This image shows Steffen Staab

Steffen Staab

Prof. Dr.

Managing Director
Institute of Artificial Intelligence
Analytic Computing

Contact

+49 711 685 88100
+49 711 685 78100

Universitätsstraße 32
70569 Stuttgart
Germany
Room: 02.305

Office Hours

Send e-mail for appointment.

Subject

Data represent the world on our computers. While the world is very intriguing, data may be quite boring, if one does not know what they mean. I am interested in making data more meaningful to find interesting insights in the world outside.

How does meaning arise?

One can model data and information. Conceptual models and ontologies are the foundations for knowledge graphs that enable the computer to treat data in a meaningful way. Other foundations are physical principles that are put to use in simulations in order reveal laws that govern data. Using machine learning, text and data mining as well as information extraction one may find meaningful patterns in data as well as connections between data and its use in context. Humans communicate information. In order to understand what data and information means, one has to understand social interactions and interactions with computers. Eventually meaning is nothing that exists in the void. Data and information must be communicated to people who may use insights into data and information. Interaction between humans and computers must happen in a way that matches the meaning of data and information.

Internships

We do not offer any kind of internship to bachelor or master students. Ph.D. students are welcome to inquire about research visits.

Publications

Publications:
  1. 40.
    Seifer, Philipp, Daniel Hernández, Ralf Lämmel und Steffen Staab. 2024. Code for From Shapes to Shapes. doi:10.18419/darus-3977, .
  2. 39.
    Hedeshy, Ramin, Raphael Menges und Steffen Staab. 2024. Code for Training and Testing CNVVE. doi:10.18419/darus-3896, .
  3. 38.
    Hedeshy, Ramin, Raphael Menges und Steffen Staab. 2024. Raw audio samples of the CNVVE dataset. doi:10.18419/darus-3897, .
  4. 37.
    Hedeshy, Ramin, Raphael Menges und Steffen Staab. 2024. CNVVE Dataset clean audio samples. doi:10.18419/darus-3898, .
  5. 36.
    Seifer, Philipp, Daniel Hernández, Ralf Lämmel und Steffen Staab. 2024. From Shapes to Shapes: Inferring SHACL Shapes for Results of SPARQL CONSTRUCT Queries. In: Proceedings of the ACM Web Conference 2024 (WWW ’24), May13--17, 2024, Singapore, Singapore. Proceedings of the ACM Web Conference 2024 (WWW ’24), May13--17, 2024, Singapore, Singapore. ACM, Mai. doi:10.1145/3589334.3645550, https://doi.org/10.1145/3589334.3645550.
  6. 35.
    Iurshina, Anastasiia, Jiaxin Pan, Rafika Boutalbi und Steffen Staab. 2023. Data for: NILK, entity linking dataset targeting NIL-linking cases. doi:10.18419/darus-3454, .
  7. 34.
    Elshani, Diellza, Alessio Lombardi, Daniel Hernández, Steffen Staab, Al Fisher und Thomas Wortmann. 2023. BHoM to bhOWL converter. doi:10.18419/darus-3364, .
  8. 33.
    Baier, Alexandra, Decky Aspandi Latif und Steffen Staab. 2023. Supplements for „ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks“". doi:10.18419/darus-3457, .
  9. 32.
    Zhang, Ciheng, Decky Aspandi und Steffen Staab. 2023. Predicting Eye Gaze Location on Websites. In: Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications VISIGRAPP, hg. von Petia Radeva, Giovanni Maria Farinella, und Kadi Bouatouch, 4 : VISAPP:121–132. Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications VISIGRAPP. SciTePress. doi:10.5220/0011747300003417, .
  10. 31.
    Wang, Yi, Corina Dima und Steffen Staab. 2023. WikiMed-DE: Constructing a Silver-Standard Dataset for German Biomedical Entity Linking using Wikipedia and Wikidata. In: The 4th Wikidata Workshop @ ISWC 2023. The 4th Wikidata Workshop @ ISWC 2023. https://openreview.net/forum?id=5dQ7YDSYya.
  11. 30.
    Mougan, Carlos, Jose M. Alvarez, Salvatore Ruggieri und Steffen Staab. 2023. Fairness Implications of Encoding Protected Categorical Attributes. In: Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, hg. von Francesca Rossi, Sanmay Das, Jenny Davis, Kay Firth-Butterfield, und Alex John, 454–465. Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society. Association for Computing Machinery. doi:10.1145/3600211.3604657, .
  12. 29.
    Lu, Jiaying, Jiaming Shen, Bo Xiong, Wenjing Ma, Steffen Staab und Carl Yang. 2023. HiPrompt : Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting. In: SIGIR ’23 : Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2052–2056. SIGIR ’23 : Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery. doi:10.1145/3539618.3591997, .
  13. 28.
    He, Yunjie, Mojtaba Nayyeri, Bo Xiong, Yuqicheng Zhu, Evgeny Kharlamov und Steffen Staab. 2023. Can Pattern Learning Enhance Complex Logical Query Answering? In: .
  14. 27.
    Gregucci, Cosimo, Mojtaba Nayyeri, Daniel Hernández und Steffen Staab. 2023. Link Prediction with Attention Applied on Multiple Knowledge Graph Embedding Models. In: , hg. von Ying Ding, Jie Tang, Juan F. Sequeda, Lora Aroyo, Carlos Castillo, und Geert-Jan Houben. ACM. doi:10.1145/3543507.3583358, https://doi.org/10.1145/3543507.3583358.
  15. 26.
    Elshani, Diellza, Daniel Hernandez, Alessio Lombardi, Lasath Siriwardena, Tobias Schwinn, Al Fisher, Steffen Staab, Achim Menges und Thomas Wortmann. 2023. Building Information Validation and Reasoning Using Semantic Web Technologies. In: Computer-Aided Architectural Design. INTERCONNECTIONS: Co-computing Beyond Boundaries, hg. von Michela Turrin, Charalampos Andriotis, und Azarakhsh Rafiee, 470--484. Computer-Aided Architectural Design. INTERCONNECTIONS: Co-computing Beyond Boundaries. Cham: Springer Nature Switzerland.
  16. 25.
    Baier, Alexandra, Decky Aspandi und Steffen Staab. 2023. ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks. In: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI-23. Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI-23. International Joint Conferences on Artificial Intelligence Organization, August.
  17. 24.
    Pan, Jiaxin, Mojtaba Nayyeri, Yinan Li und Steffen Staab. 2023. HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces. arXiv preprint arXiv:2312.13680. arXiv preprint arXiv:2312.13680.
  18. 23.
    Monninger, Thomas, Julian Schmidt, Jan Rupprecht, David Raba, Julian Jordan, Daniel Frank, Steffen Staab und Klaus Dietmayer. 2023. SCENE : Reasoning About Traffic Scenes Using Heterogeneous Graph Neural Networks. IEEE Robotics and automation letters 8, Nr. 3. IEEE Robotics and automation letters: 1531–1538. doi:10.1109/LRA.2023.3234771, .
  19. 22.
    Frank, Daniel, Decky Aspandi Latif, Michael Muehlebach, Benjamin Unger und Steffen Staab. 2022. Robust Recurrent Neural Network to Identify Ship Motion in Open Water with Performance Guarantees : Technical Report. doi:10.48550/arXiv.2212.05781, .
  20. 21.
    Baier, Alexandra und Steffen Staab. 2022. A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances. doi:10.18419/darus-2905, .
  21. 20.
    Xiong, Bo, Shichao Zhu, Nico Potyka, Shirui Pan, Chuan Zhou und Steffen Staab. 2022. Pseudo-Riemannian Graph Convolutional Networks. In: Advances in Neural Information Processing Systems 35 (NeurIPS 2022), hg. von S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, und A. Oh, 3488–3501. Advances in Neural Information Processing Systems 35 (NeurIPS 2022). Curran Associates, Inc. https://proceedings.neurips.cc/paper_files/paper/2022/hash/16c628ab12dc4caca8e7712affa6c767-Abstract-Conference.html.
  22. 19.
    Xiong, Bo, Shichao Zhu, Mojtaba Nayyeri, Chengjin Xu, Shirui Pan, Chuan Zhou und Steffen Staab. 2022. Ultrahyperbolic Knowledge Graph Embeddings. In: KDD ’22 : Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2130–2139. KDD ’22 : Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery. doi:10.1145/3534678.3539333, .
  23. 18.
    Xiong, Bo, Nico Potyka, Trung-Kien Tran, Mojtaba Nayyeri und Steffen Staab. 2022. Faithful Embeddings for EL++ Knowledge Bases. In: The Semantic Web : ISWC 2022, hg. von Ulrike Sattler, Aidan Hogan, Maria Keet, Valentina Presutti, João Paulo A. Almeida, Hideaki Takeda, Pierre Monnin, Giuseppe Pirrò, und Claudia D’Amato, 22–38. The Semantic Web : ISWC 2022. Springer. doi:10.1007/978-3-031-19433-7_2, .
  24. 17.
    Xiong, Bo, Michael Cochez, Mojtaba Nayyeri und Steffen Staab. 2022. Hyperbolic Embedding Inference for Structured Multi-Label Prediction. In: 36th Conference on Neural Information Processing Systems (NeurIPS 2022). 36th Conference on Neural Information Processing Systems (NeurIPS 2022). OpenReview. https://openreview.net/forum?id=XFnDhcEH9FF.
  25. 16.
    Lohr, Matthias, Kenneth Skiba, Marco Konersmann, Jan Jürjens und Steffen Staab. 2022. Formalizing Cost Fairness for Two-Party Exchange Protocols using Game Theory and Applications to Blockchain. In: 2022 IEEE International Conference on Blockchain and Cryptocurrency (ICBC). 2022 IEEE International Conference on Blockchain and Cryptocurrency (ICBC). IEEE. doi:10.1109/ICBC54727.2022.9805522, .
  26. 15.
    Iurshina, Anastasiia, Muhammad Ahsan Shahid, Tobias Backes, Philipp Mayr und Steffen Staab. 2022. Understanding literature references in academic full text (ULITE). In: JCDL ’22 : Proceedings of the 22nd ACM/IEEE Joint Conference on Digital Libraries, 56. JCDL ’22 : Proceedings of the 22nd ACM/IEEE Joint Conference on Digital Libraries. Association for Computing Machinery. doi:10.1145/3529372.3530942, .
  27. 14.
    Iurshina, Anastasiia, Jiaxin Pan, Rafika Boutalbi und Steffen Staab. 2022. NILK : Entity Linking Dataset Targeting NIL-Linking Cases. In: CIKM ’22 : Proceedings of the 31st ACM International Conference on Information & Knowledge Management, hg. von Mohammad Al Hasan und Li Xiong, 4069–4073. CIKM ’22 : Proceedings of the 31st ACM International Conference on Information & Knowledge Management. Association for Computing Machinery. doi:10.1145/3511808.3557659, .
  28. 13.
    Hedeshy, Ramin, Chandan Kumar, Mike Lauer und Steffen Staab. 2022. All Birds Must Fly : The Experience of Multimodal Hands-free Gaming with Gaze and Nonverbal Voice Synchronization. In: Proceedings of the 2022 International Conference on Multimodal Interaction, 278–287. Proceedings of the 2022 International Conference on Multimodal Interaction. Association for Computing Machinery. doi:10.1145/3536221.3556593, .
  29. 12.
    Elshani, Diellza, Thomas Wortmann und Steffen Staab. 2022. Towards Better Co-Design with Disciplinary Ontologies : Review and Evaluation of Data Interoperability in the AEC Industry. In: Proceedings of the 10th Linked Data in Architecture and Construction Workshop, hg. von Pieter Pauwels, Maria Poveda-Villalon, und Walter Terkaj, 43–52. Proceedings of the 10th Linked Data in Architecture and Construction Workshop. RWTH Aachen. https://ceur-ws.org/Vol-3213/.
  30. 11.
    Elshani, Diellza, Alessio Lombardi, Al Fisher, Steffen Staab, Daniel Hernández und Thomas Wortmann. 2022. Knowledge Graphs for Multidisciplinary Co-Design : Introducing RDF to BHoM. In: Proceedings of the 10th Linked Data in Architecture and Construction Workshop, hg. von Pieter Pauwels, Maria Poveda-Villalon, und Walter Terkaj, 43–52. Proceedings of the 10th Linked Data in Architecture and Construction Workshop. RWTH Aachen. https://ceur-ws.org/Vol-3213/.
  31. 10.
    Elshani, Diellza, Alessio Lombardi, Al Fisher, Steffen Staab, Daniel Hernández und Thomas Wortmann. 2022. Inferential Reasoning in Co-Design Using Semantic Web Standards alongside BHoM. In: Proceedings of 33. Forum Bauinformatik, hg. von Martin Slepicka, Lothar Kolbeck, Sebastian Esser, Kasimir Forth, Florian Noichl, und Jonas Schlenger, 89–97. Proceedings of 33. Forum Bauinformatik. Technische Universität München. doi:10.14459/2022md1686600, .
  32. 9.
    Boutalbi, Rafika, Mira Ait-Saada, Anastasiia Iurshina, Steffen Staab und Mohamed Nadif. 2022. Tensor-based Graph Modularity for Text Data Clustering. In: SIGIR ’22 : Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2227–2231. SIGIR ’22 : Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery. doi:10.1145/3477495.3531834, .
  33. 8.
    "Hedeshy, Ramin", "Kumar Chandan", "Lauer Mike" und "Staab Steffen". 2022. All Birds Must Fly: The Experience of Multimodal Hands-free Gaming with Gaze and Nonverbal Voice Synchronization. In: . doi:10.1145/3536221.3556593, .
  34. 7.
    Wortmann, Thomas, Melanie Herschel, Steffen Staab und Cristina Tarín Sauer. 2022. AI for AEC : KI für Bauplanung und Bau. Bautechnik 99, Nr. 10. Bautechnik: 711–719. doi:10.1002/bate.202200070, .
  35. 6.
    Schneider, Tim, Chen Qiu, Marius Kloft, Decky Aspandi-Latif, Steffen Staab, Stephan Mandt und Maja Rudolph. 2022. Detecting Anomalies within Time Series using Local Neural Transformations. arXiv preprint. arXiv preprint. https://arxiv.org/abs/2202.03944.
  36. 5.
    Baier, Alexandra, Zeyd Boukhers und Steffen Staab. 2021. Hybrid Physics and Deep Learning Model for Interpretable Vehicle State Prediction. http://arxiv.org/abs/2103.06727.
  37. 4.
    Schmelzeisen, Lukas, Corina Dima und Steffen Staab. 2021. Wikidated 1.0: An Evolving Knowledge Graph Dataset of Wikidata’s Revision                History. In: Wikidata Workshop @ ISWC 2021, 2982:. Wikidata Workshop @ ISWC 2021. CEUR-WS.org.
  38. 3.
    Seifer, Philipp, Martin Leinberger, Ralf Lämmel und Steffen Staab. 2019. Semantic Query Integration With Reason. CoRR abs/1902.00545. CoRR. http://dblp.uni-trier.de/db/journals/corr/corr1902.html#abs-1902-00545.
  39. 2.
    Cimiano, Philipp, Alexander Mädche, Steffen Staab und Johanna Völker. 2009. Ontology Learning. In: Handbook on Ontologies, hg. von Steffen Staab und Rudi Studer, 245–267. Handbook on Ontologies. Springer. http://dblp.uni-trier.de/db/series/ihis/hoo2009.html#CimianoMSV09.
  40. 1.
    Dellschaft, Klaas und Steffen Staab. 2008. Strategies for the Evaluation of Ontology Learning. In: Ontology Learning and Population, hg. von Paul Buitelaar und Philipp Cimiano, 167:253–272. Ontology Learning and Population. IOS Press. http://dblp.uni-trier.de/db/series/faia/faia167.html#DellschaftS08.

I have studied computer science and computational linguistics at the Universität Erlangen-Nürnberg and at the University of Pennsylvania. I worked in the previous computational linguistics research group at the Universität Freiburg and did my Ph.D. in computer science in the faculty for technology in 1998. Afterwards I joined Universität Stuttgart, Institute IAT & Fraunhofer IAO, before I moved on to the Universität Karlsruhe (now: KIT), where I progressed from project lead, over lecturer and senior lecturer and did my habilitation in 2002. In 2004 I became professor for databases and information systems at Universität Koblenz-Landau, where I founded the Institute for Web Science and Technologies (WeST) in 2009 and was head of it until 2020. Since February 2020 I have a chair for Analytic Computing at the Institute for Parallel and Distributed Systems of Universität Stuttgart. In parallel, I hold a Chair for Web and Computer Science at University of Southampton since March 2015.

To the top of the page