Discovering and Using Functions via Content Negotiation

Data has been made reusable and machine-interpretable by publishing it as Linked Data. However, automatically processing Linked Data is not fully achieved yet, as manual effort is still needed to integrate existing tools and libraries within a certain technology stack. To enable automatic processing, we propose exposing functions and methods as Linked Data, and publishing it in different programming languages. Content negotiation can be used to cater to different technology stacks, and common, technology-independent identifiers make them discoverable. As such, we can enable automatic processing of Linked Data across formats and technology stacks. By using discovery endpoints, similar to those used to discover vocabularies and ontologies, the publication of these functions can remain decentralized.