RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information.
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Updated
May 27, 2024 - Python
RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information.
Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, NetworkX, RAPIDS, RDFlib, pySHACL, PyVis, morph-kgc, pslpython, pyarrow, etc.
Command line tools for simple RDF file operations
This project is part of the perfect memory developer training. This project parsers the data from a csv file, transform it into a rdfs graph and send to the exchange manager api to insert in the knowledge base. It uses an existing process called insertGraph to make this operation.
Semantic Technologies and Knowledge Graphs project work, Computer Science a.y. 2023-2024
🐍 Python Implementation and Extension of RDF2Vec
Flask API to access the elasticsearch-data transformed by efre-lod-elasticsearch tools and use it for openrefine-reconcilation
Python bindings for upgraded FaCT++ description logic reasoner
RDF and SPARQL ideas to build on top of [odgi](https://github.com/pangenome/odgi)
TextGraphs + LLMs + graph ML for entity extraction, linking, ranking, and constructing a lemma graph
A Python library to allow users to easily manipulate concepts from the OntoUML Vocabulary when using RDFLib.
Python client for searching, publishing and modifying nanopublications.
Converts Mizar ESX MML mathematical data to property graph formats - GraphML, YARS-PG for Neo4j, and other graph databases. Supports external RDF data.
This plugin aims to import connected database data and transform it into a geospatial data cache in the QGIS geographic information system (https://qgis.org/).
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