This DFG-Graudate SChool SOAMED (Service-orientierte Architekturen zur Integration Software-gestützter Prozesse am Beispiel des Gesundheitswesens und der Medizintechnik) investigates various aspects of service oriented architectures in the context of medical systems.
The DBIS research group investigates various aspects of data management and workflow execution as a member of the Graduate School METRK (Model-Based Development of Technologies for Self-Organizing Decentralized Information Systems in Disaster Management).
More details can be found on the METRIK Web pages
Relational database technology has been researched for decades and is widely used in production system. Utilizing this experience most approaches build on top of relational DBMS to manage RDF data. However, RDBMS have not been optimized to manage graph-like data, but tabular data. Additionally, RDF comes with its own query language (SPARQL) which especially allows to retrieve subgraphs from the RDF data. Considering the results of the Berlin SPARQL Benchmark we think that there is most likely room for improving the query processing within existing RDF repositories. Hereby, we focus on three areas: physical management of the RDF data, its indexing, and query optimization.
The project KnowledgeNets analyzes potential impacts of Semantic Web technologies on the electronic markets and the business specific value chains. Thus e-commerce scenarios are developed in which the new technologies are applied to various application domains. Afterwards these future scenarios are subject to experiments and analyzes.
We develop a novel architecture for query processing which we term “The Query Web” to address these challenges within a dynamic scenario where nodes regularly join and leave the network. By combining a distributed hash table approach with unstructured P2P networks, we expect the index to be reasonably insensitive to both changes of the network structure as well as updates of the data instances.