Nothing Special   »   [go: up one dir, main page]

Skip to main content

The MYDDAS Project: Using a Deductive Database for Traffic Characterization

  • Conference paper
Logic Programming (ICLP 2005)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 3668))

Included in the following conference series:

Abstract

The MYDDAS project (Mysql/Yap Deductive DAtabase System) is developing a deductive database system by coupling Yap Prolog with MySQL[1]. Although this coupling approach between a logic system and a relational database management system has been quite explored[5], our system tries to go a step further in terms of the degree of tightness in the interface architecture between the two systems. Examples of this improved integration include the representation of relational tuples directly in choice-points, with a transparent support for cuts over EDB predicates; the extended use of the tabling engine of Yap[3], with the ability to persistently store the table data structure in MySQL relations; and the development of automatic view-level transformations using information from existing MySQL indexes and MySQL query optimizer. The MYDDAS system should also be able to explore the combination of tabling with or-parallelism provided by the OPTYap engine[4] of Yap in the concurrent evaluation of database goals.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Similar content being viewed by others

References

  1. Ferreira, M., Rocha, R.: The MyYapDB Deductive Database System. In: Alferes, J.J., Leite, J. (eds.) JELIA 2004. LNCS (LNAI), vol. 3229, pp. 710–713. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  2. Fonseca, N., Silva, F., Camacho, R., Costa, V.S.: Induction with April - A preliminary report. Technical Report DCC-2003-02, DCC-FC & LIACC, Universidade do Porto (2003)

    Google Scholar 

  3. Rocha, R., Silva, F., Costa, V.S.: YapTab: A Tabling Engine Designed to Support Parallelism. In: Conference on Tabulation in Parsing and Deduction, pp. 77–87 (2000)

    Google Scholar 

  4. Rocha, R., Silva, F., Costa, V.S.: On a Tabling Engine That Can Exploit Or-Parallelism. In: Codognet, P. (ed.) ICLP 2001. LNCS, vol. 2237, pp. 43–58. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  5. Sagonas, K., Swift, T., Warren, D.S.: XSB as an Efficient Deductive Database Engine. In: ACM SIGMOD International Conference on the Management of Data, pp. 442–453. ACM Press, New York (1994)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ferreira, M. (2005). The MYDDAS Project: Using a Deductive Database for Traffic Characterization. In: Gabbrielli, M., Gupta, G. (eds) Logic Programming. ICLP 2005. Lecture Notes in Computer Science, vol 3668. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11562931_39

Download citation

  • DOI: https://doi.org/10.1007/11562931_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29208-1

  • Online ISBN: 978-3-540-31947-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics