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Automatic Composition of Heterogeneous Models Based on Semantic Web Services

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Abstract

As an important function of a distributed decision support system, model composition aims to aggregate model functions to solve complex decision problems. Most existing methods on model composition only apply to the models which have the same type of input and output data so that they can be linked together directly. Those methods are inadequate for the heterogeneous models, since a heterogeneous model may have different types of input and output data that are represented in either qualitative or quantitative manner. This paper aims to address the problem of heterogeneous model composition by employing the techniques based on semantic web services and artificial intelligence planning. In this paper, the heterogeneous model composition problem is converted to the problem of planning in nondeterministic domains under partial observability. An automatic composition method is presented to generate the composite model based on the planning as model checking technique. The experiment results are also presented in this paper to show the feasibility and capability of our approach in dealing with the complex problems involving heterogeneous models.

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Notes

  1. The Protégé Ontology Editor and Knowledge Acquisition System: http://protege.stanford.edu/.

  2. Eclipse platform: http://www.eclipse.org/.

  3. Apache Tomcat: http://tomcat.apache.org/.

  4. Apache Axis2: http://axis.apache.org/axis2/java/core/.

  5. WebSphere ILOG JRules: http://www-01.ibm.com/software/integration/business-rule-management/jrules/.

  6. NuPDDL: http://mbp.fbk.eu/NuPDDL.html.

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Acknowledgments

This work is jointly supported by National Natural Science Foundations of China (No. 60903174, 61142010), the Fundamental Research Funds for the Central Universities, HUST: 2012QN087, 2012QN088, the Fund of Key Lab for Image Processing and Intelligent Control (20093) and the Leverhulme Trust (Grant No. RPG-101).

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Authors and Affiliations

  1. Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China

    Hui Huang, Xueguang Chen & Minghui Yu

  2. Department of Computer Science, University of Warwick, Coventry, CV4 7AL, UK

    Ligang He

  3. Department of Computer Science and Engineering, Henan Institute of Engineering, Zhengzhou, 451191, China

    Zhiwu Wang

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  1. Hui Huang
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Correspondence to Hui Huang.

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Huang, H., He, L., Chen, X. et al. Automatic Composition of Heterogeneous Models Based on Semantic Web Services. Int J Parallel Prog 43, 339–358 (2015). https://doi.org/10.1007/s10766-013-0279-0

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