Dataspaces: A New Abstraction for Information Management
- Alon Y. HalevyAffiliated withGoogle Inc.
- , Michael J. FranklinAffiliated withUniversity of California at Berkeley
- , David MaierAffiliated withPortland State University
Most data management scenarios today rarely have a situation in which all the data that needs to be managed can fit nicely into a conventional relational DBMS, or into any other single data model or system. Instead, we see a set of loosely connected data sources, typically with the following recurring challenges:
– Users want be able to search the entire collection without having knowledge of individual sources, their schemas or interfaces. In some cases, they merely want to know where the information exists as a starting point to further exploration.
– An organization may want to enforce certain rules, integrity constraints, or conventions (e.g., on naming entities) across the entire collection, or track flow and lineage between systems. Furthermore, the organization needs to create a coherent external view of the data.
– The administrators may want to impose a single “support system” in terms of recovery, availability, and redundancy, as well as uniform security and access controls.
– Users and administrators need to manage the evolution of the data, both in terms of content and schemas, in particular as new data sources get added (e.g., as a result of mergers or new partnerships).
- Dataspaces: A New Abstraction for Information Management
- Book Title
- Database Systems for Advanced Applications
- Book Subtitle
- 11th International Conference, DASFAA 2006, Singapore, April 12-15, 2006. Proceedings
- pp 1-2
- Print ISBN
- Online ISBN
- Series Title
- Lecture Notes in Computer Science
- Series Volume
- Series ISSN
- Springer Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- Additional Links
- Industry Sectors
- Editor Affiliations
- 16. Department of Computer Science, National University of Singapore
- 17. School of Computing, National University of Singapore
- 18. School of Engineering and Technology, Asian Institute of Technology
- Author Affiliations
- 19. Google Inc.,
- 20. University of California at Berkeley,
- 21. Portland State University,
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