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Boehringer Ingelheim España S.A.
- Barcelona, Spain
- http://kolchinmax.ru
- @Kolchinmax
- in/kolchinmax
Starred repositories
🦜✨ Chat system, MCP server, and reusable components to improve LLMs capabilities when generating SPARQL queries
OBS plugin for local speech recognition and captioning using AI
Visualize RDF data in Jupyter with Pandas
Configurable change reporting for RDF vocabularies
Visual Studio Code extension providing editing support for RDF languages and knowledge graphs.
A lightweight tool to publish SKOS Vocabularies
Framework and command-line tools for integrating FollowTheMoney data streams from multiple sources
🔍 The Biolookup Service retrieves metadata and ontological information about biomedical entities.
Repository with ODRL policies for DUO concepts and demo implementation of the odrl:Offer - odrl:Request matching algorithm for DUO
🗺️ Community curated and predicted equivalences and related mappings between named biological entities that are not available from primary sources.
cthoyt / kgcl
Forked from INCATools/kgclDatamodel for KGCL (Knowledge Graph Change Language)
An intuitive and flexible RDF pipeline solution designed to simplify and automate ETL processes for efficient data management.
Reference Architectures for Graph Databases on AWS
LODsyndesis: Connectivity of LOD Datasets
An implementation for the approach enabling decentralised content negotiation
Classify Confluence pages using existing SKOS and RDFS controlled vocabularies, improve search, build better tables of contents, capture structured data alongside other content and integrate Conflu…
A Store back-end for rdflib to allow for reading and querying HDT documents
Tutorial for our submission to SWAT4HCLS "data-in-use"
An application to easily SPARQL query RDF data.
Graph database implementing the RDF and SPARQL standards. Very fast and scales to more than a trillion triples on a single commodity machine
Stardog Launchpad documentation and example configurations
A bundle of vimfiles for editing RDF data (syntaxes, completion, etc.)
Efficient Distributed Evaluation of SPARQL with Apache Spark


