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Professor Steffen Staab

 Dr. rer. nat.
Professor in Web and Computer Science

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.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. 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.

More research

Connect with Steffen

Email: [email protected]

ORCID

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About Research Publications Supervision Teaching External roles and responsibilities Biography
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About

I am fellow of the European Association for Artificial Intelligence, trustee of the Web Science Trust, co-speaker for the Cluster of Excellence on Data-integrated Simulation Science (SimTech), co-speaker for the Interchange Forum for Reflecting Intelligent Systems, and member of the ELLIS Unit Stuttgart.

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Write about yourself in the third person. Aim for 100 to 150 words covering the main points about who you are and what you currently do. Clear, simple language is best. You can include specialist or technical terms.

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