Input data and outputs for the OCALM project

This repository contain a zip file with input and output data for an experiment with OCALM (https://github.com/fanavarro/ocalm):

input

ontologies: ontologies used as input (FoodOn, LKIF, GeneOntology), together with their normalized form.

text

food_text: natural language text corpus about food, including the original and the processed text.

gene_text: natural language text corpus about genetics, including the original and the processed text.

legal_text: natural language text corpus about legal topics, including the original and the processed text.

results: the results derived from comparing each ontology with each natural language text corpus by using OCALM.

NCBO_Recommender_results: the results of the NCBO Recommender with the same experiment performed by OCALM.

analysis.R: R script to get figures summarizing the results.

The SNOMED ontology and the medical text corpus used for input were not included due to licensing issues; however, the results are included in this repository.