Unsere Mitarbeitenden

Hajira Jabeen
Knowledge Technologies for the Social SciencesBig Data Analytics
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+49 (0221) 47694-517
Hajira•Jabeen[at]gesis•org
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Forschung
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Veröffentlichungen
Publikation
Nach obenZeitschriftenaufsatz
Allah, Heba, Said Fathallah, Jens Lehmann, and Hajira Jabeen. 2022. "Efficient Computation of Comprehensive Statistical information of Large-scale OWL Dataset: A Scalable Approach." Enterprise Information Systems online first. doi: https://doi.org/10.1080/17517575.2022.2062683.
Nach obenBeitrag im Sammelwerk
Bakhshandegan Moghaddam, Farshad, Jens Lehmann, and Hajira Jabeen. 2023. "ExPAD: An Explainable Distributed Automatic Anomaly Detection Framework over Large KGs." In IEEE 17th International Conference on Semantic Computing (ICSC), 2023, IEEE Computer Society.
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.