Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10609/78207
Título : A UML profile for OData web APIs
Autoría: Ed-douibi, Hamza  
Canovas Izquierdo, Javier Luis  
Cabot, Jordi  
Otros: Universitat Oberta de Catalunya (UOC)
Citación : Ed-douibi, H., Cánovas Izquierdo, J.L. & Cabot, J. (2017). A UML Profile for OData Web APIs. Lecture Notes in Computer Science, 10360(), 420-428. doi: 10.1007/978-3-319-60131-1_28
Resumen : More and more individuals and organizations are making their data available online publicly, resulting in a growing market of technologies and services to help consume data and extract its real value. One of the several ways to publish data on the Web is via Web APIs. Unlike other approaches like RDF, Web APIs provide a simple way to query structured data by relying only on the HTTP protocol. Standards and frameworks such as Open API or API Blueprint offer a way to create Web APIs but OData stands out from the rest as it is specifically tailored to deal with data sources. However, creating an OData Web API is a hard and time-consuming task for data providers as they have to choose between relying on commercial solutions, which are heavy and require a deep knowledge of their corresponding platforms, or create a customized solution to share their data. We propose an approach that leverages on model-driven techniques to facilitate the development of OData Web APIs. The approach relies on a UML profile for OData allowing to annotate a UML class diagram with OData stereotypes. In this paper we describe the profile and show how class diagrams can be automatically annotated with such profile.
Palabras clave : UML
OData
web API
DOI: 10.1007/978-3-319-60131-1_28
Tipo de documento: info:eu-repo/semantics/conferenceObject
Versión del documento: info:eu-repo/semantics/submittedVersion
Fecha de publicación : 1-jun-2017
Licencia de publicación: http://creativecommons.org/licenses/by-nc-nd/3.0/es/  
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