2010 - ACM Fellow For advances in XML data management and distributed information systems.
Donald Kossmann mainly focuses on Database, Query optimization, View, Query language and Sargable. His Database research integrates issues from Distributed computing, Set, Benchmark, Range and Cloud computing. His research in Set intersects with topics in Systems architecture, Information retrieval, Online algorithm and Skyline.
Donald Kossmann interconnects SQL, Theoretical computer science, Spatial query, Relational database and Materialized view in the investigation of issues within Query optimization. His work carried out in the field of View brings together such families of science as Online aggregation and Database model. His Sargable research is multidisciplinary, relying on both Query by Example, Query expansion and Web query classification.
Donald Kossmann mainly focuses on Database, World Wide Web, Distributed computing, Data mining and Cloud computing. His study in View, Query optimization, Database design, Database testing and SQL falls within the category of Database. His biological study spans a wide range of topics, including Query language, Web query classification and Sargable.
The concepts of his Sargable study are interwoven with issues in Query by Example and Query expansion. The various areas that Donald Kossmann examines in his SQL study include Spatial query, Set and Benchmark. His Distributed computing research is multidisciplinary, incorporating elements of Scalability and Hash function.
His main research concerns Cloud computing, Database, Price equation, Distributed computing and Information retrieval. His Cloud computing research is multidisciplinary, incorporating perspectives in Set, Hash function, State and Encryption. His study in SQL and Data management is carried out as part of his Database studies.
The SQL study combines topics in areas such as High availability, Spatial query, Data integration and SOCRATES. His Distributed computing study combines topics from a wide range of disciplines, such as Process and Server. His work deals with themes such as Field, Raw data and Index, which intersect with Information retrieval.
Donald Kossmann spends much of his time researching Distributed computing, Scalability, Information retrieval, Field and Key. His Distributed computing research includes themes of Process, Data structure, Joins and Database. Donald Kossmann carries out multidisciplinary research, doing studies in Database and Concerto.
Donald Kossmann works mostly in the field of Scalability, limiting it down to topics relating to Data management and, in certain cases, Computer network. His studies in Information retrieval integrate themes in fields like Ambiguity, Syntax, Parsing and Index. His study in Key is interdisciplinary in nature, drawing from both Value and Benchmark.
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.
The Skyline operator
S. Borzsony;D. Kossmann;K. Stocker.
international conference on data engineering (2001)
Shooting stars in the sky: an online algorithm for skyline queries
Donald Kossmann;Frank Ramsak;Steffen Rost.
very large data bases (2002)
The state of the art in distributed query processing
ACM Computing Surveys (2000)
CrowdDB: answering queries with crowdsourcing
Michael J. Franklin;Donald Kossmann;Tim Kraska;Sukriti Ramesh.
international conference on management of data (2011)
Optimizing Queries Across Diverse Data Sources
Laura M. Haas;Donald Kossmann;Edward L. Wimmers;Jun Yang.
very large data bases (1997)
Answering XML Queries on Heterogeneous Data Sources
Ioana Manolescu;Daniela Florescu;Donald Kossmann.
very large data bases (2001)
Building a database on S3
Matthias Brantner;Daniela Florescu;David Graf;Donald Kossmann.
international conference on management of data (2008)
On saying “Enough already!” in SQL
Michael J. Carey;Donald Kossmann.
international conference on management of data (1997)
Integrating keyword search into XML query processing
Daniela Florescu;Donald Kossmann;Ioana Manolescu.
the web conference (2000)
A Performance Evaluation of Alternative Mapping Schemes for Storing XML Data in a Relational Database
Daniela Florescu;Donald Kossmann.
Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: