2023 - Research.com Computer Science in Austria Leader Award
2022 - Research.com Computer Science in Austria Leader Award
The scientist’s investigation covers issues in World Wide Web, Semantic Web, Semantic Web Stack, Social Semantic Web and Data Web. The concepts of his World Wide Web study are interwoven with issues in Ontology and Process ontology. His Semantic Web study is concerned with the larger field of Information retrieval.
His Social Semantic Web study focuses on Semantic analytics in particular. His Data Web research includes themes of Web standards and Web intelligence. The Web standards study combines topics in areas such as Semantic computing and Web modeling.
His main research concerns World Wide Web, Semantic Web, Semantic Web Stack, Social Semantic Web and Data Web. Web service, Web standards, Web modeling, WSMO and WS-Policy are the core of his World Wide Web study. His Web standards course of study focuses on Web 2.0 and Web application security.
His Semantic Web research is multidisciplinary, incorporating elements of Ontology, Semantics and The Internet. His Ontology study combines topics in areas such as Ontology and Knowledge management. His biological study spans a wide range of topics, including Semantic computing and Semantic grid.
World Wide Web, Semantic Web, Information retrieval, Semantic Web Stack and Social Semantic Web are his primary areas of study. His World Wide Web study combines topics from a wide range of disciplines, such as Service provider and Service. The concepts of his Semantic Web study are interwoven with issues in Multimedia, Social web, Web modeling and Data Web.
His research investigates the connection between Data Web and topics such as Web standards that intersect with problems in Web intelligence, Web development, WS-Policy and Web 2.0. His Semantic Web Stack research incorporates elements of Semantic computing and Semantic grid. His Social Semantic Web research is multidisciplinary, relying on both SPARQL, Hypertext, Index and Knowledge representation and reasoning.
Dieter Fensel focuses on World Wide Web, Semantic Web, The Internet, Semantic Web Stack and Schema.org. His research in Social Semantic Web and Web standards are components of World Wide Web. The various areas that Dieter Fensel examines in his Social Semantic Web study include Ontology engineering, Library science, Web 2.0 and Data Web.
His Data Web research is multidisciplinary, incorporating perspectives in Web intelligence and Web development. Dieter Fensel studies Semantic Web, focusing on RDF in particular. His Semantic Web Stack research focuses on subjects like Web modeling, which are linked to Data science.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Knowledge engineering: principles and methods
Rudi Studer;V. Richard Benjamins;V. Richard Benjamins;Dieter Fensel.
data and knowledge engineering (1998)
The Semantic Web: Research and Applications
Christoph J. Bussler;John Davies;Dieter Fensel;Rudi Studer.
Ontologies: A Silver Bullet for Knowledge Management and Electronic Commerce
Dieter Andreas Fensel.
Web Service Modeling Ontology
Dumitru Roman;Uwe Keller;Holger Lausen;Jos de Bruijn.
Applied Ontology (2005)
The Web Service Modeling Framework WSMF
Dieter Fensel;Christoph Bussler.
Electronic Commerce Research and Applications (2002)
OIL: an ontology infrastructure for the Semantic Web
D. Fensel;F. van Harmelen;I. Horrocks;D.L. McGuinness.
IEEE Intelligent Systems (2001)
The Semantic Web: the roles of XML and RDF
S. Decker;S. Melnik;F. van Harmelen;D. Fensel.
IEEE Internet Computing (2000)
Towards the Semantic Web: Ontology-driven Knowledge Management
John Davies;Dieter Fensel;Frank van Harmelen.
Towards the Semantic Web
John Davies;Dieter Fensel;Frank Van Harmelen.
The Semantic Web - ISWC 2003
Dieter Fensel;Katia Sycara;John Mylopoulos.
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