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A Web Service Composition Method Based on OpenAPI Semantic Annotations

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Advances in E-Business Engineering for Ubiquitous Computing (ICEBE 2019)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 41))

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Abstract

Automatic Web service composition is a research direction aimed to improve the process of aggregating multiple Web services to create some new, specific functionality. The use of semantics is required as the proper semantic model with annotation standards is enabling the automation of reasoning required to solve non-trivial cases. Most previous models are limited in describing service parameters as concepts of a simple hierarchy. Our proposal is increasing the expressiveness at the parameter level, using inherited concept properties that define attributes The paper also describes how parameters are matched to create, in an automatic manner, valid compositions. The composition algorithm is practically used on descriptions of Web services implemented by REST APIs expressed by OpenAPI specifications. Our proposal uses knowledge models to enhance these OpenAPI constructs with JSON-LD annotations in order to obtain better compositions for involved services.

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Notes

  1. 1.

    Web Services Glossary, W3C Working Group Note, 2004 – https://www.w3.org/TR/ws-gloss/.

  2. 2.

    Web Services Description Language (WSDL) Version 2.0, W3C Recommendation, 2007 – https://www.w3.org/TR/wsdl20/.

  3. 3.

    IRI (Internationalized Resource Identifiers – https://tools.ietf.org/html/rfc3987.

  4. 4.

    OpenAPI Spec – https://github.com/OAI/OpenAPI-Specification.

  5. 5.

    Lyft API – https://developer.lyft.com/docs.

  6. 6.

    FOAF (Friend Of A Friend) Specification – http://xmlns.com/foaf/spec/.

  7. 7.

    LocalBusiness, a particular physical business or branch of an organization – https://schema.org/LocalBusiness.

  8. 8.

    Swagger Editor – http://editor.swagger.io/.

  9. 9.

    JSON-LD Playground – https://json-ld.org/playground/.

  10. 10.

    OWL-S: Semantic Markup for Web Services – https://www.w3.org/Submission/OWL-S/.

  11. 11.

    RESTdesc – http://restdesc.org/.

  12. 12.

    Shapes Constraint Language (SHACL), W3C Recommendation, 2017 – https://www.w3.org/TR/shacl/.

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Authors and Affiliations

  1. Alexandru Ioan Cuza University of Iaşi, Iaşi, Romania

    Andrei Netedu, Sabin C. Buraga, Paul Diac & Liana Ţucăr

Authors
  1. Andrei Netedu
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  2. Sabin C. Buraga
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  3. Paul Diac
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  4. Liana Ţucăr
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Corresponding authors

Correspondence to Andrei Netedu , Sabin C. Buraga , Paul Diac or Liana Ţucăr .

Editor information

Editors and Affiliations

  1. ECB, Faculty of Engineering and Computing, Coventry University, Coventry, UK

    Kuo-Ming Chao

  2. School of Software, Shanghai Jiaotong University, Shanghai, China

    Lihong Jiang

  3. School of Business, University of New South Wales, Canberra, ACT, Australia

    Omar Khadeer Hussain

  4. National Taiwan Ocean University, Keelung City, Taiwan

    Shang-Pin Ma

  5. Faculty of Engineering and Computing, Coventry University, Coventry, UK

    Xiang Fei

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Netedu, A., Buraga, S.C., Diac, P., Ţucăr, L. (2020). A Web Service Composition Method Based on OpenAPI Semantic Annotations. In: Chao, KM., Jiang, L., Hussain, O., Ma, SP., Fei, X. (eds) Advances in E-Business Engineering for Ubiquitous Computing. ICEBE 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 41. Springer, Cham. https://doi.org/10.1007/978-3-030-34986-8_25

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