Rudi Studer

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Rudi Studer
Rudi Studer.jpg
Rudi Studer at the International Semantic Web Conference (ISWC) in 2008
Born1951 (age 69–70)
Stuttgart, Germany
Alma materUniversity of Stuttgart
Scientific career
FieldsSemantic Web
Knowledge Management
Intelligent Systems
Semantic Web Services
Linked Data[1]
InstitutionsKarlsruhe Institute of Technology
IBM
Ontoprise GmbH
Forschungszentrum Informatik
ThesisKonzepte für die interaktive Entwicklung und Benutzung von Anwendersystemen
Doctoral advisorErich Neuhold
Rul Gunzenhäuser[2]
Doctoral studentsDieter Fensel[citation needed]
Denny Vrandečić[3]
Websitewww.aifb.kit.edu/web/Rudi_Studer/en

Rudi Studer (born 1951 in Stuttgart) is a German computer scientist and professor emeritus at KIT, Germany. He served as head of the knowledge management research group at the Institute AIFB and one of the directors of the Karlsruhe Service Research Institute (KSRI). He is a former president of the Semantic Web Science Association,[4] an STI International Fellow, and a member of numerous programme committees and editorial boards. He was one of the inaugural editors-in-chief of the Journal of Web Semantics, a position he held until 2007. He is a co-author of the "Semantic Wikipedia" proposal[5] which led to the development of Wikidata.

Education[]

He obtained a degree (1975) and a PhD (1982) in Computer Science at the University of Stuttgart.[2]

Career and research[]

From 1985 to 1989 he was project leader and manager at IBM Germany, Institute of Knowledge Based Systems. November 1989 he became professor in Karlsruhe.[6] Since then, he led his research group to become one of the world leading institutions in Semantic Web technology, and he played a leading role in establishing highly acknowledged international conferences and journals in this area.

Rudi Studer was also director in the department Information Process Engineering at and one of the presidents of the FZI Research Center for Information Technology as well as co-founder of the spin-off company ontoprise GmbH that developed semantic applications.

He is a member of Association for Computing Machinery (ACM) and German Informatics Society.[citation needed]

His research interests span over the main topics important for semantic web technology, including knowledge management, knowledge engineering, ontology management, data and text mining, and semantic web services.[1]

Publications[]

His publications[7][1][8] include:

  • Knowledge processes and ontologies[9]
  • Handbook on ontologies[10]
  • Knowledge engineering: Principles and methods[11]
  • John Davies, Rudi Studer, Paul Warren (Eds.), Semantic Web Technologies - trends and research in ontology-based systems, John Wiley & Sons. June 2006.
  • Rudi Studer, Stephan Grimm, Andreas Abecker (Eds.), Semantic web services: concepts, technologies, and applications, Springer Verlag, Heidelberg. 2007.
  • Mark A. Musen, Bernd Neumann, Rudi Studer, Intelligent Information Processing, Kluwer Academic Publishers, Boston/Dordrecht/London. 2002.


References[]

  1. ^ Jump up to: a b c Rudi Studer publications indexed by Google Scholar Edit this at Wikidata
  2. ^ Jump up to: a b Rudi Studer at the Mathematics Genealogy Project Edit this at Wikidata
  3. ^ Vrandečić, Denny (2010). Ontology evaluation. kit.edu (PhD thesis). Karlsruhe Institute of Technology. doi:10.5445/IR/1000018419. OCLC 1184439877.
  4. ^ Semantic Web Science Association
  5. ^ Institut AIFB - Publication: Semantic Wikipedia
  6. ^ Short CV of Rudi Studer at the AIFB website
  7. ^ Rudi Studer at DBLP Bibliography Server Edit this at Wikidata
  8. ^ http://www.aifb.uni-karlsruhe.de/Publikationen/showPublikationen?id_db=57
  9. ^ Staab, S.; Studer, R.; Schnurr, H.-P.; Sure, Y. (2001). "Knowledge processes and ontologies". IEEE Intelligent Systems. 16 (1): 26–34. doi:10.1109/5254.912382. ISSN 1541-1672.
  10. ^ Staab, Steffen; Studer, Rudi (2009). Handbook on Ontologies. doi:10.1007/978-3-540-92673-3. ISBN 978-3-662-49995-5. OCLC 958980671.
  11. ^ Studer, Rudi; Benjamins, V.Richard; Fensel, Dieter (1998). "Knowledge engineering: Principles and methods". Data & Knowledge Engineering. 25 (1–2): 161–197. doi:10.1016/S0169-023X(97)00056-6. ISSN 0169-023X.
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