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S.R.Staab@soton.ac.uk

Professor Steffen Staab Dr. rer. nat.

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.

Research

Publications

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Research

Research interests

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 networks that enable the computer to treat data in a meaningful way.
  • Text and data mining as well as information extraction find meaningful patterns in data (e.g. using ontology learning of text clustering) as well as connections between data and its use in context (e.g. using smartphones). Hence, knowledge networks may be found in data.
  • Humans communicate information. In order to understand what data and information means, one has to understand social interactions. In the context of social network knowledge networks become meaningful for human consumption.
  • 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.

The World Wide Web is the largest information construct made by mankind to convey meaningful data. Web Science is the discipline that considers how networks of people and knowledge in the Web arise, how humans deal with it and which consequences this has for all of us. The Web is a meaning machine that I want do understand by my research.

Publications

2022

2021

  • Sun, Peng Gang, Miao, Qiguang and Staab, Steffen (2021) Community-based k-shell decomposition for identifying influential spreaders. Pattern Recognition, 120, [108130]. (doi:10.1016/j.patcog.2021.108130).

  • Hedeshy, Ramin, Kumar, Chandan, Menges, Raphael and Staab, Steffen (2021) Hummer: Text entry by Gaze and Hum. ACM Conference on Human Factors in Computing Systems, Online Virtual Conference (originally Yokohama, Japan), Yokohama, Japan. 08 - 13 May 2021. (In Press)

  • Hogan, Aidan, Blomqvist, Eva, Cochez, Michael, d'Amato, Claudia, de Melo, Gerard, Gutierrez, Claudio, Kirrane, Sabrina, Labra Gayo, Jose Emilio, Navigli, Roberto, Neumaier, Sebastian, Ngonga Ngomo, Axel-Cyrille, Polleres, Axel, Rashid, Sabbir M., Rula, Anisa, Schmelzeisen, Lukas, Sequeda, Juan, Staab, Steffen and Zimmermann, Antoine (2021) Knowledge graphs. ACM Computing Surveys. (In Press)

  • Staab, Steffen, Boukhers, Zeyd and Wete, Danniene (2021) LaHAR: Latent Human Activity Recognition using LDA. The AAAI 2021 Workshop on Plan, Activity, and Intent Recognition., , Virtual.

  • Seifer, Philipp, Lämmel, Ralf and Staab, Steffen (2021) ProGS: Property Graph Shapes Language. 20th International Semantic Web Conference, Virtual Event. 24 - 28 Oct 2021. 17 pp . (In Press)

2020

2019

2018

2017

2016

2015

2014

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