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Cluster Computing

, Volume 18, Issue 3, pp 1171–1188 | Cite as

Hybrid service matchmaking in ambient assisted living environments based on context-aware service modeling

  • Aitor Urbieta
  • Alejandra González-Beltrán
  • Sonia Ben Mokhtar
  • Jorge Parra
  • Licia Capra
  • M. Anwar Hossain
  • Abdulhameed Alelaiwi
  • Juan Ignacio Vázquez
Article

Abstract

Ambient assisted living (AAL) environments are augmented with sensing and communication technologies to support elderly people with personalized, adaptive and anticipatory requirements. A plethora of heterogeneous devices and services appear and disappear, which expose different behavior with the changing contexts in these environments. Therefore, a service matchmaking mechanism that attempts to identify relevant services in order to fulfill the user needs, has to deal with the heterogeneity of devices and services along with their dynamic behavior. Existing service specifications, such as semantic web services, are often used to abstract the environment’s functionalities and the user tasks without incorporating context-aware properties, which makes them unsuitable for service matchmaking in pervasive and ambient environment. To deal with these issues, we introduce a contExt Aware web Service dEscription Language (wEASEL) that is an abstract service model to represent services and user tasks in AAL environments. Also, we present a set of wEASEL-based service matching algorithms and evaluate them for their suitability. The proposed service matchmaking mechanism can incorporate services that are available in local AAL environment as well as in the cloud computing marketplace.

Keywords

Ambient assisted living Pervasive computing Service matchmaking Semantic web services Knowledge modeling Context-awareness 

Notes

Acknowledgments

The authors extend their appreciation to the Deanship of Scientific Research at King Saud University for funding this work through the research group Project No. RGP-VPP-049.

References

  1. 1.
    Armbrust, M., Fox, A., Griffith, R., Joseph, A.D., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I., et al.: A view of cloud computing. Commun. ACM 53(4), 50–58 (2010)CrossRefGoogle Scholar
  2. 2.
    Battle, S., Bernstein, A., Boley, H., Grosof, B., Gruninger, M., Hull, R., Kifer, M., Martin, D., McIlraith, S., McGuinness, D.: Semantic web services framework (swsf). Tech. Rep. W3C Member Submission - 9 (2005)Google Scholar
  3. 3.
    Bellur, U., Kulkarni, R.: Improved matchmaking algorithm for semantic web services based on bipartite graph matching. In: IEEE International Conference on Web Services (ICWS), pp. 86–93. (2007)Google Scholar
  4. 4.
    Bellur, U., Vadodaria, H.: On extending semantic matchmaking to include preconditions and effects. In: IEEE International Conference on Web Services (ICWS), pp. 120–128. (2008)Google Scholar
  5. 5.
    Bener, A.B., Ozadali, V., Ilhan, E.S.: Semantic matchmaker withprecondition and effect matching using swrl. Expert Syst. Appl. 36(5), 9371–9377 (2009). doi: 10.1016/j.eswa.2009.01.010
  6. 6.
    Ben Mokhtar, S., Preuveneers, D., Georgantas, N., Issarny, V., Berbers, Y.: Easy: efficient semantic service discovery in pervasive computing environments with qos and context support. J. Syst. Softw. 81(5), 785–808 (2008)Google Scholar
  7. 7.
    Ben Mokhtar, S., Raverdy, P.G., Urbieta, A., Cardoso, R.: Interoperable semantic and syntactic service discovery for ambient computing environments. Innovative Applications of Ambient Intelligence: Advances in Smart Systems (2012)Google Scholar
  8. 8.
    Berners-Lee, T., Hendler, J.: The semantic web. Sci. Am. 284(5), 28–37 (2001)CrossRefGoogle Scholar
  9. 9.
    Botelho, L., Fernandez, A., Fries, B., Klusch, M., Pereira, L., Santos, T., Pais, P., Vasirani, M.: Service Discovery, Chap. 10. CASCOM—Intelligent Service Coordination in the SemanticWeb. Springer, New York (2008)Google Scholar
  10. 10.
    Bottaro, A., Bourcier, J., Escoffier, C., Lalanda, P.: Autonomic context-aware service composition. In: 2nd IEEE International Conference on Pervasive Services (ICPS’07). Istanbul, Turkey (2007)Google Scholar
  11. 11.
    Champion, M., Ferris, C., Newcomer, E., Orchard, D.: Web services architecture. W3C Tehnical Report (2002)Google Scholar
  12. 12.
    Cleverdon, C., Mills, J., Keen, M.: Aslib Cranfield research project-Factors determining the performance of indexing systems; Volume 2, Test results. Cranfield (1966)Google Scholar
  13. 13.
    Du, K., Zhang, D., Zhou, X., Hariz, M.: Handling conflicts of context-aware reminding system in sensorised home. Cluster Computing 14(1), 81–89 (2011). doi: 10.1007/s10586-009-0091-1
  14. 14.
    Filho, J.G.P., van Sinderen, M.: Web service architectures—semantics and context-awareness issues in web services platforms. Tech. rep, Telematica Instituut (2003)Google Scholar
  15. 15.
    Fujii, K., Suda, T.: Semantics-based context-aware dynamic service composition. ACM Trans. Auton. Adapt. Syst. 4(2), 12 (2009)CrossRefGoogle Scholar
  16. 16.
    Guinard, D., Trifa, V., Karnouskos, S., Spiess, P., Savio, D.: Interacting with the soa-based internet of things: Discovery, query, selection, and on-demand provisioning of web services. IEEE Trans. Serv. Comput. 3(3), 223–235 (2010)CrossRefGoogle Scholar
  17. 17.
    Gwang-hun, K., Do-hyun, K., XuanTung, H., Younghee, L.: Group-aware service discovery using effect ontology for conflict resolution in ubiquitous environment. In: 10th International Conference on Advanced Communication Technology (ICACT) (2008)Google Scholar
  18. 18.
    Gwang-hun, K., Do-hyun, K., XuanTung, H., Younghee, L., Gab-soo, L.: Semantic service discovery using effect ontology for appliance service in ubiquitous environment. In: International Conference on Ubiquitous Information Technologies and Applications (ICUT) (2008)Google Scholar
  19. 19.
    Hasswa, A., Hassanein, H.: A smart spaces architecture based on heterogeneous contexts, particularly social contexts. Clust. Comput. 15(4), 373–390 (2012). doi: 10.1007/s10586-011-0157-8 CrossRefGoogle Scholar
  20. 20.
    Hossain, M.A., Alamri, A., Almogren, A.S., Hossain, S., Parra, J.: A framework for a context-aware elderly entertainment support system. Sensors 14(6), 10538–10561 (2014)CrossRefGoogle Scholar
  21. 21.
    Hossain, M.A., Parra, J., Atrey, P.K., El Saddik, A.: A framework for human-centered provisioning of ambient media services. Multimed. Tools Appl. 44(3), 407–431 (2009)CrossRefGoogle Scholar
  22. 22.
    Hossain, M.S.: Adaptive media service framework for health monitoring. In: Proceedings of the Third International Conference on Internet Multimedia Computing and Service, pp. 70–73. ACM (2011)Google Scholar
  23. 23.
    Hossain, M.S., Muhammad, G.: Cloud-based collaborative media service framework for healthcare. International Journal of Distributed Sensor Networks (2014)Google Scholar
  24. 24.
    Keller, U., Lara, R., Lausen, H., Polleres, A., Fensel, D.: Automatic location of services. In: Proceedings of the 2nd European Semantic Web Conference (ESWC 2005), pp. 38–49. Springer (2005)Google Scholar
  25. 25.
    Klusch, M., Fries, B., Sycara, K.: Automated semantic web service discovery with owls-mx. In: AAMAS ’06: Proceedings of the 5th int. joint conf. on Autonomous agents and multiagent systems, pp. 915–922. ACM, New York (2006). doi: 10.1145/1160633.1160796
  26. 26.
    Klusch, M., Fries, B., Sycara, K.: OWLS-MX: a hybrid Semantic Web service matchmaker for OWL-S services. Web Semant. 7(2), 121–133 (2009)CrossRefGoogle Scholar
  27. 27.
    Klusch, M., Kapahnke, P.: Owls-mx3: An adaptive hybrid semantic service matchmaker for owl-s. In: Proceedings of 3rd International Workshop on Service Matchmaking and Resource Retrieval in the Semantic Web. CEUR-WS.org (2009)Google Scholar
  28. 28.
    Klusch, M., Kapahnke, P., Fries, B.: Hybrid semantic web service retrieval: A case study with OWLS-MX. In: IEEE Second International Conference on Semantic Computing (ICSC’08) (2008)Google Scholar
  29. 29.
    Klusch, M., Khalid, M., Kapahnke, P., Fries, B., Vasileski, M.: Owls-tc owl-s service retrieval test collection—version 4.0—user manual (2010)Google Scholar
  30. 30.
    Kourtesis, D., Paraskakis, I.: Combining sawsdl, owl-dl and uddi for semantically enhanced web service discovery. In: 5th European Semantic Web Conference (ESWC 2008), vol. 5021, pp. 614–628. Springer (2008)Google Scholar
  31. 31.
    Kumar, A., Neogi, A., Pragallapati, S., Ram, D.J.: Raising programming abstraction from objects to services. In: International Conference on Web Services (ICWS) (2007)Google Scholar
  32. 32.
    Kuster, U., Konig-Ries, B., Stern, M., Klein, M.: Diane: an integrated approach to automated service discovery, matchmaking and composition. In: Proceedings of the 16th International Conference on World Wide Web, pp. 1033–1042 (2007)Google Scholar
  33. 33.
    Lausen, H., Innsbruck, D.: Semantic annotations for WSDL and XML schema (sawsdl) (2006)Google Scholar
  34. 34.
    Majithia, S., Walker, D.W., Gray, W.A.: A framework for automated service composition in service-oriented architecture. In: 1st European Semantic Web Symposium (2004)Google Scholar
  35. 35.
    Martin, D., Burstein, M., Hobbs, J., Lassila, O., McDermott, D., McIlraith, S., Narayanan, S., Paolucci, M., Parsia, B., Payne, T.: Owl-s: Semantic markup for web services. W3C Memb. Submiss. 22 (2004)Google Scholar
  36. 36.
    McIlraith, S.A., Zeng, T.C., Zeng, H.: Semantic web services. IEEE Intell. Syst. Appl. 16(2), 46–53 (2001)CrossRefGoogle Scholar
  37. 37.
    Paolucci, M., Kawamura, T., Payne, T.R., Sycara, K.: Semantic matching of Web services capabilities. Lecture Notes in Computer Science 2342, 333–347 (2002). http://link.springer-ny.com/link/service/series/0558/bibs/2342/23420333.htm; http://link.springer-ny.com/link/service/series/0558/papers/2342/23420333.pdf
  38. 38.
    Rasch, K., Li, F., Sehic, S., Ayani, R., Dustdar, S.: Context-driven personalized service discovery in pervasive environments. World Wide Web 14(4), 295–319 (2011). URL http://www.springerlink.com/index/10.1007/s11280-011-0112-x
  39. 39.
    Remagnino, P., Foresti, G.L.: Ambient intelligence: a new multidisciplinary paradigm. IEEE Trans. Syst. Man Cybern. Part A 35(1), 1–6 (2005)CrossRefGoogle Scholar
  40. 40.
    Roman, D., Lausen, H., Keller, U.: Web service modeling ontology standard (wsmo-standard) (2004)Google Scholar
  41. 41.
    Ruyter, B.d., Pelgrim, E.: Ambient assisted-living research in carelab. interactions, Interactions 14(4), 30–33 (2007)Google Scholar
  42. 42.
    Saehoon, K., Woohyun, K., Dongman, L., Younghee, L.: Group context-aware service discovery for supporting continuous service availability. In: Proceedings of the First Internaltional Workshop on Personalized Context Modeling and Management for UbiComp Applications (ubiPCMM 2005) (2005)Google Scholar
  43. 43.
    Sirin, E., Parsia, B., Hendler, J.: Template-based composition of semantic web services. In: AAAI Fall Symposium on Agents and the Semantic Web (2005)Google Scholar
  44. 44.
    Stollberg, M., Keller, U., Lausen, H., Heymans, S.: Two-phase web service discovery based on rich functional descriptions. In: 4th European Semantic Web Conference, ESWC 2007, vol. 4519, pp. 99–113. Springer (2007)Google Scholar
  45. 45.
    Sycara, K., Lu, J., Klusch, M., Widoff, S.: Matchmaking among heterogeneous agents on the internet. In: Proceedings of the 1999 AAAI Spring Symposium on Intelligent Agents in Cyberspace (1999)Google Scholar
  46. 46.
    Sycara, K., Paolucci, M., Ankolekar, A., Srinivasan, N.: Automated discovery, interaction and composition of semantic web services. Web Semant. 1(1), 27–46 (2003)CrossRefGoogle Scholar
  47. 47.
    Trastour, D., Bartolini, C., Gonzalez-Castillo, J.: A semantic web approach to service description for matchmaking of services. In: Proceedings of the International Semantic Web Working Symposium (SWWS) (2001). http://citeseer.ist.psu.edu/trastour01semantic.html
  48. 48.
    Urbieta, A.: An integrated approach for context-aware modelling, matchmaking and composition of semantic services, based on preconditions and effects, oriented to intelligent environments. Ph.D. Thesis, Mondragon Unibertsitatea (MU) (2010)Google Scholar
  49. 49.
    Urbieta, A., Azketa, E., Gomez, I., Parra, J., Arana, N.: Analysis of effects- and preconditions-based service representation in ubiquitous computing environments. In: IEEE Second International Conference on Semantic Computing (ICSC’08) (2008)Google Scholar
  50. 50.
    Urbieta, A., Azketa, E., Gomez, I., Parra, J., Arana, N.: Bridging the gap between services and context in ubiquitous computing environments using an effects- and conditions-based model. In: 3th International Symposium on Ubiquitous Computing and Ambient Intelligence (UCAm I), Advances in Soft Computing Series. Springer (2008)Google Scholar
  51. 51.
    Urbieta, A., Azketa, E., Gomez, I., Parra, J., Arana, N.: Towards effects-based service description and integration in pervasive environments. In: ACM Service Integration in Pervasive Environments (SIPE’08) Workshop on International Conference on Pervasive Services (ICPS’08) (2008)Google Scholar
  52. 52.
    Wang, H., Li, Z., Fan, L.: Capability matchmaking of semantic web services with preconditions and effects. In: The Third Chinese Semantic Web Symposium (CSWS) (2009)Google Scholar
  53. 53.
    Yau, S.S., Liu, J.: Hierarchical situation modeling and reasoning for pervasive computing. In: SEUS-WCCIA ’06: Proceedings of the The Fourth IEEE Workshop on Software Technologies for Future Embedded and Ubiquitous Systems, and the Second International Workshop on Collaborative Computing, Integration, and Assurance (SEUS- CCIA’06), pp. 5–10 (2006). doi: 10.1109/SEUS-WCCIA.2006.25
  54. 54.
    Yau, S.S., Liu, J.: Incorporating situation awareness in service specifications. In: ISORC ’06: Proceedings of the Ninth IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing, pp. 287–294. (2006). doi: 10.1109/ISORC.2006.39
  55. 55.
    Zaremski, A.M., Wing, J.M.: Signature matching: a tool for using software libraries. ACM Trans. Softw. Eng. Methodol. 4(2), 146–170 (1995). http://citeseer.ist.psu.edu/zaremski95signature.html
  56. 56.
    Zaremski, A.M., Wing, J.M.: Specification matching of software components. ACM Trans. Softw. Eng. Methodol. 6(4), 333–369 (1997)Google Scholar

Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  • Aitor Urbieta
    • 1
  • Alejandra González-Beltrán
    • 2
  • Sonia Ben Mokhtar
    • 3
  • Jorge Parra
    • 1
  • Licia Capra
    • 5
  • M. Anwar Hossain
    • 4
  • Abdulhameed Alelaiwi
    • 4
  • Juan Ignacio Vázquez
    • 6
  1. 1.IK4-IKERLAN, Paseo J.M. ArizmendiarrietaArrasateSpain
  2. 2.Oxford e-Research CentreUniversity of OxfordOxfordUK
  3. 3.DRIM Research GroupLIRIS, INSA de LyonVilleurbanneFrance
  4. 4.Software Engineering Department, College of Computer and Information SciencesKing Saud UniversityRiyadhSaudi Arabia
  5. 5.Department of Computer ScienceUniversity College LondonLondonUK
  6. 6.Intelligent Environments - DeustoTech, University of DeustoBilbaoSpain

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