Skip to main content

Access to Multigranular Temporal Objects

  • Conference paper
Flexible Query Answering Systems (FQAS 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3055))

Included in the following conference series:

Abstract

In this paper we discuss access to object attributes in a multigranular temporal object-oriented data model that handles the expiration of dynamic attributes, according to the age of data and their granularity [4]. Different strategies can be applied, with respect to available data and to the preferences specified by the user on either accuracy or efficiency in executing a query. We devise some properties of object access that can be applied to speed up the query process, such as the invariance of the queries results with respect to expiration operations, and the static detection of unsolvability of a query.

This work has been supported by the EU under the IST Panda project.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bertino, E., Ferrari, E., Guerrini, G., Merlo, I.: T_ODMG: An ODMG Compliant Temporal Object Model Supporting Multiple Granularity Management. Information Systems 28(8), 885–927 (2003)

    Article  Google Scholar 

  2. Bettini, C., Dyreson, C., Evans, W., Snodgrass, R., Wang, X.: A glossary of time granularity concepts. In: Etzion, O., Jajodia, S., Sripada, S. (eds.) Dagstuhl Seminar 1997. LNCS, vol. 1399, pp. 406–413. Springer, Heidelberg (1998)

    Chapter  Google Scholar 

  3. Bettini, C., Wang, X.S., Jajodia, S.: Temporal Semantic Assumptions and Their Use in Databases. IEEE Transactions on Knowledge and Data Engineering 10(2), 277–296 (1998)

    Article  Google Scholar 

  4. Camossi, E., Bertino, E., Guerrini, G., Mesiti, M.: Handling Expiration of Multigranular Temporal Objects. Journal of Logic and Computation 4(1), 23–50 (2004)

    Article  MathSciNet  Google Scholar 

  5. Dyreson, C.E., Snodgrass, R.: Supporting Valid-time Indeterminacy. ACM Transactions on Database Systems 23(1), 1–57 (1998)

    Article  Google Scholar 

  6. Dyreson, C.E., Evans, W.S., Lin, H., Snodgrass, R.: Efficiently Supporting Temporal Granularities. IEEE Transactions on Knowledge and Data Engineering 12(4), 568–587 (2000)

    Article  Google Scholar 

  7. Gupta, A., Harinarayan, V., Quass, D.: Aggregate Query Processing in Data Warehousing Environment. In: Proc. 21st Int’l Conf. on Very Large Data Bases, pp. 358–369 (1995)

    Google Scholar 

  8. Shoham, Y.: Temporal Logics in AI: Semantical and Ontological Considerations. Artificial Intelligence 33(1), 89–104 (1987)

    Article  MATH  MathSciNet  Google Scholar 

  9. Skyt, J., Jensen, C.: Persistent Views - A Mechanism for Managing Aging Data. The Computer Journal 45(5), 481–492 (2002)

    Article  MATH  Google Scholar 

  10. Skyt, J., Jensen, C.S., Mark, L.: A Foundation for Vacuuming Temporal Databases. Data & Knowledge Engineering 44(1), 1–29 (2003)

    Article  MATH  Google Scholar 

  11. Srivastava, D., Dar, S., Jagadish, H., Levy, A.: Answering Queries with Aggregation Using Views. In: Proc. 22nd Int’l Conf. on Very Large Data Bases, pp. 318–329 (1996)

    Google Scholar 

  12. Yang, J., Widom, J.: Incremental Computation and Maintenance of Temporal Aggregates. In: Proc. of 17th International Conference on Data Engineering, pp. 51–60 (2001)

    Google Scholar 

  13. Zhang, D., Gunopulos, D., Tsotras, V.J., Seeger, B.: Temporal and Spatio- Temporal Aggregation over Data Streams Using Multiple Time Granularities. Information Systems 28(1-2), 61–84 (2003)

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Bertino, E., Camossi, E., Guerrini, G. (2004). Access to Multigranular Temporal Objects. In: Christiansen, H., Hacid, MS., Andreasen, T., Larsen, H.L. (eds) Flexible Query Answering Systems. FQAS 2004. Lecture Notes in Computer Science(), vol 3055. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25957-2_26

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-25957-2_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22160-9

  • Online ISBN: 978-3-540-25957-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics