Skip to main content

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5796))

Included in the following conference series:

Abstract

In the environment of Semantic Web the problem of precise manipulation of units of knowledge gains importance. In this paper we discuss a possibility of adoption for this purpose the flexible and powerful apparatus of relational algebra. We discuss similarities and differences between knowledge and data bases and their underlying information-processing models. On the basis of the discussion we draw and investigate a special analogy between these two important methods. We use this analogy to introduce the special algebra of ontological modules which may be used to exchange, align and merge the knowledge among agents.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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. Borgida, A., Serafini, L.: Distributed description logics: Assimilating information from peer sources. Journal of Data Semantics, 153–184 (2003)

    Google Scholar 

  2. Grau, B.C., Parsia, B., Sirin, E.: Tableau Algorithms for \(\mathcal{E}\)-Connections of Description Logics. UMIACS Research Report, Maryland (2004)

    Google Scholar 

  3. Goczyła, K., Waloszek, A., Waloszek, W.: Contextualization of a DL Knowledge Base. In: Proc. of the 20th International Workshop on Description Logics DL 2007, pp. 291–298. Bozen-Bolzano University Press (2007)

    Google Scholar 

  4. Baader, F., et al.: The description logic handbook: theory, implementation, and applications. Cambridge University Press, Cambridge (2003)

    MATH  Google Scholar 

  5. Bergamaschi, S., Sartori, C.: On taxonomic reasoning in conceptual design. ACM Trans. on Database Systems 17(3), 385–422 (1992)

    Article  Google Scholar 

  6. Ullman, J.D.: Principles of Database Systems. Computer Science Press (1980)

    Google Scholar 

  7. Imielinski, T., Lipski, W.J.: The Relational Model of Data and Cylindric Algebras. J. Comput. Syst. Sci. 28(1), 80–102 (1984)

    Article  MathSciNet  MATH  Google Scholar 

  8. Henkin, L., Monk, J.D., Tarski, A.: Cylindric Algebras pt. 1. Studies in Logic and the Foundations of Mathematics, vol. 64. North-Holland, Amsterdam (1971)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Goczyła, K., Waloszek, A., Waloszek, W. (2009). Algebra of Ontology Modules for Semantic Agents. In: Nguyen, N.T., Kowalczyk, R., Chen, SM. (eds) Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems. ICCCI 2009. Lecture Notes in Computer Science(), vol 5796. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04441-0_43

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-04441-0_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04440-3

  • Online ISBN: 978-3-642-04441-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics