K
Kai-Uwe Sattler
Researcher at Technische Universität Ilmenau
Publications - 288
Citations - 3136
Kai-Uwe Sattler is an academic researcher from Technische Universität Ilmenau. The author has contributed to research in topics: Computer science & Query optimization. The author has an hindex of 26, co-authored 259 publications receiving 2910 citations. Previous affiliations of Kai-Uwe Sattler include Otto-von-Guericke University Magdeburg.
Papers
More filters
Proceedings ArticleDOI
Data summaries for on-demand queries over linked data
TL;DR: An approximate index structure summarising graph-structured content of sources adhering to Linked data principles is developed, an algorithm for answering conjunctive queries over Linked Data on theWeb exploiting the source summary is provided, and the system is evaluated using synthetically generated queries.
Proceedings ArticleDOI
The mixed workload CH-benCHmark
Richard L. Cole,Florian Funke,Leo Giakoumakis,Wey Guy,Alfons Kemper,Stefan Krompass,Harumi Kuno,Raghunath Nambiar,Thomas Neumann,Meikel Poess,Kai-Uwe Sattler,Michael Seibold,Eric Simon,Florian Waas +13 more
TL;DR: The definition of a new, complex, mixed workload benchmark, called mixed workload CH-benCHmark, which bridges the gap between the established single-workload suites of TPC-C for OLTP and T PC-H for OLAP, and executes a complex mixed workload.
Journal ArticleDOI
Report on the Dagstuhl Seminar
TL;DR: The objective of the Dagstuhl Seminar was to foster collaboration among researchers that deal with DQ in different areas, assess existing results in managing the quality of data, and establish a framework for future research in the area of DQ.
BookDOI
Current trends in database technology -- EDBT 2006 : EDBT 2006 Workshops PhD, DataX, IIDB, IIHA, ICSNW, QLQP, PIM, PaRMA, and Reactivity on the Web, Munich, Germany, March 26-31, 2006 : revised selected papers
Torsten Grust,Hagen Höpfner,Arantza Illarramendi,Stefan Jablonski,Marco Mesiti,Sascha Müller,Paula-Lavinia Patranjan,Kai-Uwe Sattler,Myra Spiliopoulou,Jef Wijsen +9 more
TL;DR: This presentation discusses Scalable Continuous Query Processing and Moving Object Indexing in Spatio-temporal Databases, and Managing Valid Time Semantics for Semistructured Multimedia Clinical Data.
Journal ArticleDOI
Efficient similarity-based operations for data integration
TL;DR: A similarity-based variants of grouping and join operators that produces groups of similar tuples, the extended join combines tuples satisfying a given similarity condition is presented.