Skip to main content

The mcs-ie System for Explaining Inconsistency in Multi-Context Systems

  • Conference paper
Logics in Artificial Intelligence (JELIA 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6341))

Included in the following conference series:


The Multi-Context System Inconsistency Explainer allows for evaluation of semantics and explanation of inconsistencies in systems where heterogeneous knowledge bases are linked via nonmonotonic rules. The implementation is based on the dlvhex tool, which is an extension of answer set programming with external atoms and higher order features.

This work was supported by the Vienna Science and Technology Fund (WWTF) under grant ICT08-020.

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

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
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


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others


  1. Brewka, G., Eiter, T.: Equilibria in heterogeneous nonmonotonic multi-context systems. In: AAAI, pp. 385–390 (2007)

    Google Scholar 

  2. Brewka, G., Roelofsen, F., Serafini, L.: Contextual default reasoning. In: IJCAI, pp. 268–273 (2007)

    Google Scholar 

  3. Eiter, T., Fink, M., Schüller, P., Weinzierl, A.: Finding explanations of inconsistency in nonmonotonic multi-context systems. In: KR, pp. 329–339 (2010)

    Google Scholar 

  4. Eiter, T., Ianni, G., Schindlauer, R., Tompits, H.: A uniform integration of higher-order reasoning and external evaluations in answer-set programming. In: IJCAI, pp. 90–96 (2005)

    Google Scholar 

  5. Giunchiglia, F., Serafini, L.: Multilanguage hierarchical logics, or: How we can do without modal logics. Artificial Intelligence 65(1), 29–70 (1994)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations


Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Bögl, M., Eiter, T., Fink, M., Schüller, P. (2010). The mcs-ie System for Explaining Inconsistency in Multi-Context Systems. In: Janhunen, T., Niemelä, I. (eds) Logics in Artificial Intelligence. JELIA 2010. Lecture Notes in Computer Science(), vol 6341. Springer, Berlin, Heidelberg.

Download citation

  • DOI:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15674-8

  • Online ISBN: 978-3-642-15675-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics