uu.seUppsala University Publications
Change search
Refine search result
123 1 - 50 of 146
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Rows per page
  • 5
  • 10
  • 20
  • 50
  • 100
  • 250
Sort
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
Select
The maximal number of hits you can export is 250. When you want to export more records please use the Create feeds function.
  • 1.
    Andrejev, Andrej
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
    He, Xueming
    Risch, Tore
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
    Scientific data as RDF with arrays: Tight integration of SciSPARQL queries into MATLAB2014In: Proc. ISWC 2014 Posters & Demonstrations Track, RWTH Aachen University , 2014, p. 221-224Conference paper (Refereed)
    Abstract [en]

    We present an integrated solution for storing and querying scientific data and metadata, using MATLAB envi ronment as client front-end and our prototype DBMS on the server. We use RDF for experiment metadata, and numeric arrays for the rest. Our extension of SPARQL supports array operations and extensibility with foreign functions.

  • 2.
    Andrejev, Andrej
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
    Risch, Tore
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
    Scientific SPARQL: Semantic web queries over scientific data2012In: Proc. 28th International Conference on Data Engineering Workshops, IEEE Computer Society, 2012, p. 5-10Conference paper (Refereed)
  • 3.
    Andrejev, Andrej
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
    Toor, Salman
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computational Science.
    Hellander, Andreas
    Holmgren, Sverker
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computational Science.
    Risch, Tore
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
    Scientific analysis by queries in extended SPARQL over a scalable e-Science data store2013In: Proc. 9th International Conference on e-Science, Los Alamitos, CA: IEEE Computer Society, 2013, p. 98-106Conference paper (Refereed)
  • 4.
    Badiozamany, Sobhan
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
    Melander, Lars
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
    Truong, Thanh
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
    Xu, Cheng
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
    Risch, Tore
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
    Grand challenge: Implementation by frequently emitting parallel windows and user-defined aggregate functions2013In: Proc. 7th ACM International Conference on Distributed Event-Based Systems, New York: ACM Press, 2013, p. 325-330Conference paper (Refereed)
  • 5.
    Badiozamany, Sobhan
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
    Risch, Tore
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
    Scalable ordered indexing of streaming data2012In: 3rd International Workshop on Accelerating Data Management Systems using Modern Processor and Storage Architectures, 2012, p. 11-Conference paper (Refereed)
  • 6.
    Cassel, Kristofer
    et al.
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. Computing science.
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. Computing science.
    An Object-Oriented Multi-Mediator Browser2001In: 2nd International Workshop on User Interfaces to Data Intensive Systems, 2001Conference paper (Refereed)
  • 7. Duda, Dick
    et al.
    Hart, Peter
    Reboh, Rene
    Reiter, John
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. Datalogi.
    SYNTEL: Using a Functional Language for Financial Risk Assessment1987In: IEEE Expert, Vol. 2, no 3Article in journal (Refereed)
    Abstract [en]

    This article describes Syntel, a knowledge representation language used in building large-scale expert systems for financial risk assessment. Syntel is an outgrowth of rule-based systems such as MYCIN and network-based systems such as Prospector. Unlike typical rule- or frame-based expert system shells, however, Syntel is a data-driven, purely functional language providing probabilistic inference plus many kinds of functionality associated with spreadsheets and database systems.

  • 8. Elin, Dan
    et al.
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. Datalogi.
    Amos II Java Interfaces2000Report (Other scientific)
  • 9. Fahl, Gustav
    et al.
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. Computing science.
    Query Processing over Object Views of Relational Data1997In: The VLDB Journal, Vol. 6, no 4, p. 261-281Article in journal (Refereed)
  • 10. Fahl, Gustav
    et al.
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. Datalogi.
    Sköld, Martin
    AMOS - An Architecture for Active Mediators1993In: Workshop on Next Generation Information Technologies and Systems (NGITS), 1993Conference paper (Refereed)
  • 11. Fishman, Dan
    et al.
    Beech, David
    Annelevink, Jurgen
    Chow, C
    Connors, Tim
    Davis, Jim W
    Hasan, Waqar
    Hoch, Charles G
    Kent, Bill
    Leichner, Stepanie
    Lyngbaek, Peter
    Mahbod, Brom
    Neimat, Marie-Anne
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. Datalogi.
    Overview of the IRIS DBMS1990In: Research Foundations in Object-Oriented and Semantic Database System, 1990Chapter in book (Refereed)
  • 12. Fisman, Dan
    et al.
    Beech, David
    Annevelink, Jurgen
    Chow, Chen
    Connors, Tim
    Davis, Jim
    Hasan, Waqar
    Hoch, Charles
    Kent, Bill
    Leichner, Stefanie
    Lyngbaek, Peter
    Mahbod, Brom
    Neimat, Marie-Anne
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. Datalogi.
    Shan, Ming-Chien
    Wilkinson, Kevin
    Overview of the IRIS DBMS1990In: Object-Oriented Concepts, Databases, and Applications, ACM Press , 1990Chapter in book (Refereed)
  • 13. Fjällström, Per-Olof
    et al.
    Neider, G
    Persson, M
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. Datalogi.
    Svensson, Per
    Arkitekturprinciper för informationsöverlägsenhet i framtidens ledningssystem2000Report (Other scientific)
  • 14. Flodin, Staffan
    et al.
    Hansson, Martin
    Josifovski, Vanja
    Katchaounov, Timour
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. Datalogi.
    Sköld, Martin
    Amos II Release 8 User's Manual2005Report (Other scientific)
  • 15. Flodin, Staffan
    et al.
    Orsborn, Kjell
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. COMPUTING SCIENCE.
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. COMPUTING SCIENCE.
    Using Queries with Multi-Directional Functions for for Numerical Database Applications1998In: 2nd East-European Symposium on Advances in Databases and Information Systems (ADBIS'98), 1998Conference paper (Refereed)
  • 16. Flodin, Staffan
    et al.
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. Datalogi.
    Processing Object-Oriented Queries with Invertible Late Bound Functions1995In: The 21st International Conference on Very Large Data Bases (VLDB'95), 1995Conference paper (Refereed)
  • 17.
    Fomkin, Ruslan
    et al.
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. Datalogi.
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. Datalogi.
    Cost-based Optimization of Complex Scientific Queries2007In: 19th International Conference on Scientific and Statistical Database Management (SSDBM 2007), 2007Conference paper (Refereed)
  • 18.
    Fomkin, Ruslan
    et al.
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. Datalogi.
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. Datalogi.
    Framework for Querying Distributed Objects Managed by a Grid Infrastructure2005In: Data Management in Grids: First VLDB Workshop, DMG 2005, Trondheim, Norway, September 2-3, 2005, Revised Selected Papers, 2005Conference paper (Refereed)
    Abstract [en]

    Queries over scientific data often imply expensive analyses of data requiring a lot of computational resources available in Grids. We are developing a customizable query processor built on top of an established Grid infrastructure, the NorduGrid middleware, and have implemented a framework for managing long running queries in Grid environment. With the framework the user does not specify the detailed job and parallelization descriptions required by NorduGrid. Instead s/he specifies queries in terms of an application-oriented schema describing contents of files managed by the Grid and accessed through wrappers. When a query is received by the system it generates NorduGrid job descriptions submitted to NorduGrid for execution. The framework considers limitations of NorduGrid. It includes a submission mechanism, a job babysitter, and a generic data exchange mechanism. The submission mechanism generates a number of jobs for parallel execution of a user query over wrapped data files. The task of the babysitter is to submit generated jobs to NorduGrid for the execution, to monitor their execution status, and to download results from the execution. The generic exchange mechanism provides a way to exchange objects through files between Grid execution nodes and user applications.

  • 19.
    Fomkin, Ruslan
    et al.
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. Datalogi.
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science.
    Managing Long Running Queries in Grid Environment,2004In: 1st Intl. Workshop on GRID Computing and its Applications to Data Analysis (GADA'04), 2004Conference paper (Refereed)
  • 20.
    Fomkin, Ruslan
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
    Risch, Tore
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
    Optimization and Execution of Complex Scientific Queries over Uncorrelated Experimental Data2009In: Scientific and Statistical Database Management / [ed] Winslett, Marianne, Berlin: Springer-Verlag , 2009, p. 320-338Conference paper (Refereed)
    Abstract [en]

    Scientific experiments produce large volumes of data represented as complex objects that describe independent events such as particle collisions. Scientific analyses can be expressed as queries selecting objects that satisfy complex local conditions over properties of each object. The conditions include joins, aggregate functions, and numerical computations. Traditional query processing where data is loaded into a database does not perform well, since it takes time and space to load and index data. Therefore, we developed SQISLE to efficiently process in one pass large queries selecting complex objects from sources. Our contributions include runtime query optimization strategies, which during query execution collect runtime query statistics, reoptimize the query using collected statistics, and dynamically switch optimization strategies. Furthermore, performance is improved by query rewrites, temporary view materializations, and compile time evaluation of query fragments. We demonstrate that queries in SQISLE perform close to hard-coded C++ implementations of the same analyses.

  • 21. Fredriksson, Jesper
    et al.
    Svensson, Per
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. Datalogi.
    Mediator-Based Evolutionary design and Meta-Analysis Environments2001In: Journal of Intelligent Information Systems, Vol. 17, no 2-3, p. 301-322Article in journal (Refereed)
  • 22.
    Gidófalvi, Gyözö
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
    Bach Pedersen, Torben
    Risch, Tore
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
    Zeitler, Erik
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
    Highly Scalable Trip Grouping for Large Scale Collective Transportation Systems2008In: Proc. 11th International Conference on Extending Database Technology, EDBT 2008, 2008Conference paper (Refereed)
    Abstract [en]

    Transportation–related problems, like road congestion, park-ing, and pollution are increasing in most cities. In order toreduce traffic, recent work has proposed methods for vehiclesharing, for example for sharing cabs by grouping “closeby”cab requests and thus minimizing transportation cost andutilizing cab space. However, the methods proposed so fardo not scale to large data volumes, which is necessary tofacilitate large scale collective transportation systems, e.g.,ride–sharing systems for large cities.This paper presents highly scalable “trip grouping” algo-rithms, that generalize previous techniques and support in-put rates that can be orders of magnitude larger. The follow-ing three contributions make the grouping algorithms scal-able. First, the basic grouping algorithm is expressed as acontinuous stream query in a data stream management sys-tem to allow for very large flows of requests. Second, follow-ing the divide–and–conquer paradigm, four space–partition-ing policies for dividing the input data stream into sub–streams are developed and implemented using continuousstream queries. Third, using the partitioning policies, par-allel implementations of the grouping algorithm in a paral-lel computing environment are described. Extensive experi-mental results show that the parallel implementation usingsimple adaptive partitioning methods can achieve speed–upsof several orders of magnitudes without significantly effect-ing the quality of the grouping.

  • 23. Grufman, S
    et al.
    Samson, F
    Embury, S.M.
    Gray, P.M.D
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. Datalogi.
    Distributing Semantic Constraints Between Heterogeneous Databases1997In: The 13th International Conference on Data Engineering (ICDE'97), 1997Conference paper (Refereed)
  • 24.
    Ivanova, Milena
    et al.
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. Datalogi.
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. Datalogi.
    Customizable parallel execution of scientific stream queries2005In: 31st International Conference on Very Large Data Bases, 2005Conference paper (Refereed)
    Abstract [en]

    Scientific applications require processing high-volume on-line streams of numerical data from instruments and simulations. We present an extensible stream database system that allows scalable and flexible continuous queries on such streams. Application dependent streams and query functions are defined through an object-relational model. Distributed execution plans for continuous queries are described as high-level data flow distribution templates. Using a generic template we define two partitioning strategies for scalable parallel execution of expensive stream queries: window split and window distribute. Window split provides operators for parallel execution of query functions by reducing the size of stream data units using application dependent functions as parameters. By contrast, window distribute provides operators for customized distribution of entire data units without reducing their size. We evaluate these strategies for a typical high volume scientific stream application and show that window split is favorable when expensive queries are executed on limited resources, while window distribution is better otherwise.

  • 25. Jainz, M
    et al.
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. Datalogi.
    A Data Manager for the Health Information System Berlin1976In: Computer Programs in Biomedicine, no 6Article in journal (Refereed)
  • 26. Johanson, Mathias
    et al.
    Karlsson, Lennart
    Luleå University of Technology.
    Risch, Tore
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
    Relaying Controller Area Network Frames over Wireless Internetworks for Automotive Testing Applications2009In: Proc. 4th International Conference on Systems and Networks Communications, Piscataway, NJ: IEEE , 2009, p. 1-5Conference paper (Refereed)
    Abstract [en]

    In this paper we describe how Controller Area Network (CAN) frames can be relayed over a wireless Internet connection, enabling remote access to the CAN buses of vehicles for applications in automotive testing. This opens up many new possibilities for automotive diagnostics, monitoring, testing, analysis and verification, which we believe can significantly reduce the time required for the testing and verification phases of automotive development. A CAN-over-IP tunneling protocol is described and the design and implementation of a generic system for remote access to the CAN bus of vehicles is presented. Examples of applications of the technology are given and implications in terms of new possibilities and challenges in automotive engineering are discussed.

  • 27. Josifovski, Vanja
    et al.
    Katchaounov, Timour
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. Datalogi.
    Join Strategies for Distributed Mediation2001In: 5th East-European Conference on Advances in Databases and Information Systems, 2001Conference paper (Refereed)
  • 28. Josifovski, Vanja
    et al.
    Katchaounov, Timour
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. COMPUTING SCIENCE.
    Optimizing queries in distributed and composable mediators1999In: Proc. 4th Conference on Cooperative Information Systems, CoopIS'99, 1999Conference paper (Refereed)
  • 29. Josifovski, Vanja
    et al.
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. COMPUTING SCIENCE.
    Calculus-based Transformations of Queries over Object-Oriented Views in a Database Mediator System1998In: 3rd IFCIS International Conference on Cooperative Information Systems, 1998Conference paper (Refereed)
  • 30. Josifovski, Vanja
    et al.
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. Datalogi.
    Comparison of Amos II with other Data Integration Projects1999Report (Other scientific)
  • 31. Josifovski, Vanja
    et al.
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. COMPUTING SCIENCE.
    Distributed Mediation using a Light-Weight OODBMS1999In: 1st ECOOP Workshop on Object-Oriented Databases, 1999Conference paper (Refereed)
  • 32. Josifovski, Vanja
    et al.
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. COMPUTING SCIENCE.
    Functional Query Optimization over Object-Oriented Views for Data Integration1999In: Journal of Intelligent Information Systems (JIIS), Vol. 12, no 2-3Article in journal (Refereed)
  • 33. Josifovski, Vanja
    et al.
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. COMPUTING SCIENCE.
    Integrating Heterogeneous Overlapping Databases through Object-Oriented Transformations1999In: Proc. 25th Intl. Conf. On Very Large Databases, 1999Conference paper (Refereed)
  • 34. Josifovski, Vanja
    et al.
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. Datalogi.
    Query Decomposition for a Distributed Object-Oriented Mediator System2002In: Distributed and Parallel Databases J., Vol. 11, no 3, p. 307-336Article in journal (Refereed)
  • 35. Karlsson, Jonas S
    et al.
    Larsson, Staffan
    Orsborn, Kjell
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. Datalogi.
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. Datalogi.
    Sköld, Martin
    Werner, Magnus
    AMOS.v1 User's Guide1994Report (Other scientific)
  • 36. Karlsson, Jonas S
    et al.
    Litwin, Witold
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. Datalogi.
    LH*lh : A Scalable High Performance Data Structure for Switched Multicomputers1996In: The 5th International Conference on Extending Database Technology (EDBT'96), 1996Conference paper (Refereed)
  • 37. Katchaounov, Timour
    et al.
    Josifovski, Vanja
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. Datalogi.
    Distributed View Expansion in Composable Mediators2000Report (Other scientific)
  • 38. Katchaounov, Timour
    et al.
    Josifovski, Vanja
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. Datalogi.
    Distributed View Expansion in Object-Oriented Mediators2000In: Fifth IFCIS International Conference on Cooperative Information Systems, Eilat, Israel, 2000Conference paper (Refereed)
    Abstract [en]

    Data integration on a large scale poses complexity and

  • 39. Katchaounov, Timour
    et al.
    Josifovski, Vanja
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. Datalogi.
    Scalable View Expansion in a Peer Mediator System2003In: Proc. 8th International Conference on Database Systems for Advanced Applications (DASFAA 2003), 2003Conference paper (Refereed)
  • 40. Katchaounov, Timour
    et al.
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. Datalogi.
    Interface Capabilities for Query Processing in Peer Mediator Systems2003Report (Other scientific)
  • 41. Katchaounov, Timour
    et al.
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. Datalogi.
    Zürcher, Simon
    Object-Oriented Mediator Queries to Internet Search Engines2002In: Advances in Object-Oriented Information Systems, 2002Conference paper (Refereed)
  • 42. Ketabchi, M.A
    et al.
    Mathur, S
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. Datalogi.
    Comparative analysis of RDBMS and OODBMS: a case study1990In: Proc. of the COMPCON IEEE Computer Society International Conference, 1990Conference paper (Refereed)
    Abstract [en]

    The underlying hypothesis of the case study described in this article is that the development, implementation, operations, and maintenance of large complex data intensive applications such as computer integrated manufacturing can be simplified through the use of object-oriented DBMS. The objective of the case study is to verify this hypothesis.

    The approach of the case study is to prototype selected representative components of a computer integrated manufacturing system, which have been developed on top of a relational DBMS, using an object-oriented DBMS.

    The results of the study illustrate that the object-oriented prototype has a superior schema, is capable of providing convenient access to information, and is easier to extend and maintain.

  • 43.
    Koch, Sabine
    et al.
    Uppsala University, Medicinska vetenskapsområdet, Faculty of Medicine, Centre for eHealth. Department of Medical Sciences. Teknisk-naturvetenskapliga vetenskapsområdet, Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science.
    Risch, Tore
    Mathematics and Computer Science, Department of Information Technology. Teknisk-naturvetenskapliga vetenskapsområdet, Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. Datalogi.
    Schneider, Werner
    Humanistisk-samhällsvetenskapliga vetenskapsområdet, Faculty of Social Sciences, Department of Information Science. Teknisk-naturvetenskapliga vetenskapsområdet, Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science.
    Wagner, Ina-Veronika
    Humanistisk-samhällsvetenskapliga vetenskapsområdet, Faculty of Social Sciences, Department of Information Science. Teknisk-naturvetenskapliga vetenskapsområdet, Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science.
    An Object-relational Model for Structured Representation of Medical Knowledge2006In: International Journal of Computerized Dentistry, ISSN 1463-4201, Vol. 9, p. 237-252Article in journal (Refereed)
  • 44. Koparanova, Milena
    et al.
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. Datalogi.
    Completing CAD Data Queries for Visualization2002In: International Database Engineering and Applications Symposium (IDEAS 2002), Edmonton, Canada, 2002Conference paper (Refereed)
  • 45. Lin, H
    et al.
    Risch, T
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology.
    Katchaounov, T
    Object-Oriented Mediator Queries to XML Data2000In: Proc. 1st Intl. Conf. on Web Information Systems Engineering, 2000Conference paper (Refereed)
  • 46. Lin, Hui
    et al.
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. Datalogi.
    Adaptive data mediation over XML data2002In: Journal of Applied System Studies (JASS), Vol. 3, no 2Article in journal (Refereed)
  • 47. Lin, Hui
    et al.
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. Datalogi.
    Katchaounov, Timour
    Object-Oriented Mediator Queries to XML Data2000In: The International Workshop on World Wide Web Semantics (WebSem 2000), 2000Conference paper (Refereed)
  • 48. Lin, L
    et al.
    Risch, T
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. COMPUTING SCIENCE.
    Indexing Interpolated Time Sequences1996Report (Other scientific)
  • 49. Lin, Ling
    et al.
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. Datalogi.
    Indexing Interpolated Time Sequences1996Report (Other scientific)
  • 50. Lin, Ling
    et al.
    Risch, Tore
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. COMPUTING SCIENCE.
    Querying Continuous Time Sequences1998In: 24th International Conference on Very Large Data Bases (VLDB'98), 1998Conference paper (Refereed)
123 1 - 50 of 146
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf