Skip to main content

Visualization of Proofs in Defeasible Logic

  • Conference paper
Rule Representation, Interchange and Reasoning on the Web (RuleML 2008)

Abstract

The development of the Semantic Web proceeds in steps, building each layer on top of the other. Currently, the focus of research efforts is concentrated on logic and proofs, both of which are essential, since they will allow systems to infer new knowledge by applying principles on the existing data and explain their actions. Research is shifting towards the study of non-monotonic systems that are capable of handling conflicts among rules and reasoning with partial information. As for the proof layer of the Semantic Web, it can play a vital role in increasing the reliability of Semantic Web systems, since it will be possible to provide explanations and/or justifications of the derived answers. This paper reports on the implementation of a system for visualizing proof explanations on the Semantic Web. The proposed system applies defeasible logic, a member of the non-monotonic logics family, as the underlying inference system. The proof representation schema is based on a graph-based methodology for visualizing defeasible logic rule bases.

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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Grosof, B.N., Horrocks, I., Volz, R., Decker, S.: Description Logic Programs: Combining Logic Programs with Description Logic. In: WWW 2003: Proceedings of the 12th international conference on World Wide Web, pp. 48–57. ACM, New York (2003)

    Google Scholar 

  2. Levy, A.Y., Rousset, M.C.: Combining Horn rules and description logics in CARIN. Artificial Intelligence 104(1-2), 165–209 (1998)

    Article  MathSciNet  MATH  Google Scholar 

  3. Rosati, R.: On the decidability and complexity of integrating ontologies and rules. J. Web Sem. 3(1), 61–73 (2005)

    Article  Google Scholar 

  4. Sintek, M., Decker, S.: TRIPLE - A Query, Inference, and Transformation Language for the Semantic Web. In: Horrocks, I., Hendler, J. (eds.) ISWC 2002. LNCS, vol. 2342, pp. 364–378. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  5. Horrocks, I., Patel-Schneider, P.F.: A Proposal for an OWL Rules Language. In: WWW 2004: Proceedings of the 13th international conference on World Wide Web, pp. 723–731. ACM, New York (2004)

    Google Scholar 

  6. RuleML: The RuleML Initiative website (2006), http://www.ruleml.org/

  7. Antoniou, G., Bikakis, A.: DR-Prolog: A System for Defeasible Reasoning with Rules and Ontologies on the Semantic Web. IEEE Trans. on Knowl. and Data Eng. 19(2), 233–245 (2007)

    Article  Google Scholar 

  8. Bassiliades, N., Antoniou, G., Vlahavas, I.: A Defeasible Logic Reasoner for the Semantic Web. International Journal of Semantic Web and Information Systems (IJSWIS) 2(1), 1–41 (2006)

    Article  Google Scholar 

  9. Gandhe, M., Finin, T., Grosof, B.: SweetJess: Translating DamlRuleML to Jess. In: International Workshop on Rule Markup Languages for Business Rules on the Semantic Web in conjunction with ISWC 2002, Sardinia, Italy (2002)

    Google Scholar 

  10. Eiter, T., Ianni, G., Schindlauer, R., Tompits, H.: Dlvhex: A System for Integrating Multiple Semantics in an Answer-Set Programming Framework. In: Fink, M., Tompits, H., Woltran, S. (eds.) WLP, Technische Universität Wien, Austria. INFSYS Research Report, vol. 1843, pp. 206–210 (2006)

    Google Scholar 

  11. Antoniou, G., Bikakis, A., Dimaresis, N., Genetzakis, M., Georgalis, G., Governatori, G., Karouzaki, E., Kazepis, N., Kosmadakis, D., Kritsotakis, M., Lilis, G., Papadogiannakis, A., Pediaditis, P., Terzakis, C., Theodosaki, R., Zeginis, D.: Proof Explanation for the Semantic Web Using Defeasible Logic. In: Zhang, Z., Siekmann, J.H. (eds.) KSEM 2007. LNCS (LNAI), vol. 4798, pp. 186–197. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  12. Antoniou, G., Bikakis, A., Dimaresis, N., Genetzakis, M., Georgalis, G., Governatori, G., Karouzaki, E., Kazepis, N., Kosmadakis, D., Kritsotakis, M., Lilis, G., Papadogiannakis, A., Pediaditis, P., Terzakis, C., Theodosaki, R., Zeginis, D.: Proof explanation for a nonmonotonic Semantic Web rules language. Data Knowl. Eng. 64(3), 662–687 (2008)

    Article  Google Scholar 

  13. Nute, D.: Defeasible logic. In: Gabbay, D., Hogger, C.J., Robinson, J.A. (eds.) Handbook of Logic in Artificial Intelligence and Logic Programming. Nonmonotonic Reasoning and Uncertain Reasoning, vol. 3, pp. 353–395. Oxford University Press, Oxford (1994)

    Google Scholar 

  14. Kontopoulos, E., Bassiliades, N., Antoniou, G.: Visualizing Defeasible Logic Rules for the Semantic Web. In: Mizoguchi, R., Shi, Z., Giunchiglia, F. (eds.) ASWC 2006. LNCS, vol. 4185, pp. 278–292. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  15. Antoniou, G., Billington, D., Governatori, G., Maher, M.J.: Embedding Defeasible Logic into Logic Programming. Theory Pract. Log. Program. 6(6), 703–735 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  16. Maher, M.J., Rock, A., Antoniou, G., Billington, D., Miller, T.: Efficient Defeasible Reasoning Systems. International Journal on Artificial Intelligence Tools 10(4), 483–501 (2001)

    Article  Google Scholar 

  17. Antoniou, G., Billington, D., Maher, M.J.: On the Analysis of Regulations using Defeasible Rules. In: HICSS (1999)

    Google Scholar 

  18. Bassiliades, N., Kontopoulos, E., Antoniou, G.: A Visual Environment for Developing Defeasible Rule Bases for the Semantic Web. In: Adi, A., Stoutenburg, S., Tabet, S. (eds.) RuleML 2005. LNCS, vol. 3791, pp. 172–186. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Avguleas, I. et al. (2008). Visualization of Proofs in Defeasible Logic. In: Bassiliades, N., Governatori, G., Paschke, A. (eds) Rule Representation, Interchange and Reasoning on the Web. RuleML 2008. Lecture Notes in Computer Science, vol 5321. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88808-6_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-88808-6_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88807-9

  • Online ISBN: 978-3-540-88808-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics