RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information.
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Updated
May 29, 2024 - Python
The Semantic Web is an extension of the World Wide Web through standards set by the World Wide Web Consortium (W3C). The goal of the Semantic Web is to make Internet data machine-readable.
This can be seen in various aspects of web development, one being semantic HTML as a way to give your markup meaning, microformats like schema.org or linked-data like json-ld. Another aspect is from the opposite perspective: Reading and interpreting data. This can be done with metadata via RDF.
RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information.
A curated list of various semantic web and linked data resources.
🔗 Semantic MediaWiki turns MediaWiki into a knowledge management platform with query and export capabilities
DBpedia Spotlight is a tool for automatically annotating mentions of DBpedia resources in text.
Metadata and website for the Open Bio Ontologies Foundry Ontology Registry
A JSON-LD Processor and API implementation in JavaScript
Eclipse RDF4J: scalable RDF for Java
JSON-LD processor written in Python
The low-code Knowledge Graph application platform. Apache license.
Extract embedded metadata from HTML markup
RDF.rb is a pure-Ruby library for working with Resource Description Framework (RDF) data.
Linked Open Data Modeling Language
JSON-LD processor for PHP
Apache Anything To Triples (Any23) is a library, a web service and a command line tool that extracts structured data in RDF format from a variety of Web documents.
Link Discovery Framework for Metric Spaces.
For finding, sharing and exchanging Data, Models, Simulations and Processes in Science.
Ontology for the description of human clinical features
KBPedia Knowledge Graph & Knowledge Ontology (KKO)
An ontology of cell types
A Python frontend to (Open Biomedical) Ontologies.
Created by Tim Berners-Lee, James Alexander Hendler, Ora Lassila