gauravjaglan

kglab

Graph-Based Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, RDFlib, pySHACL, RAPIDS, NetworkX, iGraph, PyVis, pslpython, pyarrow, etc.

agrif-doc

build_build

build_hvac

ethereum_crawler

grids_ep

grids_grids

grids_storageSystem

hvac

hvac2

knowledge-explorer

LinkedDataHub

The Knowledge Graph notebook. Apache license.

Mini-react-app

onto-viewer

OntoViewer is an open-source project that is hosted by EDM Council. The project started in May 2019. OntoViewer is a JAVA application that is specifically designed to access both the ontology structure and its content in the easiest possible way. OntoViewer servers both as a web application and REST API.

onto_doc

ontolgies

OntologicalProductAnalysis

To develop an efficient Interpretation system that can predict the sentimental values through NLP tool which evaluates the Success rates of a Products/Services by doing comparative analysis of Tweets on Twitter.

OntologicalUserProfiling

Project implementing an algorithm which is proposed for automatically profiling user’s static and dynamic characteristics (interests, opinion and preference) generating an ontology. A java based web application is also developed to showcase the implementation of the algorithm.

ontology_documentation

Ontology Documentation tested on fibo ontologies

Ontology_documentation1

Ontospy

Python library and command-line interface for inspecting and visualizing RDF models aka ontologies.

pizza-ontology

The pizza ontology

posb

This repository contains the resources used for benchmarking EU Publications Office dataset. The dump is accessible from the publisher. However, almost all the dataset used in PROD are available in the following endpoint: http://publications.europa.eu/webapi/rdf/sparql

pyLODE

An OWL ontology documentation tool using Python and templating, based on LODE

renew_wind

sedmoon_website

spooky_movie_graph

test

UProOntoTool

An algorithm is proposed for automatically profiling user’s static and dynamic characteristics (interests, opinion and preference) generating an ontology. A java based web application is also developed to showcase the implementation of the algorithm.