Name: Patricia Ryser-Welch
Type: User
Company: Department of Business and Trade, Open University, and Newcastle University
Bio: An experienced Data Architect specialising in using R, Python, Java. Knowledgeable in data engineering, data analytics and data science.
Location: United Kingdom
Blog: https://www.linkedin.com/in/patricia-ryser-welch-phd-fhea-58629053/
Patricia Ryser-Welch's Projects
AutoGenKnowGraph explores using NLP to create knowledge graphs from movie overviews, highlighting differences in computational and human predicate generation. It delves into challenges in semantic understanding and invites collaboration for enhancement.
Libraries development in Java to implement Cartesian Genetic Programming
Clojure library and command line application for converting CSV to RDF. An implementation of the W3C CSVW specifications
A small package to check Opal Server with assign in environment.
Workshop resources
demo
this repository is outdated and will be archived
The Web framework for perfectionists with deadlines.
A Django app to gather and send internal Government staff feedback, e.g. for open beta periods
An empty R project with the dataSHIELD test framework
DataSHIELD server side base functions
DataSHIELD client side base functions
Beta versions of new DataSHIELD client functions
R library to provides tools to connect to a DataSHIELD server
The DataSHIELD Interface. Virtual classes to be implemented for accessing data repositories and base functions to be used by DS clients.
Sharing parameters
DataShield server package to wraps some server functions
Sharing data in a privacy-preserving manner in DataSHIELD - Client-side code
Data sets used to test statistical functions using some grouped data
Enquiry management tool supporting the Ready to Trade campaign
An implementation of the Grammar of Graphics in R
Import Case Management System - Python/Django port on PostgreSQL database
An R Package used for running code in R from Java
This is small project to showcase how we can use chatgpt api to generate knowledge graphs using python. Idea is not to showcase fancy graphs but to extract entities and their relationships