Ale de Vries
Senior Product Manager
Peer-reviewed scholarly publications, in the form of journals, conference proceedings, monographs and reference works, are nearly universally available through the World Wide Web. The design of the interfaces to this material, the structure of the underlying data, and the architecture of the systems that serve them have traditionally been driven primarily by what is useful for a human reader. However, technological developments in the fields of machine-readable data and of automated text-based analysis, combined with market trends towards greater data openness and organizations partnering with each other for the development and application of technology, provide both an opportunity and a need to create machine-readable interfaces to scholarly data that support powerful machine-level access and interoperability while remaining user-friendly.
In this session, Elsevier will show the machine-readable interfaces that it has developed for scholarly content and bibliometrics, with an explanation of how it chose to implement them as RESTful APIs that leverage standard metadata vocabularies and response formats, and linked-data principles for URI/URL design and content negotiation.