Name: Arabic Infectious Disease Ontology
Description: This file contains an Arabic Infectious Disease Ontology to include Non-Standard Terminology. The Arabic Infectious Disease Ontology is written in the Arabic language, and is the first ontology in Arabic specialising in the infectious disease domain. It contains 11 classes, 21 object properties, 11 datatype properties, and 215 individual concepts.
Provider: Lancaster University
Paper Title: Developing an Arabic Infectious Disease Ontology to Include Non-Standard Terminology
Tasks: infectious disease ontology
Venue Name: Language Resources and Evaluation Conference
Authors: Lama Alsudias, Paul Rayson
Abstract: Building ontologies is a crucial part of the semantic web endeavour. In recent years, research interest has grown rapidly in supporting
  languages such as Arabic in NLP in general but there has been very little research on medical ontologies for Arabic. We present a new
  Arabic ontology in the infectious disease domain to support various important applications including the monitoring of infectious disease
  spread via social media. This ontology meaningfully integrates the scientific vocabularies of infectious diseases with their informal
  equivalents. We use ontology learning strategies with manual checking to build the ontology. We applied three statistical methods for
  term extraction from selected Arabic infectious diseases articles: TF-IDF, C-value, and YAKE. We also conducted a study, by consulting
  around 100 individuals, to discover the informal terms related to infectious diseases in Arabic. In future work, we will automatically
  extract the relations for infectious disease concepts but for now these are manually created. We report two complementary experiments
  to evaluate the ontology. First, a quantitative evaluation of the term extraction results and an additional qualitative evaluation by a
  domain expert.