@inproceedings{65494,
  author       = {{Manzoor, Ali and Zahera, Hammada M. and Saleem, Muhammad and Mahmood, Yasir and Speck, René and Khan, Hashim and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{The Semantic Web – 23rd European Semantic Web Conference, ESWC 2026, Dubrovnik , Croatia, May 10-14, 2026, Proceedings}},
  keywords     = {{dice hamada hashim kiakadamie mahmood manzoor ngonga rene sail saleem}},
  title        = {{{Document-level Relation Extraction using Reinforcement Learning with Knowledge Graph Feedback}}},
  year         = {{2026}},
}

@inproceedings{63027,
  author       = {{Ihtassine, Reda and Firmansyah, Asep Fajar and Srivastava, Nikit and Manzoor, Ali and Ngonga Ngomo, Axel-Cyrille and Sherif, Mohamed Ahmed}},
  booktitle    = {{Proceedings of the Knowledge Capture Conference 2025}},
  publisher    = {{ACM}},
  title        = {{{NL2LS: LLM-based Automatic Linking of Knowledge Graphs}}},
  doi          = {{10.1145/3731443.3771374}},
  year         = {{2025}},
}

@article{61134,
  author       = {{Manzoor, Ali and Speck, René and Zahera, Hamada Mohamed Abdelsamee and Saleem, Muhammad and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}},
  issn         = {{2169-3536}},
  journal      = {{IEEE Access}},
  pages        = {{1--1}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Multilingual Relation Extraction - A Survey}}},
  doi          = {{10.1109/access.2025.3604258}},
  year         = {{2025}},
}

@inproceedings{55095,
  author       = {{Manzoor, Ali and Sohail Nisar, Muhammad and Muhammad, Saleem and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{NLDB24}},
  keywords     = {{Nisar SFB-TRR Saleem climate_bOWL colide dice enexa kiam manzoor moussallem ngonga}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Enhancing Relation Extraction Through Augmented Data: Large Language Models Unleashed}}},
  year         = {{2024}},
}

@inproceedings{55094,
  author       = {{Zahera, Hamada Mohamed Abdelsamee and Manzoor, Ali and Sherif, Mohamed and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{SEMANTiCS}},
  keywords     = {{TRR318 climatebowl colide dice enexa kiam manzoor moussallem ngonga sailproject sherif simba zahera}},
  title        = {{{Generating SPARQL from Natural Language Using Chain-of-Thoughts Prompting}}},
  year         = {{2024}},
}

@inproceedings{54581,
  author       = {{Manzoor, Ali and Saleem, Muhammad and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{2023 IEEE 17th International Conference on Semantic Computing (ICSC)}},
  pages        = {{274–277}},
  title        = {{{Unsupervised Relation Extraction with Sentence level Distributional Semantics}}},
  year         = {{2023}},
}

@inbook{54588,
  author       = {{Manzoor, Ali and Saleem, Muhammad and Moussallem, Diego and Sherif, Mohamed and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{The Semantic Web}},
  isbn         = {{9783031334542}},
  issn         = {{0302-9743}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{RELD: A Knowledge Graph of Relation Extraction Datasets}}},
  doi          = {{10.1007/978-3-031-33455-9_20}},
  year         = {{2023}},
}

@inbook{54585,
  author       = {{Manzoor, Ali and Saleem, Muhammad and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{The Semantic Web – ISWC 2022}},
  isbn         = {{9783031194320}},
  issn         = {{0302-9743}},
  publisher    = {{Springer International Publishing}},
  title        = {{{REBench: Microbenchmarking Framework for Relation Extraction Systems}}},
  doi          = {{10.1007/978-3-031-19433-7_37}},
  year         = {{2022}},
}

@inbook{54586,
  author       = {{Manzoor, Ali and Saleem, Muhammad and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{The Semantic Web: ESWC 2021 Satellite Events}},
  isbn         = {{9783030804176}},
  issn         = {{0302-9743}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Unsupervised Relation Extraction Using Sentence Encoding}}},
  doi          = {{10.1007/978-3-030-80418-3_25}},
  year         = {{2021}},
}

@inbook{54587,
  abstract     = {{<jats:p>With significant growth in RDF datasets, application developers demand online availability of these datasets to meet the end users’ expectations. Various interfaces are available for querying RDF data using SPARQL query language. Studies show that SPARQL end-points may provide high query runtime performance at the cost of low availability. For example, it has been observed that only 32.2% of public endpoints have a monthly uptime of 99–100%. One possible reason for this low availability is the high workload experienced by these SPARQL endpoints. As complete query execution is performed at server side (i.e., SPARQL endpoint), this high query processing workload may result in performance degradation or even a service shutdown. We performed extensive experiments to show the query processing capabilities of well-known triple stores by using their SPARQL endpoints. In particular, we stressed these triple stores with multiple parallel requests from different querying agents. Our experiments revealed the maximum query processing capabilities of these triple stores after which point they lead to service shutdowns. We hope this analysis will help triple store developers to design workload-aware RDF engines to improve the availability of their public endpoints with high throughput.</jats:p>}},
  author       = {{Khan, Hashim and Manzoor, Ali and Ngonga Ngomo, Axel-Cyrille and Saleem, Muhammad}},
  booktitle    = {{Studies on the Semantic Web}},
  issn         = {{1868-1158}},
  publisher    = {{IOS Press}},
  title        = {{{When is the Peak Performance Reached? An Analysis of RDF Triple Stores}}},
  doi          = {{10.3233/ssw210042}},
  year         = {{2021}},
}