, Volume 97, Issue 1, pp 79–102 | Cite as

Service-requester-centered service selection and ranking model for digital transportation ecosystems

  • Hai Dong
  • Farookh Khadeer HussainEmail author


Transport services are a fundamental utility that drives human society. A Digital Transportation Ecosystem is a sub-system of the Digital Ecosystem, which uses ICT resources to facilitate transport service transactions. This research focuses on the selection and ranking of online transport service information. The previous research in this area has been unable to achieve satisfactory performance or give sufficient freedom to service requesters to rank services based on their preferences. ‘User-centered design’ is a broad term to describe how end-users influence system design. In this research, we propose a Service-Requester-Centered Service Selection and Ranking Model, guided by the philosophy of user-centered design. Three major sub-models are involved in this model: a model for assisting service requesters to search appropriate transport service ontology concepts to denote their service requests, a model for enhancing the accuracy of automatic transport service concept recommendation by observing service requesters’ click behaviours, and a model for enabling service-requester-preference-based service ranking. Implementations and empirical experiments are conducted to evaluate the three sub-models and the drawn conclusions along with directions for future work are outlined.


Digital ecosystems Generic services Service ranking  Service selection Transport services Trust 

Mathematics Subject Classification

68U35 (Information Systems) 



We would like to express our appreciation to our programmer, Mr Xiaocheng Yan, who is responsible for the system implementation and evaluation. We would also like to express our gratitude to the anonymous reviewers of our manuscript for their valuable suggestions to improve this paper.


  1. 1.
    Dini P (2007) A scientific foundation for digital ecosystems. London School of Economics and Political ScienceGoogle Scholar
  2. 2.
    Dini P, Rathbone N, Vidal M, Hernandez P, Ferronato P, Briscoe G, Hendryx S (2005) The digital ecosystems research vision: 2010 and beyond. Creat. CommonsGoogle Scholar
  3. 3.
    Dong H, Hussain FK, Chang E (2010) A human-centered semantic service platform for the digital ecosystems environment. World Wide Web 13:75–103CrossRefGoogle Scholar
  4. 4.
    Chang E, West M (2006) Digital ecosystems and comparison to existing collaboration environment. WSEAS Trans Environ Dev 2:1396–1404Google Scholar
  5. 5.
    Mathew TV, Rao KVK (2001) Role of transportation in society. In: Jotin Khisty C, Kent Lall B (eds) Introduction to Transportation Engineering. McGraw-Hill, ColumbusGoogle Scholar
  6. 6.
    Dong H, Hussain FK (2011) Semantic service matchmaking for digital health ecosystems. Knowl Based Syst 24:761–774CrossRefGoogle Scholar
  7. 7.
    Dong H, Hussain FK, Chang E (2011) A service search engine for the industrial digital ecosystems. IEEE Trans Ind Electron 58:2183–2196CrossRefGoogle Scholar
  8. 8.
    Abras C, Maloney-Krichmar D, Preece J (2004) User-centered design. In: Bainbridge W (ed) Berkshire encyclopedia of human-computer interaction, vol 2. Berkshire Publishing Group, Great Barrington, pp 763–768Google Scholar
  9. 9.
    Norman DA, Draper SW (1986) User centered system design. In: New perspectives on human-computer interaction. L. Erlbaum Associates Inc, HillsdaleGoogle Scholar
  10. 10.
    Endsley MR, Jones DG (2004) Designing for situation awareness: an approach to user-centered design. CRC Press, Boca RatonGoogle Scholar
  11. 11.
    Chinnici R, Moreau J-J, Ryman A, Weerawarana S (2007) Services Description Language (WSDL) Version 2.0 Part 1: Core language specification. W3CGoogle Scholar
  12. 12.
    Garofalakis J, Panagis Y, Sakkopoulos E, Tsakalidis A (2006) Contemporary web service discovery mechanisms. J. Web Eng. 5:265–290Google Scholar
  13. 13.
    Stroulia E, Wang Y (2005) Structural and semantic matching for assessing Web-service similarity. Int J Cooper Inf Syst 14:407–437CrossRefGoogle Scholar
  14. 14.
    Kopecky J, Vitvar T, Bournez C, Farrell J (2007) SAWSDL: semantic annotations for WSDL and XML schema. IEEE Internet Comput 11:60–67CrossRefGoogle Scholar
  15. 15.
    Martin D, Burstein M, Hobbs J, Lassila O, McDermott D, McIlraith S, Narayanan S, Paolucci M, Parsia B, Payne T, Sirin E, Srinivasan N, Sycara K (2004) OWL-S: Semantic Markup for Web Services. W3CGoogle Scholar
  16. 16.
    Roman D, Keller U, Lausen H, Lara R, Stollberg M, Polleres A, Feier C, Bussler C, Fensel D (2005) Web service modeling ontology. Appl Ontol 1:77–106Google Scholar
  17. 17.
    Dong H, Hussain FK, Chang E (2013) Semantic web Service matchmakers: state of the art and challenges. Concurr Comput Pract Exp 25:961–988CrossRefGoogle Scholar
  18. 18.
    Ludwig SA, Reyhani SMS (2005) Introduction of semantic matchmaking to Grid computing. J Parallel Distrib Comput 65:1533–1541CrossRefzbMATHGoogle Scholar
  19. 19.
    Satyanarayanan M (2001) Pervasive computing: vision and challenges. IEEE Pers Commun 8:10–17CrossRefGoogle Scholar
  20. 20.
    Dong H, Hussain FK, Chang E (2008) Transport service ontology and its application in the field of semantic search. In: The Proceedings of the 2008 IEEE international conference on service operations and logistics, and informatics (IEEE/SOLI 2008). IEEE, Beijing, China, pp 820–824Google Scholar
  21. 21.
    Dong H, Hussain FK, Chang E (2012) Ontology-learning-based focused crawling for online service advertising information discovery and classification. In: Liu C, Ludwig H, Toumani F, Yu Q (eds) Service-Oriented Computing, vol 7636. Springer, Berlin, pp 591–598CrossRefGoogle Scholar
  22. 22.
    Dong H, Hussain FK, Chang E (2013) UCOSAIS: A framework for user-centered online service advertising information search. In: Lin X, Manolopoulos Y, Srivastava D (eds) Web Information Systems Engineering—WISE 2013, vol 8180. Springer, Berlin, pp 267–276CrossRefGoogle Scholar
  23. 23.
    Dong H, Hussain FK, Chang E (2011) A context-aware semantic similarity model for ontology environments. Concurr Comput Pract Exp 23:505–524CrossRefGoogle Scholar
  24. 24.
    Agarwal S, Sprick B (2005) Specification of access control and certification policies for semantic web services. In: Bauknecht K, Pröll B, Werthner H (eds) E-Commerce and Web Technologies, vol 3590. Springer, Berlin, pp 348–357CrossRefGoogle Scholar
  25. 25.
    Serhani MA, Dssouli R, Hafid A, Sahraoui H (2005) A QoS broker based architecture for efficient Web services selection. In: Proceedings of 2005 IEEE international conference on web services (ICWS 2005). IEEE CS, Orlando, USA, pp 113–120Google Scholar
  26. 26.
    Arcieri F, Fioravanti F, Giaccio R, Nardelli E, Talmo M (2003) Certifying performance of cooperative services in a digital government framework. In: Proceedings of 2003 symposium on applications and the internet (SAINT’03). IEEE CS, Orlando, USA, pp 249–256Google Scholar
  27. 27.
    Leem CS, Lee HJ (2004) Development of certification and audit processes of application service provider for IT outsourcing. Technovation 24:63–71CrossRefGoogle Scholar
  28. 28.
    Hussain FK, Chang E, Dillon T (2004) Trustworthiness and CCCI metrics in P 2 P communication. Int J Comput Syst Sci Eng 19:173–190Google Scholar
  29. 29.
    Salton G, Wong A, Yang CS (1975) A vector space model for automatic indexing. Commun ACM 18:613–620CrossRefzbMATHGoogle Scholar
  30. 30.
    Deerwester SC, Dumais ST, Furnas GW, Harshman RA, Landauer TK, Lochbaum KE, Streeter LA (1988) Computer information retrieval using latent semantic structure. In: Patent, U.S. (ed.), vol. 4839853, USAGoogle Scholar
  31. 31.
    Robertson SE, Jones KS (1976) Relevance weighting for search terms. J Am Soc Inf Sci 27:129–146CrossRefGoogle Scholar
  32. 32.
    Baeza-Yates R, Ribeiro-Neto B (1999) Modern information retrieval. ACM Press, New YorkGoogle Scholar

Copyright information

© Springer-Verlag Wien 2013

Authors and Affiliations

  1. 1.School of Information Systems, Curtin Business SchoolCurtin University of TechnologyBentleyAustralia
  2. 2.Decision Support and e-Service Intelligence Laboratory, Quantum Computation and Intelligent Systems, School of Software, Faculty of Engineering and Information TechnologyUniversity of Technology SydneyUltimoAustralia

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