Advertisement

Bridging the Gap between the Logical and the Physical Worlds

  • Francisco García-Sánchez
  • Renato Vidoni
  • Rodrigo Martínez-Béjar
  • Alessandro Gasparetto
  • Rafael Valencia-García
  • Jesualdo T. Fernández-Breis
Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 55)

Abstract

An implicit frontier have traditionally existed between services available online and those that can be offered by mechanical devices such as robots. However, many applications can benefit from the convergence of these two worlds. In this paper, we present BRIDGE, a knowledge technologies-based multi-agent system for joining together Web and robot-provided services. The fundamentals of the framework and its architecture are explained and a traffic control-related use case scenario described.

Keywords

Multiagent System Domain Ontology Semantic Description Service Execution Framework Agent 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Berners-Lee, T., Hendler, J., Lassila, O.: The semantic web. Scientific American, 34–43 (May 2001)Google Scholar
  2. 2.
    Booth, D., Haas, H., McCabe, F., Newcomer, E., Champion, M., Ferris, C., Orchard, D.: Web services architecture. W3c working group note. In: World Wide Web Consortium (2004)Google Scholar
  3. 3.
    Bradshaw, J., Suri, N., Cañas, A., Davis, R., Ford, K., Huffman, R., Jeffers, R., Reichherzer, T.: Terraforming cyberspace. IEEE Computer (2001)Google Scholar
  4. 4.
    Bradshaw, J., Uszok, A., Jeffers, R., Suri, N., Hayes, P., Burstein, M., Acquisti, A., Benyo, B., Breedy, M., Carvalho, M., Diller, D., Johnson, M., Kulkarni, S., Lott, J., Sierhuis, M., Hoof, R.V.: Representation and reasoning for daml-based policy and domain services in kaos and nomads. In: Proc. of the AAMAS 2003 (2003)Google Scholar
  5. 5.
    Bruijn, O.D., Stathis, K.: Socio-cognitive grids: The net as a universal human resource. In: Proc. of Tales of the Disappearing Computer (2003)Google Scholar
  6. 6.
    Clancey, W., Sierhuis, M., Kaskiris, C., van Hoof, R.: Advantages of brahms for specifying and implementing a multiagent human-robotic exploration system. In: Proc. of the FLAIRS 2003 (2003)Google Scholar
  7. 7.
    Freedy, A., Sert, O., Freedy, E., Weltman, G., Mcdonough, J., Tambe, M., Gupta, T.: Multiagent adjustable autonomy framework (maaf) for multirobot, multihuman teams. In: International symposium on collaborative technologies (CTS) (2008)Google Scholar
  8. 8.
    García-Sánchez, F., Fernández-Breis, J.T., Valencia-García, R., Gómez, J.M., Martínez-Béjar, R.: Combining semantic web technologies with multi-agent systems for integrated access to biological resources. Journal of Biomedical Biomedical Informatics 41(5), 848–859 (2008); Special issue on Semantic Mashup of Biomedical DataCrossRefGoogle Scholar
  9. 9.
    García-Sánchez, F., Martínez-Béjar, R., Valencia-García, R., Fernández-Breis, J.T.: An ontology, intelligent agent-based framework for the provision of semantic web services. Expert Systems with Applications 36(2P2), 3167–3187 (2009)CrossRefGoogle Scholar
  10. 10.
    Innocenti, B., López, B., Salvi, J.: Resource coordination deployment for physical agents. In: From Agent Theory to Agent Implementation, 6th Int. Workshop AAMAS (2008) (2009)Google Scholar
  11. 11.
    Johnson, M., Feltovich, P., Bradshaw, J., Bunch, L.: Human-Robot Coordination through Dynamic Regulation. In: IEEE ICRA 2008, Pasadena, CA, USA (2008)Google Scholar
  12. 12.
    Kaminka, G.: Robots are agents, too! AgentLink News (2004)Google Scholar
  13. 13.
    Kaminka, G.: Robots are agents, too! In: Proc. of the 6th International Conference on Autonomous Agents and Multiagent Systems - Invited talk (2007)Google Scholar
  14. 14.
    McIlraith, S., Son, T.C., Zeng, H.: Semantic web services. IEEE Intelligent Systems 16(2), 46–53 (2001)CrossRefGoogle Scholar
  15. 15.
    Noy, N.F., Doan, A., Halevy, A.Y.: Semantic integration. AI Magazine 26(1), 7–10 (2005)Google Scholar
  16. 16.
    Ryutov, T.: A socio-cognitive approach to modeling policies in open environments. In: Proc. of the 8th IEEE International Workshop on Policies for Distributed Systems and Networks (2007)Google Scholar
  17. 17.
    Scerri, P., Johnson, L., Pynadath, D., Rosenbloom, P., Si, M., Schurr, N., Tambe, M.: An automated teamwork infrastructure for heterogeneous software agents and humans. In: Proc. of the 2nd International joint conference on agents and multiagent systems (AAMAS) (2003)Google Scholar
  18. 18.
    Sierhuis, M., Bradshaw, J., Acquisti, A., van Hoof, R., Jeffers, R., Uszok, A.: Human-agent teamwork and adjustable autonomy in practice. In: Proc. of the i-SAIRAS 2003 (2003)Google Scholar
  19. 19.
    Studer, R., Benjamins, R., Fensel, D.: Knowledge engineering: Principles and methods. Data and Knowledge Engineering 25(1-2), 161–197 (1998)zbMATHCrossRefGoogle Scholar
  20. 20.
    Wooldridge, M.: An introduction to MultiAgent Systems. John Wiley & Sons Ltd., Chichester (2002)Google Scholar
  21. 21.
    Zhao, L., Mehandjiev, N., Macaulay, L.: Agent roles and patterns for supporting dynamic behavior of web services applications. In: Proc. of the 3rd International Conference on Autonomous Agents and Multi-Agent Systems, New York, USA (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Francisco García-Sánchez
    • 1
  • Renato Vidoni
    • 2
  • Rodrigo Martínez-Béjar
    • 1
  • Alessandro Gasparetto
    • 2
  • Rafael Valencia-García
    • 1
  • Jesualdo T. Fernández-Breis
    • 1
  1. 1.Facultad de InformáticaUniversidad de MurciaEspinardoSpain
  2. 2.Universita’ degli Studi di UdineUdineItaly

Personalised recommendations