Skip to main content
SpringerLink
Log in

Semantic Interoperability Aggregation in Service Requirements Refinement

  • Regular Paper
  • Published:
Journal of Computer Science and Technology Aims and scope Submit manuscript

Abstract

Semantic refinement of stakeholders’ requirements is a fundamental issue in requirements engineering. Facing with the on-demand collaboration problem among the heterogeneous, autonomous, and dynamic service resources in the Web, service requirements refinement becomes extremely important, and the key issue in service requirements refinement is semantic interoperability aggregation. A method for creating connecting ontologies driven by requirement sign ontology is proposed. Based on connecting ontologies, a method for semantic interoperability aggregation in requirements refinement is proposed. In addition, we discover that the necessary condition for semantic interoperability is semantic similarity, and the sufficient condition is the coverability of the agreed mediation ontology. Based on this viewpoint, a metric framework for calculating semantic interoperability capability is proposed. This methodology can provide a semantic representation mechanism for refining users’ requirements; meanwhile, since users’ requirements in the Web usually originate from different domains, it can also provide semantic interoperability guidance for networked service discovery, and is an effective approach for the realization of on-demand service integration. The methodology will be beneficial in service-oriented software engineering and cloud computing.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. He K, Peng R, Liu W et al. Networked Software. Science Press, China, 2008. (in Chinese)

    Google Scholar 

  2. Karim S, Latif K, Tjoa A M. Providing universal accessibility using connecting ontologies: A holistic approach. In Proc. the 4th Int. Conf. Universal Access in Human Computer Interaction, Beijing, China, Jul. 22–27, 2007, pp.637–646.

  3. Cregan A. W3C semantic Web ontology languages: OWL and RDF tutorial. In ISO/IEC JTC1 SC32 11th Open Forum on Metadata Registries, Tutorial, Sydney, Australia, May 19–22, 2008.

  4. He K, He Y, Wang C et al. Ontology and Metamodeling Theory, Method and Applications. Science Press, China, 2008. (in Chinese)

    Google Scholar 

  5. Wang J, He K, Gong P et al. RGPS: A unified requirements meta-modeling frame for networked software. In Proc. the 3rd International Workshop on Advances and Applications of Problem Frames (IWAAPF 2008) at 30th International Conference on Software Engineering (ICSE 2008), Leipzig, Germany, May 10–18, 2008, pp.29–35.

  6. Stabb S, Studer R (eds.). Handbook on Ontologies. International Handbooks on Information Systems, Springer, 2004.

  7. Heflin J, Hendler J. Semantic interoperability on the Web. In Proc. Extreme Markup Languages 2000, Alexandria, USA, Aug. 15–18, 2000, pp.111–120.

  8. SIM-TBASSC. http://www.isi.edu/tbassco/index.html, Oct. 15, 2008.

  9. Pierre L, Jean M R et al. A Deployment and Research Roadmap for Semantic Interoperability: The EU SemanticHEALTH Project. eHealth Beyond the Horizon — Get IT There, Andersen S K et al. (eds.), 2008, pp.635–640.

  10. Cleverdon C. The Cranfield Tests on Index Language Devices. Morgan Kaufmann Multimedia Information and Systems Series, Morgan Kaufmann Publishers Inc., 1997, pp.47–59.

  11. Ehrig M, Euzenat J. Generalizing precision and recall for evaluating ontology matching. In Proc. the 4th International Semantic Web Conference (ISWC), Poster Session, Galway, Ireland, Nov. 6–10, 2005, PID-54.

  12. Euzenat J. Semantic precision and recall for ontology alignment evaluation. In Proc. the 20th International Joint Conference on Artificial Intelligence (IJCAI), Hyderabad, India, Jan. 6–12, 2007, pp.348–353.

  13. Budanitsky A. Lexical semantic relatedness and its application in natural language processing. Technical Report CSRG390, University of Toronto, 1999.

  14. Budanitsky A, Hirst G. Semantic distance in Word-Net: An experimental, application-oriented evaluation of five measures. In Proc. the NAACL 2001 Workshop on WordNet and Other Lexical Resource, Pittsburgh, USA, Jun. 3–4, 2001, pp.29–34.

  15. Liang P, Jansen A, Avgeriou P. Sharing architecture knowledge through models: Quality and cost. The Knowledge Engineering Review, 2008, 23(4): 225–244.

    Google Scholar 

  16. Ganesan P, Garcia-Molina H, Widom J. Exploiting hierarchical domain structure to compute similarity. ACM Transactions on Information Systems, 2003, 21(1): 64–93.

    Article  Google Scholar 

  17. Seidenberg J, Rector A. Web ontology segmentation: Analysis, classification and use. In Proc. the 15th International Conference on World Wide Web, Southampton, UK, May 11–14, 2006, pp.13–22.

  18. Zeng C, He K, Yu Z eta al. Towards improving Web service registry & repository model through ontology-based semantic interoperability. In Proc. the 9th International Conference on Grid and Cooperative Computing, Shenzhen, China, Oct. 24–26, 2008, pp.747–752.

  19. Chen H, He K, He Y et al. An automated approach for requirements driven model selection. In Proc. the 1st International Workshop on Data and Semantic Engineering for Emerging Technology and Services, Busan, Korea, Nov. 11–13, 2008, pp.1052–1057.

  20. Ivan M et al. (eds.). Collaborative Software Engineering. Springer, 2009.

Download references

Author information

Authors and Affiliations

  1. State Key Lab of Software Engineering (SKLSE), Wuhan University, Wuhan, 430072, China

    Ke-Qing He (Senior Member, CCF, IEEE), Jian Wang (Member, CCF) & Peng Liang (Member, CCF, ACM, IEEE)

Authors
  1. Ke-Qing He
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jian Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Peng Liang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ke-Qing He.

Additional information

This work is supported by the National Basic Research 973 Program of China under Grant No. 2007CB310801, the National Natural Science Foundation of China under Grant Nos. 60970017 and 60903034.

Rights and permissions

Reprints and permissions

About this article

Cite this article

He, KQ., Wang, J. & Liang, P. Semantic Interoperability Aggregation in Service Requirements Refinement. J. Comput. Sci. Technol. 25, 1103–1117 (2010). https://doi.org/10.1007/s11390-010-9392-3

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11390-010-9392-3

Keywords

Search

Navigation