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Athreya, Ram, Srividya Kona Bansal, Axel-Cyrille Ngonga Ngomo, and Ricardo Usbeck. “Template-Based Question Answering Using Recursive Neural Networks.” In <i>15th {IEEE} International Conference on Semantic Computing, {ICSC} 2021, Laguna Hills, CA, USA, January 27-29, 2021</i>, 195–98. {IEEE}, 2021. <a href=\"https://doi.org/10.1109/ICSC50631.2021.00041\">https://doi.org/10.1109/ICSC50631.2021.00041</a>."},"title":"Template-based Question Answering using Recursive Neural Networks","doi":"10.1109/ICSC50631.2021.00041","date_updated":"2022-01-06T06:56:33Z","publisher":"{IEEE}","author":[{"first_name":"Ram","last_name":"G. Athreya","full_name":"G. 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Alam (Eds.), The Semantic Web - 18th International Conference, {ESWC} 2021, Virtual Event, June 6-10, 2021, Proceedings, Springer, 2021, pp. 409–424.","bibtex":"@inproceedings{Demir_Ngonga Ngomo_2021, series={Lecture Notes in Computer Science}, title={Convolutional Complex Knowledge Graph Embeddings}, volume={12731}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-77385-4\\_24\">10.1007/978-3-030-77385-4\\_24</a>}, booktitle={The Semantic Web - 18th International Conference, {ESWC} 2021, Virtual Event, June 6-10, 2021, Proceedings}, publisher={Springer}, author={Demir, Caglar and Ngonga Ngomo, Axel-Cyrille}, 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}, year={2021}, pages={409–424}, collection={Lecture Notes in Computer Science} }","mla":"Demir, Caglar, and Axel-Cyrille Ngonga Ngomo. “Convolutional Complex Knowledge Graph Embeddings.” <i>The Semantic Web - 18th International Conference, {ESWC} 2021, Virtual Event, June 6-10, 2021, Proceedings</i>, edited by Ruben Verborgh et al., vol. 12731, Springer, 2021, pp. 409–24, doi:<a href=\"https://doi.org/10.1007/978-3-030-77385-4\\_24\">10.1007/978-3-030-77385-4\\_24</a>."},"intvolume":"     12731","page":"409-424","year":"2021","doi":"10.1007/978-3-030-77385-4\\_24","title":"Convolutional Complex Knowledge Graph Embeddings","author":[{"full_name":"Demir, Caglar","id":"43817","last_name":"Demir","first_name":"Caglar"},{"last_name":"Ngonga Ngomo","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","first_name":"Axel-Cyrille"}],"date_created":"2021-10-01T06:45:57Z","volume":12731,"date_updated":"2022-01-06T06:56:55Z","publisher":"Springer"},{"citation":{"bibtex":"@inproceedings{Speck_Moussallem_Ngonga Ngomo_2021, title={Twitter Network Mimicking for Data Storage Benchmarking}, DOI={<a href=\"https://doi.org/10.1109/ICSC50631.2021.00057\">10.1109/ICSC50631.2021.00057</a>}, booktitle={15th {IEEE} International Conference on Semantic Computing, {ICSC} 2021, Laguna Hills, CA, USA, January 27-29, 2021}, publisher={{IEEE}}, author={Speck, Ren{\\’{e}} and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}, year={2021}, pages={298–305} }","short":"R. Speck, D. Moussallem, A.-C. Ngonga Ngomo, in: 15th {IEEE} International Conference on Semantic Computing, {ICSC} 2021, Laguna Hills, CA, USA, January 27-29, 2021, {IEEE}, 2021, pp. 298–305.","mla":"Speck, Ren{\\’{e}}, et al. “Twitter Network Mimicking for Data Storage Benchmarking.” <i>15th {IEEE} International Conference on Semantic Computing, {ICSC} 2021, Laguna Hills, CA, USA, January 27-29, 2021</i>, {IEEE}, 2021, pp. 298–305, doi:<a href=\"https://doi.org/10.1109/ICSC50631.2021.00057\">10.1109/ICSC50631.2021.00057</a>.","apa":"Speck, R., Moussallem, D., &#38; Ngonga Ngomo, A.-C. (2021). Twitter Network Mimicking for Data Storage Benchmarking. <i>15th {IEEE} International Conference on Semantic Computing, {ICSC} 2021, Laguna Hills, CA, USA, January 27-29, 2021</i>, 298–305. <a href=\"https://doi.org/10.1109/ICSC50631.2021.00057\">https://doi.org/10.1109/ICSC50631.2021.00057</a>","ieee":"R. Speck, D. Moussallem, and A.-C. 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A shallow neural model for relation prediction. <i>CoRR</i>, <i>abs/2101.09090</i>."},"year":"2021"},{"date_created":"2021-10-01T06:50:50Z","author":[{"full_name":"Ali, Waqas","last_name":"Ali","first_name":"Waqas"},{"last_name":"Saleem","full_name":"Saleem, Muhammad","first_name":"Muhammad"},{"first_name":"Bin","last_name":"Yao","full_name":"Yao, Bin"},{"last_name":"Hogan","full_name":"Hogan, Aidan","first_name":"Aidan"},{"last_name":"Ngonga Ngomo","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","first_name":"Axel-Cyrille"}],"volume":"abs/2102.13027","date_updated":"2022-01-06T06:56:55Z","title":"A Survey of RDF Stores \\& SPARQL Engines for Querying Knowledge Graphs","citation":{"apa":"Ali, W., Saleem, M., Yao, B., Hogan, A., &#38; Ngonga Ngomo, A.-C. (2021). A Survey of RDF Stores \\&#38; SPARQL Engines for Querying Knowledge Graphs. <i>CoRR</i>, <i>abs/2102.13027</i>.","bibtex":"@article{Ali_Saleem_Yao_Hogan_Ngonga Ngomo_2021, title={A Survey of RDF Stores \\&#38; SPARQL Engines for Querying Knowledge Graphs}, volume={abs/2102.13027}, journal={CoRR}, author={Ali, Waqas and Saleem, Muhammad and Yao, Bin and Hogan, Aidan and Ngonga Ngomo, Axel-Cyrille}, year={2021} }","mla":"Ali, Waqas, et al. “A Survey of RDF Stores \\&#38; SPARQL Engines for Querying Knowledge Graphs.” <i>CoRR</i>, vol. abs/2102.13027, 2021.","short":"W. Ali, M. Saleem, B. Yao, A. Hogan, A.-C. Ngonga Ngomo, CoRR abs/2102.13027 (2021).","ama":"Ali W, Saleem M, Yao B, Hogan A, Ngonga Ngomo A-C. A Survey of RDF Stores \\&#38; SPARQL Engines for Querying Knowledge Graphs. <i>CoRR</i>. 2021;abs/2102.13027.","chicago":"Ali, Waqas, Muhammad Saleem, Bin Yao, Aidan Hogan, and Axel-Cyrille Ngonga Ngomo. “A Survey of RDF Stores \\&#38; SPARQL Engines for Querying Knowledge Graphs.” <i>CoRR</i> abs/2102.13027 (2021).","ieee":"W. Ali, M. Saleem, B. Yao, A. Hogan, and A.-C. Ngonga Ngomo, “A Survey of RDF Stores \\&#38; SPARQL Engines for Querying Knowledge Graphs,” <i>CoRR</i>, vol. abs/2102.13027, 2021."},"year":"2021","user_id":"65716","department":[{"_id":"574"}],"_id":"25210","language":[{"iso":"eng"}],"type":"journal_article","publication":"CoRR","status":"public"},{"date_created":"2021-10-01T06:51:45Z","author":[{"last_name":"Vollmers","full_name":"Vollmers, Daniel","first_name":"Daniel"},{"first_name":"Rricha","last_name":"Jalota","id":"69526","full_name":"Jalota, Rricha"},{"full_name":"Moussallem, Diego","id":"71635","last_name":"Moussallem","first_name":"Diego"},{"last_name":"Topiwala","full_name":"Topiwala, Hardik","first_name":"Hardik"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716"},{"full_name":"Usbeck, Ricardo","last_name":"Usbeck","first_name":"Ricardo"}],"volume":"abs/2103.06752","date_updated":"2022-01-06T06:56:55Z","title":"Knowledge Graph Question Answering using Graph-Pattern Isomorphism","citation":{"ama":"Vollmers D, Jalota R, Moussallem D, Topiwala H, Ngonga Ngomo A-C, Usbeck R. Knowledge Graph Question Answering using Graph-Pattern Isomorphism. <i>CoRR</i>. 2021;abs/2103.06752.","ieee":"D. Vollmers, R. Jalota, D. Moussallem, H. Topiwala, A.-C. Ngonga Ngomo, and R. 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Usbeck, CoRR abs/2103.06752 (2021).","apa":"Vollmers, D., Jalota, R., Moussallem, D., Topiwala, H., Ngonga Ngomo, A.-C., &#38; Usbeck, R. (2021). Knowledge Graph Question Answering using Graph-Pattern Isomorphism. <i>CoRR</i>, <i>abs/2103.06752</i>."},"year":"2021","user_id":"65716","department":[{"_id":"574"}],"_id":"25211","language":[{"iso":"eng"}],"type":"journal_article","publication":"CoRR","status":"public"},{"citation":{"apa":"Sharma, A., Demir, C., Ngonga Ngomo, A.-C., &#38; Wehrheim, H. (2021). MLCheck- Property-Driven Testing of Machine Learning Models. <i>CoRR</i>, <i>abs/2105.00741</i>.","mla":"Sharma, Arnab, et al. “MLCheck- Property-Driven Testing of Machine Learning Models.” <i>CoRR</i>, vol. abs/2105.00741, 2021.","short":"A. Sharma, C. Demir, A.-C. Ngonga Ngomo, H. Wehrheim, CoRR abs/2105.00741 (2021).","bibtex":"@article{Sharma_Demir_Ngonga Ngomo_Wehrheim_2021, title={MLCheck- Property-Driven Testing of Machine Learning Models}, volume={abs/2105.00741}, journal={CoRR}, author={Sharma, Arnab and Demir, Caglar and Ngonga Ngomo, Axel-Cyrille and Wehrheim, Heike}, year={2021} }","ama":"Sharma A, Demir C, Ngonga Ngomo A-C, Wehrheim H. MLCheck- Property-Driven Testing of Machine Learning Models. <i>CoRR</i>. 2021;abs/2105.00741.","ieee":"A. Sharma, C. Demir, A.-C. Ngonga Ngomo, and H. Wehrheim, “MLCheck- Property-Driven Testing of Machine Learning Models,” <i>CoRR</i>, vol. abs/2105.00741, 2021.","chicago":"Sharma, Arnab, Caglar Demir, Axel-Cyrille Ngonga Ngomo, and Heike Wehrheim. “MLCheck- Property-Driven Testing of Machine Learning Models.” <i>CoRR</i> abs/2105.00741 (2021)."},"year":"2021","title":"MLCheck- Property-Driven Testing of Machine Learning Models","volume":"abs/2105.00741","author":[{"first_name":"Arnab","last_name":"Sharma","id":"67200","full_name":"Sharma, Arnab"},{"id":"43817","full_name":"Demir, Caglar","last_name":"Demir","first_name":"Caglar"},{"first_name":"Axel-Cyrille","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","last_name":"Ngonga Ngomo"},{"first_name":"Heike","last_name":"Wehrheim","full_name":"Wehrheim, Heike","id":"573"}],"date_created":"2021-10-01T06:54:10Z","date_updated":"2022-01-06T06:56:55Z","status":"public","publication":"CoRR","type":"journal_article","language":[{"iso":"eng"}],"department":[{"_id":"574"}],"user_id":"65716","_id":"25213"},{"language":[{"iso":"eng"}],"department":[{"_id":"574"}],"user_id":"65716","_id":"25214","status":"public","publication":"CoRR","type":"journal_article","title":"Open Data Portal Germany (OPAL) Projektergebnisse","volume":"abs/2105.03161","date_created":"2021-10-01T06:54:56Z","author":[{"orcid":"0000-0002-6575-807X","last_name":"Wilke","full_name":"Wilke, Adrian","id":"9101","first_name":"Adrian"},{"first_name":"Axel-Cyrille","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","last_name":"Ngonga Ngomo"}],"date_updated":"2022-01-06T06:56:55Z","citation":{"short":"A. Wilke, A.-C. Ngonga Ngomo, CoRR abs/2105.03161 (2021).","bibtex":"@article{Wilke_Ngonga Ngomo_2021, title={Open Data Portal Germany (OPAL) Projektergebnisse}, volume={abs/2105.03161}, journal={CoRR}, author={Wilke, Adrian and Ngonga Ngomo, Axel-Cyrille}, year={2021} }","mla":"Wilke, Adrian, and Axel-Cyrille Ngonga Ngomo. “Open Data Portal Germany (OPAL) Projektergebnisse.” <i>CoRR</i>, vol. abs/2105.03161, 2021.","apa":"Wilke, A., &#38; Ngonga Ngomo, A.-C. (2021). Open Data Portal Germany (OPAL) Projektergebnisse. <i>CoRR</i>, <i>abs/2105.03161</i>.","ama":"Wilke A, Ngonga Ngomo A-C. Open Data Portal Germany (OPAL) Projektergebnisse. <i>CoRR</i>. 2021;abs/2105.03161.","chicago":"Wilke, Adrian, and Axel-Cyrille Ngonga Ngomo. “Open Data Portal Germany (OPAL) Projektergebnisse.” <i>CoRR</i> abs/2105.03161 (2021).","ieee":"A. Wilke and A.-C. Ngonga Ngomo, “Open Data Portal Germany (OPAL) Projektergebnisse,” <i>CoRR</i>, vol. abs/2105.03161, 2021."},"year":"2021"},{"citation":{"apa":"Demir, C., &#38; Ngonga Ngomo, A.-C. (2021). Out-of-Vocabulary Entities in Link Prediction. <i>CoRR</i>, <i>abs/2105.12524</i>.","mla":"Demir, Caglar, and Axel-Cyrille Ngonga Ngomo. “Out-of-Vocabulary Entities in Link Prediction.” <i>CoRR</i>, vol. abs/2105.12524, 2021.","short":"C. Demir, A.-C. Ngonga Ngomo, CoRR abs/2105.12524 (2021).","bibtex":"@article{Demir_Ngonga Ngomo_2021, title={Out-of-Vocabulary Entities in Link Prediction}, volume={abs/2105.12524}, journal={CoRR}, author={Demir, Caglar and Ngonga Ngomo, Axel-Cyrille}, year={2021} }","ieee":"C. Demir and A.-C. Ngonga Ngomo, “Out-of-Vocabulary Entities in Link Prediction,” <i>CoRR</i>, vol. abs/2105.12524, 2021.","chicago":"Demir, Caglar, and Axel-Cyrille Ngonga Ngomo. “Out-of-Vocabulary Entities in Link Prediction.” <i>CoRR</i> abs/2105.12524 (2021).","ama":"Demir C, Ngonga Ngomo A-C. Out-of-Vocabulary Entities in Link Prediction. <i>CoRR</i>. 2021;abs/2105.12524."},"year":"2021","author":[{"first_name":"Caglar","last_name":"Demir","full_name":"Demir, Caglar","id":"43817"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille"}],"date_created":"2021-10-01T06:55:36Z","volume":"abs/2105.12524","date_updated":"2022-01-06T06:56:55Z","title":"Out-of-Vocabulary Entities in Link Prediction","type":"journal_article","publication":"CoRR","status":"public","user_id":"65716","department":[{"_id":"574"}],"_id":"25215","language":[{"iso":"eng"}]},{"year":"2021","citation":{"apa":"Demir, C., &#38; Ngonga Ngomo, A.-C. (2021). DRILL- Deep Reinforcement Learning for Refinement Operators in ALC. <i>CoRR</i>, <i>abs/2106.15373</i>.","bibtex":"@article{Demir_Ngonga Ngomo_2021, title={DRILL- Deep Reinforcement Learning for Refinement Operators in ALC}, volume={abs/2106.15373}, journal={CoRR}, author={Demir, Caglar and Ngonga Ngomo, Axel-Cyrille}, year={2021} }","mla":"Demir, Caglar, and Axel-Cyrille Ngonga Ngomo. “DRILL- Deep Reinforcement Learning for Refinement Operators in ALC.” <i>CoRR</i>, vol. abs/2106.15373, 2021.","short":"C. Demir, A.-C. Ngonga Ngomo, CoRR abs/2106.15373 (2021).","ama":"Demir C, Ngonga Ngomo A-C. DRILL- Deep Reinforcement Learning for Refinement Operators in ALC. <i>CoRR</i>. 2021;abs/2106.15373.","ieee":"C. Demir and A.-C. Ngonga Ngomo, “DRILL- Deep Reinforcement Learning for Refinement Operators in ALC,” <i>CoRR</i>, vol. abs/2106.15373, 2021.","chicago":"Demir, Caglar, and Axel-Cyrille Ngonga Ngomo. “DRILL- Deep Reinforcement Learning for Refinement Operators in ALC.” <i>CoRR</i> abs/2106.15373 (2021)."},"title":"DRILL- Deep Reinforcement Learning for Refinement Operators in ALC","date_updated":"2022-01-06T06:56:55Z","date_created":"2021-10-01T06:56:48Z","author":[{"first_name":"Caglar","full_name":"Demir, Caglar","id":"43817","last_name":"Demir"},{"first_name":"Axel-Cyrille","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo"}],"volume":"abs/2106.15373","status":"public","type":"journal_article","publication":"CoRR","language":[{"iso":"eng"}],"_id":"25217","user_id":"65716","department":[{"_id":"574"}]},{"language":[{"iso":"eng"}],"project":[{"name":"SFB 901","_id":"1"},{"_id":"3","name":"SFB 901 - Project Area B"},{"_id":"11","name":"SFB 901 - Subproject B3"},{"_id":"10","name":"SFB 901 - Subproject B2"}],"_id":"28350","user_id":"477","department":[{"_id":"7"},{"_id":"77"},{"_id":"574"}],"abstract":[{"lang":"eng","text":"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).\r\nIn 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\r\ndiscrimination, 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"}],"status":"public","type":"conference","publication":"Proceedings of the 20th IEEE International Conference on Machine Learning and Applications (ICMLA)","title":"MLCHECK–Property-Driven Testing of Machine Learning Classifiers","date_updated":"2022-01-06T06:58:02Z","publisher":"IEEE","author":[{"full_name":"Sharma, Arnab","id":"67200","last_name":"Sharma","first_name":"Arnab"},{"id":"43817","full_name":"Demir, Caglar","last_name":"Demir","first_name":"Caglar"},{"full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"},{"first_name":"Heike","last_name":"Wehrheim","full_name":"Wehrheim, Heike","id":"573"}],"date_created":"2021-12-07T11:11:36Z","year":"2021","citation":{"apa":"Sharma, A., Demir, C., Ngonga Ngomo, A.-C., &#38; Wehrheim, H. (n.d.). MLCHECK–Property-Driven Testing of Machine Learning Classifiers. <i>Proceedings of the 20th IEEE International Conference on Machine Learning and Applications (ICMLA)</i>.","bibtex":"@inproceedings{Sharma_Demir_Ngonga Ngomo_Wehrheim, title={MLCHECK–Property-Driven Testing of Machine Learning Classifiers}, booktitle={Proceedings of the 20th IEEE International Conference on Machine Learning and Applications (ICMLA)}, publisher={IEEE}, author={Sharma, Arnab and Demir, Caglar and Ngonga Ngomo, Axel-Cyrille and Wehrheim, Heike} }","short":"A. Sharma, C. Demir, A.-C. Ngonga Ngomo, H. 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In: <i>Intelligent Data Engineering and Automated Learning – IDEAL 2021</i>. ; 2021. doi:<a href=\"https://doi.org/10.1007/978-3-030-91608-4_11\">10.1007/978-3-030-91608-4_11</a>","chicago":"Feldhans, Robert, Adrian Wilke, Stefan Heindorf, Mohammad Hossein Shaker, Barbara Hammer, Axel-Cyrille Ngonga Ngomo, and Eyke Hüllermeier. “Drift Detection in Text Data with Document Embeddings.” In <i>Intelligent Data Engineering and Automated Learning – IDEAL 2021</i>. Cham, 2021. <a href=\"https://doi.org/10.1007/978-3-030-91608-4_11\">https://doi.org/10.1007/978-3-030-91608-4_11</a>.","ieee":"R. Feldhans <i>et al.</i>, “Drift Detection in Text Data with Document Embeddings,” in <i>Intelligent Data Engineering and Automated Learning – IDEAL 2021</i>, Cham, 2021.","apa":"Feldhans, R., Wilke, A., Heindorf, S., Shaker, M. H., Hammer, B., Ngonga Ngomo, A.-C., &#38; Hüllermeier, E. (2021). Drift Detection in Text Data with Document Embeddings. 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