Publication: Extending the kernel of a relational dbms with comprehensive support for sequenced temporal queries
Date
Date
Date
2016
Journal Article
Published version
Abstract
Abstract
Abstract
Many databases contain temporal, or time-referenced, data and use intervals to capture the temporal aspect. While SQL-based database management systems (DBMSs) are capable of supporting the management of interval data, the support they offer can be improved considerably. A range of proposed temporal data models and query languages offer ample evidence to this effect. Natural queries that are very difficult to formulate in SQL are easy to formulate in these temporal query languages. The increased focus on analytics over historical data
Additional indexing
Creators (Authors)
Volume
Volume
Volume
41
Number
Number
Number
4
Page range/Item number
Page range/Item number
Page range/Item number
1
Page end
Page end
Page end
46
Item Type
Item Type
Item Type
Journal Article
In collections
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Scope
Scope
Scope
Discipline-based scholarship (basic research)
Language
Language
Language
English
Publication date
Publication date
Publication date
2016
Date available
Date available
Date available
2017-01-06
Publisher
Publisher
Publisher
Association for Computing Machinery
ISSN or e-ISSN
ISSN or e-ISSN
ISSN or e-ISSN
0362-5915
Additional Information
Additional Information
Additional Information
© 2017 ACM, Inc. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in ACM Transactions on Database Systems (TODS),
Volume 41 Issue 4, December 2016, Article No. 26, http://dx.doi.org/10.1145/2967608
OA Status
OA Status
OA Status
Green
Publisher DOI
Other Identification Number
Other Identification Number
Other Identification Number
merlin-id:14054
Green Open Access
Loading...