Logisch und Physikalisch Optimierte Semantic Web Datenbank-Engine (LUPOSDATE)

Funded by:

  • DFG

Runtime:

  • 2007 - 2011

Project Coordinator:

Research Associate:

 

Motivation

The vision of the Semantic Web compared to conventional database management systems and web applications is to incorporate the meaning of the symbol into the machine processing of symbols so that error rates from incorrectly mapped data and services can be reduced when data and services are automatically integrated . There are currently significant efforts in the World Wide Web Consortium (W3C), in industry and in research, to further develop the Semantic Web, both in terms of the specifications of essential formats and languages ​​as well as the underlying technologies and products.

Goals and Procedure

Semantic Web applications often still have major performance problems because logical and physical optimizations for Semantic Web data and queries have not yet been sufficiently researched and applied in productive systems. Furthermore, the concept of ontology in connection with database technologies has not yet been sufficiently researched.

Innovation and Prospects

The aim of this project is to research logical and physical optimizations for Semantic Web data and languages ​​with regard to the concrete specifics of Semantic Web data and languages, so that the performance of Semantic Web applications is improved. In particular, the concept of ontology and its implications for the optimized evaluation of Semantic Web queries will be examined in more detail.

Project Partners

  • Institute of Information Systems (IFIS), University of Lübeck

Link to Project Details

Publications

1994

Sven Groppe,
Das A und O der Programmierung - Universeller EBNF-Parser, Toolbox 4/94 , pp. 48--52, 1994. DMV-Verlag.
Sven Groppe,
Die Kunst, Compiler zu schreiben - Compiler-Compiler in Pascal, Toolbox 6/94 , pp. 52--62, 1994. DMV-Verlag.