@inproceedings{24729,
  author       = {{G. Athreya, Ram and Kona Bansal, Srividya and Ngonga Ngomo, Axel-Cyrille and Usbeck, Ricardo}},
  booktitle    = {{15th {IEEE} International Conference on Semantic Computing, {ICSC} 2021, Laguna Hills, CA, USA, January 27-29, 2021}},
  pages        = {{195--198}},
  publisher    = {{{IEEE}}},
  title        = {{{Template-based Question Answering using Recursive Neural Networks}}},
  doi          = {{10.1109/ICSC50631.2021.00041}},
  year         = {{2021}},
}

@inproceedings{24730,
  author       = {{Jalota, Rricha and Vollmers, Daniel and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{15th {IEEE} International Conference on Semantic Computing, {ICSC} 2021, Laguna Hills, CA, USA, January 27-29, 2021}},
  pages        = {{221--226}},
  publisher    = {{{IEEE}}},
  title        = {{{LAUREN - Knowledge Graph Summarization for Question Answering}}},
  doi          = {{10.1109/ICSC50631.2021.00047}},
  year         = {{2021}},
}

@inproceedings{24731,
  author       = {{Wilke, Adrian and Bannoura, Arwa and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{15th {IEEE} International Conference on Semantic Computing, {ICSC} 2021, Laguna Hills, CA, USA, January 27-29, 2021}},
  pages        = {{241--247}},
  publisher    = {{{IEEE}}},
  title        = {{{Relicensing Combined Datasets}}},
  doi          = {{10.1109/ICSC50631.2021.00050}},
  year         = {{2021}},
}

@inproceedings{24732,
  author       = {{Röder, Michael and de Souza, Geraldo and Kuchelev, Denis and Amer Desouki, Abdelmoneim and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{15th {IEEE} International Conference on Semantic Computing, {ICSC} 2021, Laguna Hills, CA, USA, January 27-29, 2021}},
  pages        = {{272--279}},
  publisher    = {{{IEEE}}},
  title        = {{{ORCA - a Benchmark for Data Web Crawlers}}},
  doi          = {{10.1109/ICSC50631.2021.00054}},
  year         = {{2021}},
}

@inproceedings{25203,
  author       = {{Alexandra Morim da Silva, Ana and Röder, Michael and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{The Semantic Web - {ISWC} 2021 - 20th International Semantic Web Conference, {ISWC} 2021, Virtual Event, October 24-28, 2021, Proceedings}},
  editor       = {{Hotho, Andreas and Blomqvist, Eva and Dietze, Stefan and Fokoue, Achille and Ding, Ying and M. Barnaghi, Payam and Haller, Armin and Dragoni, Mauro and Alani, Harith}},
  pages        = {{270--286}},
  publisher    = {{Springer}},
  title        = {{{Using Compositional Embeddings for Fact Checking}}},
  doi          = {{10.1007/978-3-030-88361-4\_16}},
  volume       = {{12922}},
  year         = {{2021}},
}

@inproceedings{25206,
  author       = {{Demir, Caglar and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{The Semantic Web - 18th International Conference, {ESWC} 2021, Virtual Event, June 6-10, 2021, Proceedings}},
  editor       = {{Verborgh, Ruben and Hose, Katja and Paulheim, Heiko and Champin, Pierre{-}Antoine and Maleshkova, Maria and Corcho, Oscar and Ristoski, Petar and Alam, Mehwish}},
  pages        = {{409--424}},
  publisher    = {{Springer}},
  title        = {{{Convolutional Complex Knowledge Graph Embeddings}}},
  doi          = {{10.1007/978-3-030-77385-4\_24}},
  volume       = {{12731}},
  year         = {{2021}},
}

@inproceedings{25208,
  author       = {{Speck, Ren{\'{e}} and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{15th {IEEE} International Conference on Semantic Computing, {ICSC} 2021, Laguna Hills, CA, USA, January 27-29, 2021}},
  pages        = {{298--305}},
  publisher    = {{{IEEE}}},
  title        = {{{Twitter Network Mimicking for Data Storage Benchmarking}}},
  doi          = {{10.1109/ICSC50631.2021.00057}},
  year         = {{2021}},
}

@article{25209,
  author       = {{Demir, Caglar and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}},
  journal      = {{CoRR}},
  title        = {{{A shallow neural model for relation prediction}}},
  volume       = {{abs/2101.09090}},
  year         = {{2021}},
}

@article{25210,
  author       = {{Ali, Waqas and Saleem, Muhammad and Yao, Bin and Hogan, Aidan and Ngonga Ngomo, Axel-Cyrille}},
  journal      = {{CoRR}},
  title        = {{{A Survey of RDF Stores \& SPARQL Engines for Querying Knowledge Graphs}}},
  volume       = {{abs/2102.13027}},
  year         = {{2021}},
}

@article{25211,
  author       = {{Vollmers, Daniel and Jalota, Rricha and Moussallem, Diego and Topiwala, Hardik and Ngonga Ngomo, Axel-Cyrille and Usbeck, Ricardo}},
  journal      = {{CoRR}},
  title        = {{{Knowledge Graph Question Answering using Graph-Pattern Isomorphism}}},
  volume       = {{abs/2103.06752}},
  year         = {{2021}},
}

@article{25213,
  author       = {{Sharma, Arnab and Demir, Caglar and Ngonga Ngomo, Axel-Cyrille and Wehrheim, Heike}},
  journal      = {{CoRR}},
  title        = {{{MLCheck- Property-Driven Testing of Machine Learning Models}}},
  volume       = {{abs/2105.00741}},
  year         = {{2021}},
}

@article{25214,
  author       = {{Wilke, Adrian and Ngonga Ngomo, Axel-Cyrille}},
  journal      = {{CoRR}},
  title        = {{{Open Data Portal Germany (OPAL) Projektergebnisse}}},
  volume       = {{abs/2105.03161}},
  year         = {{2021}},
}

@article{25215,
  author       = {{Demir, Caglar and Ngonga Ngomo, Axel-Cyrille}},
  journal      = {{CoRR}},
  title        = {{{Out-of-Vocabulary Entities in Link Prediction}}},
  volume       = {{abs/2105.12524}},
  year         = {{2021}},
}

@article{25217,
  author       = {{Demir, Caglar and Ngonga Ngomo, Axel-Cyrille}},
  journal      = {{CoRR}},
  title        = {{{DRILL- Deep Reinforcement Learning for Refinement Operators in ALC}}},
  volume       = {{abs/2106.15373}},
  year         = {{2021}},
}

@inproceedings{28350,
  abstract     = {{In recent years, we observe an increasing amount of software with machine learning components being deployed. This poses the question of quality assurance for such components: how can we validate whether specified requirements are fulfilled by a machine learned software? Current testing and verification approaches either focus on a single requirement (e.g., fairness) or specialize on a single type of machine learning model (e.g., neural networks).
In this paper, we propose property-driven testing of machine learning models. Our approach MLCheck encompasses (1) a language for property specification, and (2) a technique for systematic test case generation. The specification language is comparable to property-based testing languages. Test case generation employs advanced verification technology for a systematic, property dependent construction of test suites, without additional user supplied generator functions. We evaluate MLCheck using requirements and data sets from three different application areas (software
discrimination, learning on knowledge graphs and security). Our evaluation shows that despite its generality MLCheck can even outperform specialised testing approaches while having a comparable runtime}},
  author       = {{Sharma, Arnab and Demir, Caglar and Ngonga Ngomo, Axel-Cyrille and Wehrheim, Heike}},
  booktitle    = {{Proceedings of the 20th IEEE International Conference on Machine Learning and Applications (ICMLA)}},
  publisher    = {{IEEE}},
  title        = {{{MLCHECK–Property-Driven Testing of Machine Learning Classifiers}}},
  year         = {{2021}},
}

@article{24719,
  author       = {{M. Zahera, Hamada and Jalota, Rricha and Ahmed Sherif, Mohamed and Ngonga Ngomo, Axel-Cyrille}},
  journal      = {{{IEEE} Access}},
  pages        = {{118861--118870}},
  title        = {{{I-AID: Identifying Actionable Information From Disaster-Related Tweets}}},
  doi          = {{10.1109/ACCESS.2021.3107812}},
  volume       = {{9}},
  year         = {{2021}},
}

@article{24720,
  author       = {{Hogan, Aidan and Blomqvist, Eva and Cochez, Michael and d'Amato, Claudia and de Melo, Gerard and Guti{\'{e}}rrez, Claudio and Kirrane, Sabrina and Emilio Labra Gayo, Jos{\'{e}} and Navigli, Roberto and Neumaier, Sebastian and Ngonga Ngomo, Axel-Cyrille and Polleres, Axel and M. Rashid, Sabbir and Rula, Anisa and Schmelzeisen, Lukas and F. Sequeda, Juan and Staab, Steffen and Zimmermann, Antoine}},
  journal      = {{{ACM} Comput. Surv.}},
  number       = {{4}},
  pages        = {{71:1--71:37}},
  title        = {{{Knowledge Graphs}}},
  doi          = {{10.1145/3447772}},
  volume       = {{54}},
  year         = {{2021}},
}

@inbook{29046,
  author       = {{Feldhans, Robert and Wilke, Adrian and Heindorf, Stefan and Shaker, Mohammad Hossein and Hammer, Barbara and Ngonga Ngomo, Axel-Cyrille and Hüllermeier, Eyke}},
  booktitle    = {{Intelligent Data Engineering and Automated Learning – IDEAL 2021}},
  isbn         = {{9783030916077}},
  issn         = {{0302-9743}},
  title        = {{{Drift Detection in Text Data with Document Embeddings}}},
  doi          = {{10.1007/978-3-030-91608-4_11}},
  year         = {{2021}},
}

@inproceedings{29047,
  author       = {{Wilke, Adrian and Bannoura, Arwa and Ngonga Ngomo, Axel-Cyrille Ngonga}},
  booktitle    = {{2021 IEEE 15th International Conference on Semantic Computing (ICSC)}},
  pages        = {{241--247}},
  title        = {{{Relicensing Combined Datasets}}},
  doi          = {{10.1109/ICSC50631.2021.00050}},
  year         = {{2021}},
}

@inproceedings{29486,
  author       = {{Firmansyah, Asep Fajar and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{Proceedings of the 11th on Knowledge Capture Conference}},
  isbn         = {{978-1-4503-8457-5}},
  pages        = {{73–80}},
  publisher    = {{ACM}},
  title        = {{{GATES: Using Graph Attention Networks for Entity Summarization}}},
  doi          = {{10.1145/3460210.3493574}},
  year         = {{2021}},
}