Michel Dumontier (@micheldumontier)
github

micheldumontier

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  • Stars
    star
    64
  • Global Rank 286,771 (Top 10 %)
  • Followers 84
  • Following 12
  • Registered over 13 years ago
  • Most used languages
    Web Ontology Language     40.0 %
    Python
         10.0 %
    C++
         10.0 %
    JavaScript
         10.0 %
    HTML
         10.0 %
    PHP
         10.0 %
    Shell
         10.0 %
  • Location 🇳🇱 Netherlands
  • Country Total Rank 4,961
  • Country Ranking
    Web Ontology Language     1
    PHP
         861
    HTML
         1,710
    C++
         1,765
    Shell
         2,027
    Python
         2,723
    JavaScript
         4,402

Top repositories

1

php-lib

A PHP utility library
PHP
16
star
2

aptamerbase

Aptamers are single-stranded nucleic acid or amino acid polymers that recognize and bind to targets with high affinity and selectivity. The Aptamer Base is a database of detailed, structured information about the experimental conditions under which aptamers were selected and their binding affinity quantified.
10
star
3

sparql-langchain

A project that uses Langchain to construct SPARQL queries against SPARQL endpoints
Python
9
star
4

links

to capture links to various resources
3
star
5

torres-api-platform

The TORRES application using API platform
JavaScript
3
star
6

pdb2rdf

Automatically exported from code.google.com/p/pdb2rdf
Web Ontology Language
2
star
7

hcls-shex

ShEX and SHACL for validation of HCLS Dataset Descriptions
HTML
2
star
8

semanticwebopenbabel

Automatically exported from code.google.com/p/semanticwebopenbabel
C++
2
star
9

rnao

Automatically exported from code.google.com/p/rnao
Web Ontology Language
2
star
10

linked-open-relations

Automatically exported from code.google.com/p/linked-open-relations
Web Ontology Language
1
star
11

translator-knowledge-beacon

NCATS Translator Knowledge Beacon Application Programming Interface plus Sample code
Shell
1
star
12

translationalmedicineontology

A project of the W3C Semantic Web for Health Care and Life Sciences Interest Group. The goal was to demonstrate the feasibilty of using semantic web technologies to represent and link patient and public biomedical data using a lightweight ontology called the translational medicine ontology.
Web Ontology Language
1
star