Skip to main content
Log in

Improving efficiency of service discovery using Linked data-based service publication

  • Published:
Information Systems Frontiers Aims and scope Submit manuscript

Abstract

It is considered that Web services have had a tremendous impact on the web as a potential silver bullet for supporting a distributed service-based economy on a global scale. However, despite the outstanding progress, their uptake on a web scale has been significantly less than initially anticipated due to higher usage thresholds. For instance, it is a hard task for service provider to seek appropriate semantic information such as OWL ontologies for service annotation in the service publication stage due to the fact that nowadays we are suffering from serious lack of available and ubiquitous ontologies for global consensus. Also it is not realistic for query users who do not possess much semantic knowledge to specify their requests with associated semantic information in the service discovery stage. In this paper, we propose a methodology to build a global social service network based on Link data principles for reducing the using thresholds. First, we propose Linked social service which is published on the open web by following Linked data principles with social link, and then we suggest a new platform for constructing a global social service network based on Linked social service. Then, an approach is proposed to enable exploitation of global social service network, providing Linked Social Service as a Service. Finally, experimental results show that the Linked social service can reduce the using threshold by enabling exploring service to service based on the global social service network.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

References

  • Auer, S., Bizer, C., Kobilarov, G., Lehmann. J., Cyganiak, R., & Ives, Z. (2008). DBpedia: A nucleus for a web of open data. In Proceedings of 6th International Semantic Web Conference (pp. 722–735).

  • Bell, D., Cesare, D. S., Lacovelli, N., Lycett, M., & Merico, A. (2007). A framework for deriving semantic web services. Information Systems Frontiers, 9(1), 69–84. doi:10.1007/s10796-006-9018-z.

    Article  Google Scholar 

  • Bellwood, T., Capell, S., Clement, L., Colgrave, J., Dovey, J. M., Daniel, F., et al. (2004). UDDI specification version 3.0.2. Technical report, OASIS.

  • Bizer, C., Heath, T., & Lee, T. B. (2008). Linked Data: principles and state of the art, 17th International World Wide Web Conference W3C Track @ WWW2008, Beijing, China.

  • Broekstra, J., Kampman, A., & Harmelen, F. V. (2003). Sesame: An architecture for storing and querying RDF data and schema information. Spinning the Semantic Web 2003: 197–222.

  • Burstein, M., Hobbs, J., Lassila, O., Mcdermot, D., Mcilraith, S., Narayanan, S., et al. (2004). OWL-S: Semantic markup for web services. Member submission, W3C.

  • Erl, T. (2007). SOA principles of service design. Prentice Hall: The Prentice Hall Service-Oriented Computing Series.

    Google Scholar 

  • Fensel, D., Lausen, H., Polleres, A., Bruijn, J. D., Stollberg, M., Roman, D., et al. (2007). Enabling semantic web services: The web service modeling ontology. Springer.

  • Heath, T., & Bizer, C. (2011). Linked Data: Evolving the web into a global data space (1st edition). Synthesis lectures on the semantic web: Theory and technology, 1:1, 1–136. Morgan & Claypool.

  • Heath, T., Hepp, M., & Bizer, C. (2009). Linked Data—The story so far. Special Issue on Linked Data, International Journal on Semantic Web and Information Systems (IJSWIS). http://linkeddata.org/docs/ijswis-special-issue

  • Hsu, I. C. (2011). Personalized web feeds based on ontology technologies. Information Systems Frontiers. doi:10.1007/s10796-011-9337-6.

  • Inannis, V. (2005). Semantic similarity methods in wordnet and their application to information retrieval on the web. In 7th ACM Intern. Workshop on Web Information and Data Management.

  • Jiang, W., Lee, D., & Hu, S. (2012). Large-scale longitudinal analysis of SOAP-based and RESTfulWeb services. Proceeding of the 19th international conference on Web Service.

  • Klusch, M., Fries, B., & Sycara, K. (2006). Automated semantic web service discovery with OWLS-MX. Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems http://portal.acm.org/citation.cfm?doid=1160633.1160796.

  • Maamar, Z., Santos, P., Wives, L., Badr, Y., Faci, N., & Oliveira, J. (2011-1). Using social networks for web services discovery. IEEE Internet Computing, 15(4), 48–54

    Google Scholar 

  • Maamar, Z., Hacid, H., & Huhns, N. M. (2011-2). Why web services need social networks. IEEE Internet Computing, 15(2), 90–94.

    Google Scholar 

  • Masri, E., & Mahmoud, Q. H. (2008). Investigating web services on the world wide web. Proceeding of the 17th international conference on World Wide Web.

  • Pedrinaci, C., Hall, W., & Keynes, M. (2010). Toward the next wave of services: linked services for the web of data. Journal of UCS, 16(13), 1694–1719.

    Google Scholar 

  • Pilioura, T., & Tsalgatidou, A. (2009). Unified publication and discovery of semantic web services. ACM Transactions on the Web, 3(3), 1–44.

    Article  Google Scholar 

  • Richardson, T., & Ruby, S. (2007). RESTful Web Services. O’Reilly Media Inc.

  • Tan, W., Zhang, J., Madduri, R., Foster, I., Roure, D. R., & Goble, C. (2011). Providing map and GPS assistance to service composition in bioinformatics. IEEE International Conference on Service Computing (SCC), 608–615. doi:10.1109/SCC.2011.113.

  • Wang, X., Ding, Y., & Zhao, Y. (2006). Similarity measurement about ontology-based semantic web services. ECOWS, 19–24.

  • Zhang, J., Tan, W., Alexander, J., Foster, I., & Madduri, R. (2011). Recommend-As-You-Go: A novel approach supporting services-oriented scientific workflow reuse. IEEE International Conference on Service Computing (SCC), 48–55. doi:10.1109/SCC.2011.120.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Wuhui Chen.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Chen, W., Paik, I. Improving efficiency of service discovery using Linked data-based service publication. Inf Syst Front 15, 613–625 (2013). https://doi.org/10.1007/s10796-012-9381-x

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10796-012-9381-x

Keywords

Navigation