A Web Service Composition Method Based on OpenAPI Semantic Annotations [chapter]

Andrei Netedu, Sabin C. Buraga, Paul Diac, Liana Ţucăr
<span title="2019-11-28">2019</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rb5xpuc5enhpdf3boj3ixtmlri" style="color: black;">Advances in Intelligent Networking and Collaborative Systems</a> </i> &nbsp;
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 proposed method is increasing the expressiveness at the
more &raquo; ... ter level, using concept properties that define attributes expressed by name and type. Concept properties are inherited. The paper also describes how parameters are matched to create, in an automatic manner, valid compositions. Additionally, the composition algorithm is practically used on descriptions of Web services implemented by REST APIs expressed by OpenAPI specifications. Our proposal uses knowledge models (ontologies) to enhance these OpenAPI constructs with JSON-LD semantic annotations in order to obtain better compositions for involved services. We also propose an adjusted composition algorithm that extends the semantic knowledge defined by our model.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-030-34986-8_25">doi:10.1007/978-3-030-34986-8_25</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/opnajgme3jcwdm3oymln5a7hba">fatcat:opnajgme3jcwdm3oymln5a7hba</a> </span>
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