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links

to capture links to various resources

RDF interaction

  • SPARQL Anything -- query local/remote documents with sparql, deploy local fuseki server with yasgui interface.
  • YASGUI -- user interface for formulating SPARQL queries, with autocomplete.
  • SPARKLIS -- interface that uses a controlled natural language to query SPARQL endpoints
  • AtomGraph -- Linked Data Processor for SPARQL endpoints
  • Sketch -- Compose/validate RDF and obtain a graphical visualization
  • LodLive -- Explore SPARQL/IRI entities in a graphical manner.
  • SPARQLNotebook -- SPARQL notebook for VSCode
  • SPARQL-ML -- SPARQL microservices
  • GRLC -- Expose SPARQL queries as serverless RESTful services
  • SPARQL-Annotation-Syntax -- compatible with grlc services
  • SANSA - SANSA is a big data engine for scalable processing of large-scale RDF data.
  • OntoGen - RDF version control
  • KinGVisher SPARQL endpoint graph visualization
  • VoidGenerator
  • SparqlEditor - yasgui with autocomplete
  • Rudof - genenerate shex shapes and convert rdf
  • Shexer - learn shex shapes from rdf files

RDF Graph Databases

  • Virtuoso -- Virtuoso is a high-performance object-relational SQL database with WebDAV and SPARQL embedded into SQL for querying RDF data.
  • GraphDB -- GraphDB is an enterprise ready Semantic Graph Database, compliant with W3C Standards.
  • Blazegraph -- Blazegraph™ DB is a ultra high-performance graph database supporting Blueprints and RDF/SPARQL APIs.
  • AllegroGraph -- AllegroGraph is a purpose built, horizontal sharding, high-performance, persistent, graph and document database
  • Apache Jena TDB -- a native high performance triple store
  • Apache Jena Fuseki
  • Amazon Neptune -- hosted graph database
  • RDFox -- in memory RDF triple store with reasoning
  • OxiGraph -- Graph database based on RocksDb with SPARQL endpoint

RDF Validation

  • SHACLOnlineValidator - online SHACL validator
  • SoWasm - online RDF conversion tool
  • EasyRDF Converter -- clean and transform RDF
  • Turtle Validator
  • YASHE -- A ShExeditor with syntax checking and autocomplete
  • ShEx --
  • ShEx forms -- Automatic form generation and ShEx validation tool by Eric P
  • SHACL Playground -- validation tool for SHACL shapes
  • SHACL Validator
  • RDFShape -- to extract shapes from RDF graphs :: A Web app and library to extract SHACL/ShEx
  • SheXer -- to extract shapes from RDF graphs :: A library for automatic extraction of SHACL/ShEx
  • Shape Designer -- to extract shapes from RDF graphs :: A Java tool to extract SHACL/ShEx by Boneva et al
  • Shapes induction method -- to extract shapes from RDF graphs :: RDF shape induction using knowledge base profiling to generate Shapes by Mihindukulasooriya et al.
  • UnSHACLed -- to extract shapes from RDF graphs :: Defining constraints over RDF
  • SHACLGEN -- to extract shapes from RDF graphs or Ontologies :: A Python library to extract SHACL shapes
  • TopBraid Composer -- to extract shapes from RDF graphs or Ontologies
  • TopBrain SHACL API
  • Astrea -- to extract shapes from Ontologies :: Automatic extraction of SHACL shapes
  • SHACL Play -- to extract shapes from Ontologies :: OWL to SHACL converter
  • Shapes extraction using ontology patterns: -- to extract shapes from Ontologies :: Towards improving the quality of knowledge graphs with data-driven ontology patterns and SHACL by Spahiu et al.
  • Protégé -- to define shapes manually
  • Shaperone playground

Rule Learning & KG Embeddings

Explainable AI

  • Awesome Graph Explainability - graph explainability papers
  • KELPIE - XAI framework for interpreting Link Predictions on Knowledge Graphs
  • SHAP - SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model.
  • Pytorch Geometric - Pytorch GNN explainability

SPARQL Endpoints

Knowledge Graphs

Health Data

Drug Resources

Synthetic Data Generation

Annotation

Text Processing

Mapping

Data Portal

Companies of Interest

Policy

Pipelines

  • Orchest - visual python pipeline editor, executable over a kubernetes cluster

DeepLearning

  • DiffSound - Text to Sound
  • DALL-E2 - Text to Image
  • GPT-4 - Text to Text
  • CLIP- Contrastive Language-Image Pre-Training (CLIP)
  • NExT-GPT - Any-to-Any Multi-modal GPT
  • 4M - Apple's multi-modal language model
  • StableDiffusion - A latent text-to-image diffusion model to generate photo-realistic images given any text input
  • ExplainableAI - A list of xAI papers
  • DGL -- Deep Graph Library is a Python package built for graph neural networks on top of existing DL frameworks (PyTorch, MXNet and TensorFlow)
  • LangChain - Incorporates other elements with LLM
  • CTransfomers - Python bindings for the Transformer models implemented in C/C++ using GGML library.
  • GNNShap

Responsible AI

Drug Discovery

LLM

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