Principles of the SymposiumPlanner Instantiations of Rule Responder

  • Zhili Zhao
  • Adrian Paschke
  • Chaudhry Usman Ali
  • Harold Boley
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7018)


The Rule Responder SymposiumPlanner system supports topic-oriented collaboration between the distributed members of a virtual organization. Each member (or small team of members) is assisted by a semi-autonomous rule-based personal agent, which uses Semantic Web rules to capture aspects of the member’s (or team’s) derivation and reaction logic. SymposiumPlanner is a series of Rule Responder use cases for supporting the RuleML Symposia (2007-2011) by coordinating personal agents that assist the symposium chairs, intelligently answering questions from people interested in the symposium. In this paper, we introduce principles of SymposiumPlanner and make suggestions about its future development, mainly for RuleML-2012, and about further Rule Responder use cases.


Personal Agent Virtual Organization Rule Engine Complex Event Process Reaction Logic 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Ball, M., Craig, B.: Object Oriented java Deductive Reasoning Engine for the Web,
  2. 2.
    Boley, H., Osmun, T., Craig, B.: Social semantic rule sharing and querying in wellness communities. In: Gómez-Pérez, A., Yu, Y., Ding, Y. (eds.) ASWC 2009. LNCS, vol. 5926, pp. 347–361. Springer, Heidelberg (2009), Scholar
  3. 3.
    Boley, H., Paschke, A.: Rule responder agents framework and instantiations. In: Eli, A., Kon, M., Orgun, M. (eds.) Semantic Agent Systems. SCI, vol. 344, pp. 3–23. Springer, Heidelberg (2011), Scholar
  4. 4.
    Cardoso, H.L.: Integrating jade and jess (2007),
  5. 5.
    Craig, B.L.: The OO jDREW Engine of Rule Responder: Naf Hornlog RuleML Query Answering. In: Paschke, A., Biletskiy, Y. (eds.) RuleML 2007. LNCS, vol. 4824, pp. 149–154. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  6. 6.
    Craig, B.L., Boley, H.: Personal agents in the rule responder architecture. In: Bassiliades, N., Governatori, G., Paschke, A. (eds.) RuleML 2008. LNCS, vol. 5321, pp. 150–165. Springer, Heidelberg (2008), Scholar
  7. 7.
    Fuchs, N.E., Kaljurand, K., Schneider, G.: Attempto controlled english meets the challenges of knowledge representation, reasoning, interoperability and user interfaces. In: Sutcliffe, G., Goebel, R. (eds.) FLAIRS Conference, pp. 664–669. AAAI Press (2006),
  8. 8.
    Gudgin, M., Lewis, A., Schlimmer, J.: Web Services Description Language (WSDL) Version 1.2 Part 2: Message Patterns,
  9. 9.
    Hindriks, K.V., De Boer, F.S., Van Der Hoek, W., Meyer, J.-J.C.: Agent programming in 3apl. Autonomous Agents and Multi-Agent Systems 2, 357–401 (1999)CrossRefGoogle Scholar
  10. 10.
    Kravari, K., Kontopoulos, E., Bassiliades, N.: Emerald: A multi-agent system for knowledge-based reasoning interoperability in the semantic web. In: Konstantopoulos, S., Perantonis, S., Karkaletsis, V., Spyropoulos, C.D., Vouros, G. (eds.) SETN 2010. LNCS, vol. 6040, pp. 173–182. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  11. 11.
    Lehman, J.F., Laird, J., Rosenbloom, P.: A gentle introduction to soar, an architecture for human cognition. In: Sternberg, S., Scarborough, D. (eds.) Invitation to Cognitive Science. MIT Press (1996)Google Scholar
  12. 12.
    Paschke, A., Kozlenkov, A., Boley, H.: A homogenous reaction rules language for complex event processing. In: International Workshop on Event Drive Architecture for Complex Event Process (2007),
  13. 13.
    Paschke, A.: Rule responder hcls escience infrastructure. In: Proceedings of the 3rd International Conference on the Pragmatic Web: Innovating the Interactive Society, ICPW 2008, pp. 59–67. ACM, New York (2008), Scholar
  14. 14.
    Paschke, A., Bichler, M.: Knowledge representation concepts for automated sla management. CoRR abs/cs/0611122 (2006)Google Scholar
  15. 15.
    Paschke, A., Kozlenkov, A.: A rule-based middleware for business process execution. In: Multikonferenz Wirtschaftsinformatik (2008)Google Scholar
  16. 16.
    Schroeder, M., Wagner, G.: Vivid agents: Theory, architecture, and applications. Applied Artificial Intelligence 14(7), 645–675 (2000)CrossRefGoogle Scholar
  17. 17.
    Shoham, Y.: Agent-oriented programming. Artif. Intell. 60(1), 51–92 (1993)MathSciNetCrossRefGoogle Scholar
  18. 18.
    Wang, M., Purvis, M., Nowostawski, M.: An internal agent architecture incorporating standard reasoning components and standards-based agent communication. In: Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2005, pp. 58–64. IEEE Computer Society, Washington, DC (2005), Scholar
  19. 19.
    Wright, I., Marshall, J.: The execution kernel of rc++: Rete*, a faster rete with treat as a special case. International Journal of Intelligent Games and Simulation 2 (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Zhili Zhao
    • 1
  • Adrian Paschke
    • 1
  • Chaudhry Usman Ali
    • 2
  • Harold Boley
    • 2
    • 3
  1. 1.Computer Science DepartmentFreie Universität BerlinGermany
  2. 2.Faculty of Computer ScienceUniversity of New BrunswickCanada
  3. 3.Institute for Information TechnologyNational Research Council of CanadaCanada

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