Abstract
Temporal database approach is one of the most significant sphere of data processing, the basic part is exact time management, changes and progress monitoring over the time. Conventional database does not support time management, historical data can be processed only partially by difficult and time consuming transformations. Object level principle uses state granularity, thus the whole state is updated, if any attribute value is changed. This approach can be inappropriate, if the frequency and granularity of the changes is not the same and even time varying. This paper deals with object level and attribute level temporal architecture. Usually, data are shared, however, not all data should be accessible to all users, and therefore concept of index definition using contexts is proposed. In terms of efficiency, indexes are restructured using pointer mapping, hybrid context trees are defined.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bryla, B.: Oracle Database 11g Administration II Exam Guide. McGraw-Hill Education, New York (2009)
Calero, C.: Measuring oracle database schemas. In: IMACS/IEEE CSCC 1999 Proceedings, pp. 7101–7107 (1999)
Date, C.J.: Date on Database. Apress, New York (2006)
Date, C.J.: Logic and Databases – The Roots of Relational Theory. Trafford Publishing (2007)
Date, C.J., Darwen, H., Lorentzos, N.A.: Temporal Data and the Relational Model. Morgan Kaufmann, San Francisco (2003)
Feuerstein, S.: Oracle PL/SQL Programming. O’Reilly, Sebastopol (2009)
Haan, L., et al.: Applied Mathematics for Database Professionals. Apress, New York (2007). ISBN: 1590597451
Hornak, J.: The Basics of MRI. Interactive Learning Software (2008)
Hubler, P.N., Edelweiss, N.: Implementing a temporal database on top of a conventional database. In: Conference SCCC 2000, pp. 58–67 (2000)
Jähne, B.: Digital Image Processing, pp. 156–294. Springer, Heidelberg (2002). ISBN: 3-540-67754-2
Jensen, C.S., Snodgrass, R.T.: Temporally Enhanced Database Design. MIT Press, Cambridge (2000)
Janáček, J., Kvet, M.: Min-max optimization of emergency service system by exposing constraints. In: Communications: Scientific Letters of the University of Žilina, vol. 2/2015, pp. 15–22 (2015)
Janáček, J., Kvet, M.: Public service system design by radial formulation with dividing points. Procedia Comput. Sci. 51, 2277–2286 (2015)
Janáček, J., Kvet, M.: Sequential approximate approach to the p-median problem. Comput. Ind. Eng. 94, 83–92 (2016). Elsevier. ISSN: 0360-8352
Johnston, T.: Bitemporal Data – Theory and Practice. Morgan Kaufmann, San Francisco (2014)
Johnston, T., Weis, R.: Managing Time in Relational Databases. Morgan Kaufmann, San Francisco (2010)
Kvassay, M., Zaitseva, E., Levashenko, V., Kostolny, J.: Minimal cut vectors and logical differential calculus. In: 2014 IEEE 44th International Symposium on Multiple-Valued Logic, pp. 167–172 (2014)
Kvassay, M., Zaitseva, E., Kostolny, J., Levashenko, V.: Importance analysis of multi-state systems based on integrated direct partial logic derivatives. In: 2015 International Conference on Information and Digital Technologies, pp. 183–195 (2015)
Kvet, M.: Temporal data approach performance. In: New developments in Circuits, Systems, Signal Processing, Communications and Computers: Proceedings of the International Conference Circuits, Systems, Signal Processing, Communications and Computers (CSSCC 2015), Vienna, Austria, pp. 75–83, 15–17 March 2015
Kvet, M., Janáček, J.: Relevant network distances for approximate approach to the p-median problem. In: Helber, S., et al. (eds.) Operations Research Proceedings 2012: Selected Papers of the International Conference of the German operations research society (GOR), Leibniz Univesität Hannover, Germany, pp. 123–128. Springer, Switzerland (2014). ISSN: 0721-5924, ISBN: 978-3-319-00794-6
Kvet, M., Matiaško, K.: Transaction management. In: CISTI, Barcelona, pp. 868–873 (2014)
Kvet, M., Vajsová, M.: Transaction management in fully temporal system. In: UkSim, Pisa, pp. 147–152 (2014)
Kvet, M., Matiaško, K., Kvet, M.: Complex time management in databases. Central Eur. J. Comput. Sci. 4(4), 269–284 (2014)
Lewis, P., Bernstein, A., Kifer, M.: Databases and Transaction Processing. An Application Oriented Approach. Addison-Wesley, Reading (2002)
Maté, J.: Transformation of relational databases to transaction-time temporal databases. In: ECBS-EERC, pp. 27–34 (2011)
Matiaško, K., et al.: Database Systems. EDIS (2008)
Simsion, G.C., Witt, G.C.: Data Modeling Essentials. Elsevier, Amsterdam (2005)
Snodgrass, R.: Developing Time-Oriented Database Applications in SQL. Morgan Kaufmann Publishers, San Francisco (2000)
Acknowledgment
This publication is the result of the project implementation:
Centre of excellence for systems and services of intelligent transport, ITMS 26220120028 supported by the Research & Development Operational Programme funded by the ERDF and Centre of excellence for systems and services of intelligent transport II., ITMS 26220120050 supported by the Research & Development Operational Programme funded by the ERDF.
This paper is also the result of the project implementation Center of translational medicine, ITMS 26220220021 supported by the Research & Development Operational Programme funded by the ERDF.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Kvet, M., Matiaško, K. (2017). Temporal Context Manager. In: Janech, J., Kostolny, J., Gratkowski, T. (eds) Proceedings of the 2015 Federated Conference on Software Development and Object Technologies. SDOT 2015. Advances in Intelligent Systems and Computing, vol 511. Springer, Cham. https://doi.org/10.1007/978-3-319-46535-7_14
Download citation
DOI: https://doi.org/10.1007/978-3-319-46535-7_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-46534-0
Online ISBN: 978-3-319-46535-7
eBook Packages: EngineeringEngineering (R0)