Matches in Ruben’s data for { <https://dx.doi.org/10.1007/978-3-319-58451-5_11> ?p ?o }
- 978-3-319-58451-5_11 subject FAIR_principles.
- 978-3-319-58451-5_11 subject Web_API_description.
- 978-3-319-58451-5_11 subject Web_services.
- 978-3-319-58451-5_11 subject interoperability.
- 978-3-319-58451-5_11 subject Computer_programming.
- 978-3-319-58451-5_11 subject Web_API.
- 978-3-319-58451-5_11 subject Big_Data.
- 978-3-319-58451-5_11 subject Metadata.
- 978-3-319-58451-5_11 subject Linked_Data.
- 978-3-319-58451-5_11 subject World_Wide_Web.
- 978-3-319-58451-5_11 authorList b0_b2301.
- 978-3-319-58451-5_11 topic FAIR_principles.
- 978-3-319-58451-5_11 topic Web_API_description.
- 978-3-319-58451-5_11 topic Web_services.
- 978-3-319-58451-5_11 topic interoperability.
- 978-3-319-58451-5_11 topic Computer_programming.
- 978-3-319-58451-5_11 topic Web_API.
- 978-3-319-58451-5_11 topic Big_Data.
- 978-3-319-58451-5_11 topic Metadata.
- 978-3-319-58451-5_11 topic Linked_Data.
- 978-3-319-58451-5_11 topic World_Wide_Web.
- 978-3-319-58451-5_11 abstract "Data science increasingly employs cloud-based Web application programming interfaces (APIs). However, automatically discovering and connecting suitable APIs for a given application is difficult due to the lack of explicit knowledge about the structure and datatypes of Web API inputs and outputs. To address this challenge, we conducted a survey to identify the metadata elements that are crucial to the description of Web APIs and subsequently developed the smartAPI metadata specification and associated tools to capture their domain-related and structural characteristics using the FAIR (Findable, Accessible, Interoperable, Reusable) principles. This paper presents the results of the survey, provides an overview of the smartAPI specification and a reference implementation, and discusses use cases of smartAPI. We show that annotating APIs with smartAPI metadata is straightforward through an extension of the existing Swagger editor. By facilitating the creation of such metadata, we increase the automated interoperability of Web APIs. This work is done as part of the NIH Commons Big Data to Knowledge (BD2K) API Interoperability Working Group.".
- 978-3-319-58451-5_11 datePublished "2017".
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