Feb 16, 2024 · JSON-LD is intended to be a simple publishing method for expressing not only Linked Data in JSON, but for adding semantics to existing JSON. JSON-LD is designed as a …

JSON-LD is intended to be a simple publishing method for expressing not only Linked Data in JSON, but for adding semantics to existing JSON. JSON-LD is designed as a light-weight …

Feb 12, 2023 · This information can be extracted in JSON format, but each source has a different structure. In the following example you can see how I try to use "pyld" and "rdflib" to turn a …

Nov 7, 2024 · In this guide, we'll explore how to process JSON-LD effectively with Python. JSON-LD extends traditional JSON functionality by adding a context that links object properties to …

I couldn't find any examples in python so produced one. This is very basic as I'm still learning json-ld. It does not use bnodes. - json_to_jsonld.py.

Aug 3, 2014 · In a more real-world example, I've used a different JSON-LD context to convert JSON data from Pubmed and CrossRef APIs to a local publication ontology. Here, too, JSON …

The idea is to go from JSON to JSON-LD without changing the original JSON part. The way I see it to define a triple subject, one has to use an @id to map tot an IRI.

json_ld_processor is an implementation of a document-based (i.e., non-streaming) JSON-LD processor in Python. JSON-LD is a JSON representation format for Linked Data. A public …

JSON to JSON-LD Transformer, adds a specified JSON-LD context and additional provenance data to input JSON files, making them JSON-LD.

JSON-LD can provide a powerful bridge between “developer-friendly” JSON serializations and Linked Data frameworks. Well-constructed JSON-LD can be easy to work with in “traditional” …