Uppsala DataBase Laboratory
New: Run the Linear Road
Benchmark simulation of a toll expressway system on your notebook:
massively parallel implemenation of the Linear Road Benchmark SCSQL-PLR
scales orders of magnitude better than other implementations.
We are responsible for the Doctoral study subject area on Computer Science with specialization in Database Technology, TNDAVE04. There is a doctoral study plan in Swedish or English. We are teaching doctoral student level courses on modern database technology within the programme. We are periodically giving a course on Principles of Modern Database Systems.
UDBL conducts research on methods and techniques for data and information management. Our research emphasis is on investigating how modern query processing can be used for querying and integrating information from heterogeneous databases, storage managers, and other information sources in a distributed environment.
The research direction of the group concentrates on developing methods for processing queries over distributed information in terms of i) semi-structured semantic web based representations and ii) high volume parallel data streams. A challenge in both cases is to provide scalable search as the data volume increases and the queries become complicated. Our approach is to develop smart data query transformation techniques and distributed query execution strategies.
participate in SMART VORTEX,
a Large Integrated Project co-financed by the European Union within the
Seventh Framework Programme. The goal of the project is to provide a
technological infrastructure consisting of a comprehensive suite of
interoperable tools, services, and methods for intelligent management
and analysis of massive data streams to achieve better collaboration
and decision making in industrial product life cycles. The project is a
collaboration between a number of European universities and industrial
We participate in eSSENCE, a Swedish e-science
research collaboration funded by VR to
create a research environment where the interplay between different
e-science competences will open up the field for novel applications,
more realistic simulations, and new scientific solutions, models and
In collaboration with Luleå University
of Technology the iStreams project
develops a distributed Data Stream Management System (DSMS) to
efficiently monitor, filter, mine, and analyze large volume data
streams originating in many vehicles or industrial products and
The goal of the project Scalable search of product
life cycle information (SSPI) with support from SSF is to
develop software systems for efficient and scalable search of product
data and meta-knowledge produced during the entire product life cycle.
The project aims to produce (1) novel methods for scalable search in high volume data streams, (2) novel scalable methods to verify systems based on data stream management system (DSMS) technology, (3) novel searchable semantic web based models to preserve product data, and (4) novel ways to verify the functioning of products in use.
With support from Vinnova and ASTRON we
have developed SCSQ
(SuperComputer Stream Query processor), a Data Stream Management
System (DSMS) to
process very high volume scientific data streams. SCSQ runs in a
massively parallel and heterogeneous computing environment containing
Linux clusters and an IBM BlueGene computer. SCSQ executes data stream
queries that filter, transform, and join data from receivers of low
frequence space radio signals.
We organized EDBT: 14th International Conference on Extending Database Technology, and ICDT: 14th International Conference on Database Theory, March 21-25, 2011.
Within the EU project Advanced eGovernment Information Service Bus we developed scalable methods to search wrapped eGovernment virtual repositories in terms of semantic web representations and queries. The RDFViewer system enables encapsulating (wrapping) different kinds of data sources to make them available for semantic web tools to query using the query languages SparQL, RDQL, or SQL.The SWARD (Semantic Web Abridged Relational Databases) subsystem wraps relational databases according to some ontology and SWATM (Semantic Web Abridged Topic Maps) wraps Topic Map data.
We participated in the project Personalized Access to Distributed Learning Repositories (PADLR) which was part of the Wallenberg global learning network research program on distributed collaborative learning innovations. Within PADLR we developed PSELO, a semantic web based query processing system for searching learning material from a peer-to-peer based educational infrastructure.
© 2007 Uppsala Universitet, Department of Information Technology, Box 337, 751 05 Uppsala, Sweden | This page is maintained by Tore Risch