer Society. https://ieeexplore.ieee.org/document/9736323.

Draschner, Carsten, Hajira Jabeen, and Jens Lehmann. 2022. "Ethical and Sustainability Considerations for Knowledge Graph based Machine Learning." In IEEE International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), edited by David Ostrowski, Giovanni Pilato, Phillip Sheu, and Benjamin Wah, 53-60. IEEE. https://ieeexplore.ieee.org/document/9939282.

Draschner, Carsten, Jens Lehmann, and Hajira Jabeen. 2022. "SimE4KG: Distributed and Explainable Multi-Modal Semantic Similarity Estimation for Knowledge Graphs." In 2022 IEEE Fifth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), edited by David Ostrowski, Giovanni Pilato, Phillip Sheu, and Benjamin Wah, 1-8. IEEE. https://ieeexplore.ieee.org/document/9939143.

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Arbeits- und Diskussionspapier

Pan, Jeff Z., Simon Razniewski, Jan-Christoph Kalo, Sneha Singhania, Jiaoyan Chen, Stefan Dietze, Hajira Jabeen, Janna Omeliyanenko, and Damien Graux. 2023. Large language models and knowledge graphs: Opportunities and challenges. doi: https://doi.org/10.48550/arXiv.2308.06374.

Maqbool, Fahad, Hajira Jabeen, and Muhammad Saad Razzaq. 2023. The FAIRy Tale of Genetic Algorithms. 2023/4/29. ArXiV Preprint.

Dietze, Stefan, Hajira Jabeen, Laura Kallmeyer, and Stephan Linzbach. 2023. Towards syntax-aware pretraining and prompt engineering for knowledge retrieval from large language models. Joint proceedings of the KBC-LM workshop and the LM-KBC challenge @ ISWC 2023 Vol-3577. urn: urn:nbn:de:0074-3577-1.

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Daten/Software

Gangopadhyay, Susmita, Sebastian Schellhammer, Katarina Boland, Sascha Schüller, Konstantin Todorov, Andon Tchechmedjiev, Benjamin Zapilko, Pavlos Fafalios, Hajira Jabeen, and Stefan Dietze. 2023. ClaimsKG - A Knowledge Graph of Fact-Checked Claims (January, 2023). doi: https://doi.org/10.7802/2620.

Gangopadhyay, Susmita, Katarina Boland, Sascha Schüller, Torodov Konstantin, Andon Tchechmedjiev, Benjamin Zapilko, Pavlos Fafalios, Hajira Jabeen, and Stefan Dietze. 2022. ClaimsKG - A Knowledge Graph of Fact-Checked Claims (August, 2022). GESIS - Leibniz-Institute for the Social Sciences. Data File Version 1.0.0. doi: https://doi.org/10.7802/2469.

Vortrag

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Konferenzbeitrag

Biswas, Debanjali, Stephan Linzbach, Dimitar Dimitrov, Hajira Jabeen, and Stefan Dietze. 2023. "Broadening BERT vocabulary for Knowledge Graph Construction using Wikipedia2Vec: Poster Presentation." Joint proceedings of the KBC-LM workshop and the LM-KBC challenge @ ISWC 2023, 2023-11-06. https://www.ceur-ws.org/Vol-3577/paper6.pdf.

Linzbach, Stephan, Tim Tressel, Laura Kallmeyer, Stefan Dietze, and Hajira Jabeen. 2023. "Decoding Prompt Syntax: Analysing its Impact on Knowledge Retrieval in Large Language Models: In Companion Proceedings of the ACM Web Conference 2023." ACM Web Conference 2023, 2023-04-30. doi: https://doi.org/10.1145/3543873.3587655.

Gangopadhyay, Susmita, Katarina Boland, Danilo Dessi, Stefan Dietze, Pavlos Fafalios, Andon Tchechmedjiev, Konstantin Todorov, and Hajira Jabeen. 2023. "Truth or dare: Investigating claims truthfulness with claimskg." D2R2’23-Second International Workshop on Linked Data-driven Resilience Research, co-located with 20th Extended Semantic Web Conference 2023, 2023-05-28.