Developing a UMLS-based Indexing Tool for Health Science Repository System

One of the important procedures during the operation of an Institutional Repository System (IRS) is to categorize and index the submitted digital objects. Based on current practice, human catalogers are frequently involved in this process to make accurate categorization. Funded by NLM development grant, we are developing an UMLS-based indexing tool. The tool will be integrated or plug-in into most IRS, and categorize and assign MeSH headings and keywords to text-based digital objects automatically. The project has been supported under NLM Knowledge Management & Applied Informatics Grants (1 G08 LM008704-01) Project Website: http://umlsresearch.welch.jhmi.ed