Skip to main content
SpringerLink
Log in
Book cover

Transactions on Computational Collective Intelligence XI pp 155–175Cite as

Towards Rule Interoperability: Design of Drools Rule Bases Using the XTT2 Method

  • Chapter

Part of the book series: Lecture Notes in Computer Science ((TCCI,volume 8065))

Abstract

Despite the maturity of rule-based technologies and number of rule formalisms, the practical rule interoperability is still challenging. In a distributed environment where many knowledge engineers work in a collective way, this causes severe problems. This is a methodological paper, which introduces an approach that can be considered such an interoperability method. Its aim is to provide a unified and formalized method for knowledge interchange for the most common rule languages. Our approach involves three levels of interoperability abstraction: semantic, model and environment level. On each level different problems are addressed. In order to assess the appropriateness of such decomposition we provide a proof of concept solution concerning the interoperability between the Drools and XTT2 rule bases.

The paper is supported by the BIMLOQ Project funded from 2010–2012 resources for science as a research project.

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

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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Adrian, W.T., Bobek, S., Nalepa, G.J., Kaczor, K., Kluza, K.: How to reason by HeaRT in a semantic knowledge-based wiki. In: Proceedings of the 23rd IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2011, Boca Raton, Florida, USA, pp. 438–441 (November 2011)

    Google Scholar 

  2. Antoniou, G., van Harmelen, F.: A Semantic Web Primer. The MIT Press (2008)

    Google Scholar 

  3. Bing, H., Dan-Mei, X.: Research and design of document flow model based on JBPM workflow engine. In: Proceedings from International Forum on Computer Science-Technology and Applications, IFCSTA 2009, vol. 1, pp. 336–339 (December 2009)

    Google Scholar 

  4. Boley, H., Tabet, S., Wagner, G.: Design rationale for ruleml: A markup language for semantic web rules. In: Cruz, I.F., Decker, S., Euzenat, J., McGuinness, D.L. (eds.) SWWS, pp. 381–401 (2001)

    Google Scholar 

  5. Browne, P.: JBoss Drools Business Rules. Packt Publishing (2009)

    Google Scholar 

  6. Buchanan, B.G., Shortliffe, E.H. (eds.): Rule-Based Expert Systems. Addison-Wesley Publishing Company, Reading (1985)

    Google Scholar 

  7. Cañadas, J., Palma, J., Túnez, S.: Defining the semantics of rule-based web applications through model-driven development. International Journal of Applied Mathematics and Computer Science 21(1), 41–55 (2011)

    Article  Google Scholar 

  8. Coenen, F., et al.: Validation and verification of knowledge-based systems: report on eurovav99. The Knowledge Engineering Review 15(2), 187–196 (2000)

    Article  Google Scholar 

  9. Denvir, T., Oliveira, J., Plat, N.: The Cash-Point (ATM) ‘Problem’. Formal Aspects of Computing 12(4), 211–215 (2000)

    Article  Google Scholar 

  10. Di Bona, D., Lo Re, G., Aiello, G., Tamburo, A., Alessi, M.: A methodology for graphical modeling of business rules. In: 5th UKSim European Symposium on Computer Modeling and Simulation (EMS), pp. 102–106 (November 2011)

    Google Scholar 

  11. Fong, J., Shiu, H., Wong, J.: Methodology for data conversion from XML documents to relations using Extensible Stylesheet Language Transformation. International Journal of Software Engineering and Knowledge Engineering 19(2), 249–281 (2009)

    Article  Google Scholar 

  12. Friedman-Hill, E.: Jess in Action, Rule Based Systems in Java. Manning (2003)

    Google Scholar 

  13. Giarratano, J., Riley, G.: Expert Systems. Principles and Programming. Thomson Course Technology, 4th edn., Boston, MA, United States (2005) ISBN 0-534-38447-1

    Google Scholar 

  14. Giurca, A., Gašević, D., Taveter, K. (eds.): Handbook of Research on Emerging Rule-Based Languages and Technologies: Open Solutions and Approaches. Information Science Reference, Hershey (2009)

    Google Scholar 

  15. von Halle, B.: Business Rules Applied: Building Better Systems Using the Business Rules Approach. Wiley (2001)

    Google Scholar 

  16. Hendler, J., van Harmelen, F.: The Semantic Web: Webizing Knowledge Representation. In: Handbook of Knowledge Representation. Elsevier, New York (2008)

    Google Scholar 

  17. Hitzler, P., Krötzsch, M., Rudolph, S.: Foundations of Semantic Web Technologies. Chapman & Hall/CRC (2009)

    Google Scholar 

  18. Hollingsworth, D.: The workflow reference model. Issue 1.1 TC00-1003, Workflow Management Coalition (January 1995)

    Google Scholar 

  19. Jackson, P.: Introduction to Expert Systems. Addison–Wesley, 3rd edn. (1999) ISBN 0-201-87686-8

    Google Scholar 

  20. The jBPM team of JBoss Community: jBPM User Guide, 5.2.0.final edn. (December 2011), http://docs.jboss.org/jbpm/v5.2/userguide/

  21. Kaczor, K., Nalepa, G.J.: Extensible design and verification enviroment for XTT rule bases. In: Tadeusiewicz, R., Ligęza, A., Mitkowski, W., Szymkat, M. (eds.) CMS 2009: Computer Methods and Systems: 7th Conference, Kraków, Poland, November 26-27, pp. 99–104. AGH University of Science and Technology, Oprogramowanie Naukowo-Techniczne, Cracow (2009)

    Google Scholar 

  22. Kaczor, K., Nalepa, G.J.: HaDEs – presentation of the HeKatE design environment. In: Baumeister, J., Nalepa, G.J. (eds.) 5th Workshop on Knowledge Engineering and Software Engineering (KESE 2009) at the 32nd German conference on Artificial Intelligence, Paderborn, Germany, pp. 57–62 (September 15, 2009)

    Google Scholar 

  23. Kaczor, K., Nalepa, G.J., Łysik, Ł., Kluza, K.: Visual design of Drools rule bases using the XTT2 method. In: Katarzyniak, R., Chiu, T.-F., Hong, C.-F., Nguyen, N.T. (eds.) Semantic Methods for Knowledge Management and Communication. SCI, vol. 381, pp. 57–66. Springer, Heidelberg (2011), http://www.springerlink.com/content/h544g4238716m320/

    Chapter  Google Scholar 

  24. Kifer, M., Boley, H.: RIF overview. W3C working draft, W3C (October 2009), http://www.w3.org/TR/rif-overview

  25. Kluza, K., Kaczor, K., Nalepa, G.J.: Enriching business processes with rules using the Oryx BPMN editor. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2012, Part II. LNCS, vol. 7268, pp. 573–581. Springer, Heidelberg (2012), http://www.springerlink.com/content/u654r0m56882np77/

    Chapter  Google Scholar 

  26. Kluza, K., Maślanka, T., Nalepa, G.J., Ligęza, A.: Proposal of representing BPMN diagrams with XTT2-based business rules. In: Brazier, F.M., Nieuwenhuis, K., Pavlin, G., Warnier, M., Badica, C. (eds.) Intelligent Distributed Computing V. SCI, vol. 382, pp. 243–248. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  27. Kluza, K., Nalepa, G.J., Łysik, Ł.: Visual inference specification methods for modularized rulebases. Overview and integration proposal. In: Nalepa, G.J., Baumeister, J. (eds.) Proceedings of the 6th Workshop on Knowledge Engineering and Software Engineering (KESE6) at the 33rd German Conference on Artificial Intelligence, Karlsruhe, Germany, pp. 6–17 (September 21, 2010), http://ceur-ws.org/Vol-636/

  28. Liebowitz, J. (ed.): The Handbook of Applied Expert Systems. CRC Press, Boca Raton (1998)

    MATH  Google Scholar 

  29. Ligęza, A.: Intelligent data and knowledge analysis and verification; towards a taxonomy of specific problems. In: Ligęza, A. (ed.) Validation and Verification of Knowledge Based Systems: Theory, Tools and Practice, pp. 313–325. Kluwer Academic Publishers, Boston (1999)

    Chapter  Google Scholar 

  30. Ligęza, A., Nalepa, G.J.: A study of methodological issues in design and development of rule-based systems: proposal of a new approach. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 1(2), 117–137 (2011), http://onlinelibrary.wiley.com/doi/10.1002/widm.11/pdf

    Article  Google Scholar 

  31. Ligęza, A., Szpyrka, M.: Reduction of tabular systems. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds.) ICAISC 2004. LNCS (LNAI), vol. 3070, pp. 903–908. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  32. Lukichev, S., Wagner, G.: Visual rules modeling. In: Virbitskaite, I., Voronkov, A. (eds.) PSI 2006. LNCS, vol. 4378, pp. 467–473. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  33. Nalepa, G., Ligęza, A., Kaczor, K.: Overview of knowledge formalization with XTT2 rules. In: Bassiliades, N., Governatori, G., Paschke, A. (eds.) RuleML 2011 - Europe. LNCS, vol. 6826, pp. 329–336. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  34. Nalepa, G.J.: Proposal of business process and rules modeling with the XTT method. In: Negru, V., et al. (eds.) Symbolic and Numeric Algorithms for Scientific Computing, SYNASC Ninth International Symposium, September 26-29, pp. 500–506. IEEE Computer Society, IEEE, CPS Conference Publishing Service, Los Alamitos, California, Washington, Tokyo (2007)

    Google Scholar 

  35. Nalepa, G.J.: PlWiki – a generic semantic wiki architecture. In: Nguyen, N.T., Kowalczyk, R., Chen, S.-M. (eds.) ICCCI 2009. LNCS, vol. 5796, pp. 345–356. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  36. Nalepa, G.J.: Architecture of the HeaRT hybrid rule engine. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2010, Part II. LNCS, vol. 6114, pp. 598–605. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  37. Nalepa, G.J.: Collective knowledge engineering with semantic wikis. Journal of Universal Computer Science 16(7), 1006–1023 (2010), http://www.jucs.org/jucs_16_7/collective_knowledge_engineering_with

    Google Scholar 

  38. Nalepa, G.J.: Loki – semantic wiki with logical knowledge representation. In: Nguyen, N.T. (ed.) TCCI III 2011. LNCS, vol. 6560, pp. 96–114. Springer, Heidelberg (2011), http://www.springerlink.com/content/y91w134g03344376/

    Chapter  Google Scholar 

  39. Nalepa, G.J.: Semantic Knowledge Engineering. A Rule-Based Approach. Wydawnictwa AGH, Kraków (2011)

    Google Scholar 

  40. Nalepa, G.J., Furmańska, W.T.: Pellet-HeaRT – proposal of an architecture for ontology systems with rules. In: Dillmann, R., Beyerer, J., Hanebeck, U.D., Schultz, T. (eds.) KI 2010. LNCS, vol. 6359, pp. 143–150. Springer, Heidelberg (2010), http://www.springerlink.com/content/r46p8m40432n7342/

    Chapter  Google Scholar 

  41. Nalepa, G.J., Kluza, K.: UML representation for rule-based application models with XTT2-based business rules. International Journal of Software Engineering and Knowledge Engineering (IJSEKE) 22(4), 485–524 (2012)

    Article  Google Scholar 

  42. Nalepa, G.J., Ligęza, A.: Conceptual Modelling and Automated Implementation of Rule-Based Systems. In: Software engineering: evolution and emerging technologies, Frontiers in Artificial Intelligence and Applications, vol. 130, pp. 330–340. IOS Press, Amsterdam (2005)

    Google Scholar 

  43. Nalepa, G.J., Ligęza, A.: HeKatE methodology, hybrid engineering of intelligent systems. International Journal of Applied Mathematics and Computer Science 20(1), 35–53 (2010)

    Article  Google Scholar 

  44. Nalepa, G.J., Ligęza, A., Kaczor, K.: Formalization and modeling of rules using the XTT2 method. International Journal on Artificial Intelligence Tools 20(6), 1107–1125 (2011)

    Article  Google Scholar 

  45. Semantics, O.M.G.: of Business Vocabulary and Business Rules (SBVR). Tech. Rep. dtc/06-03-02, Object Management Group (2006)

    Google Scholar 

  46. Pascalau, E., Giurca, A.: Can URML model successfully drools rules? In: Giurca, A., Analyti, A., Wagner, G. (eds.) ECAI 2008: 18th European Conference on Artificial Intelligence: 2nd East European Workshop on Rule-Based Applications, RuleApps 2008, July 22, pp. 19–23. University of Patras, Patras (2008)

    Google Scholar 

  47. Peng, L., Zhou, B.: Research on workflow patterns based on jBPM and jPDL. In: Proceedings from IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application, PACIIA 2008, vol. 2, pp. 838–843. IEEE (December 2008)

    Google Scholar 

  48. Ross, R.G.: Principles of the Business Rule Approach, 1st edn. Addison-Wesley Professional (2003)

    Google Scholar 

  49. Szpyrka, M., Szmuc, T.: Decision tables in petri net models. In: Kryszkiewicz, M., Peters, J.F., Rybiński, H., Skowron, A. (eds.) RSEISP 2007. LNCS (LNAI), vol. 4585, pp. 648–657. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  50. Tadeusiewicz, R.: Introduction to intelligent systems. In: Wilamowski, B.M., Irwin, J.D. (eds.) Intelligent Systems, 2nd edn. The Electrical Engineering Handbook Series. The Industrial Electronics Handbook, pp. 1-1–1-12. CRC Press Taylor & Francis Group, Boca Raton (2011)

    Google Scholar 

  51. Wagner, G., Giurca, A.: R2ml: A general approach for marking up rules. In: Bry, F., Fages, F., Marchiori, M., Ohlbach, H. (eds.) Principles and Practices of Semantic Web Reasoning, Dagstuhl Seminar Proceedings, 05371 (2005)

    Google Scholar 

  52. Wohed, P., Russell, N., ter Hofstede, A.H., Andersson, B., van der Aalst, W.M.: Patterns-based evaluation of open source BPM systems: The cases of jBPM, OpenWFE, and Enhydra Shark. Information and Software Technology 51(8), 1187–1216 (2009)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. AGH University of Science and Technology, al. A. Mickiewicza 30, 30-059, Krakow, Poland

    Krzysztof Kaczor, Krzysztof Kluza & Grzegorz J. Nalepa

Authors
  1. Krzysztof Kaczor
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Krzysztof Kluza
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Grzegorz J. Nalepa
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Institute of Informatics, Wrocław University of Technology, Wybrzeże Wyspiańskiego 27, 50-370, Wrocław, Poland

    Ngoc Thanh Nguyen

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Kaczor, K., Kluza, K., Nalepa, G.J. (2013). Towards Rule Interoperability: Design of Drools Rule Bases Using the XTT2 Method. In: Nguyen, N.T. (eds) Transactions on Computational Collective Intelligence XI. Lecture Notes in Computer Science, vol 8065. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41776-4_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-41776-4_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41775-7

  • Online ISBN: 978-3-642-41776-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation