Building Concept Maps from Unified Medical Language System (UMLS) Dataset
Anmandla Sindhura Reddy
Journal of E-Technology, Vol. 2, No. 3, 2011.
DOI: 
Link: http://www.dline.info/jet/fulltext/v2n3/2.pdf
Abstract:
The process of carrying out medical research involves time consuming and labor intensive tasks. There is a need to enhance the present scenario of medical research by using upcoming technologies. Most current computerized vocabularies use completely incompatible ways of classifying diseases. One vocabulary might organize certain diseases as acute or chronic, another might organize some disease based on the location. The Unified Medical Language System (UMLS) is an attempt to unify all medical vocabularies into a single hierarchy, like a kind of super-thesaurus, however the UMLS forgoes any attempt to organize information into a logically rigorous fashion. The aim of the project is to design a tool which would integrate UMLS and concept map technology. This tool could be used to cope up with the incredible chaos .The researchers can represent an idea or a concept in a graphical format, linking all the concepts together, resembling a growing neural network, effectively using the C-Map tools. The tool allows the conceptual information to be automatically converted into OWL and RDF [1], as needed and then into a concept map.