Knowledgeable Computing and Reasoning Lab
Knowledgeable Computing and Reasoning (KRaCR) Lab at IIIT-Delhi, India, works on all aspects of Knowledge Graphs and ontologies.
IIIT Delhi, India
Pinned Repositories
aq-structured-platform
A structured integrated platform for the air quality data
cog-csv-owl-bridge
This is a CSV to OWL Bridge that converts CSV files to OWL and vice-versa.
cross-doc-relation-extraction
KXDocRE is a Knowledge Graph based cross document relation extraction technique.
document-level-relation-extraction
A NeuroSymbolic AI technique for extracting relations from documents.
el-embeddings
A neuro-symbolic reasoner for the EL++ description logic.
EmELpp
EmEL++ is a geometric approach to generate embeddings for the description logic EL++
iiitd-chatbot
Code repository for a chatbot that will be deployed at IIIT-Delhi, India.
ontoseer
OntoSeer is a tool to help users build better quality ontologies
owl2bench
An OWL 2 DL benchmark that can generate ABox and TBox axioms to test the scalability and performance of reasoners
sparql-cypher-transpiler
A SPARQL to Cypher query transpiler that converts a given SPARQL query to an equivalent Cypher query.
Knowledgeable Computing and Reasoning Lab's Repositories
kracr/EmELpp
EmEL++ is a geometric approach to generate embeddings for the description logic EL++
kracr/ODPReco
For a given ontology, this tool recommends the ODPs that can be used in the ontology
kracr/entity-prediction-kg
An approach to predict the neighbors of a new entity in a Knowledge Graph
kracr/OntoLearnBench
A benchmark for ontology learning and enrichment
kracr/kracr.github.io
KRaCR Lab's website code
kracr/approx-sparql-querying
Approximate SPARQL Querying Engine
kracr/bias-ontology
This repository contains the bias ontology design pattern (ODP) and the media bias ontology that has been built using the bias ODP.
kracr/dl-approx-reasoner
A concurrent approximate reasoner for OWL 2 DL
kracr/rdf-pg-eval
Evaluation of RDF graphs and Property Graphs on triple stores and graph DB
kracr/rel-triples-kg
Given a set of triples and a context, the task is to find all the relevant triples in a KG