|vCard Sebastian Schaffert|
Web and Semantic Web, context adaptation, XML and semistructured data, artificial intelligence, reasoning, programming languages, especially logic and functional languages.
Background / Expertise
Sebastian Schaffert, born 1976, studied Computer Science at the University of Munich, Germany. He graduated in 2001 as "Diplom-Informatiker" and in 2004 as "Doctor rerum naturalium" (Dr.rer.nat.) with a thesis entitled "Xcerpt: A Rule-Based Query and Transformation Language for the Web". From 1998 to 2000, he was working as system administrator at the University of Munich, and from 2001 to 2005, he was employed as a research and teaching assistant, also at the University of Munich. Since August 2005, he is working as a senior researcher at the unit for knowledge based information systems at Salzburg Research.
Sebastian's research interests are in Web and Semantic Web research, context adaptation, XML and semistructured data, as well as functional and logic programming. He has contributed to many scientific conferences as author and program committee member and has several publications on the rule-based XML query language Xcerpt and related top.css. Besides this, Sebastian is interested in Linux and Open Source software, likes sailing/windsurfing, biking, and mountaineering.
- Linked Media Framework - an advanced Linked Data and Semantic Search server
- KiWi - Knowledge in a Wiki; a FP7 project concerned with knowledge management in Semantic Wikis
- IkeWiki - a semantic Wiki implementation (Firefox 1.5 required)
- Xcerpt - a reasoning language for Web data