title: Developing a UMLS-based indexing tool for health science repository system.
abstract: 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.
authors.affiliation: Welch Medical Library, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
authors.forename: Dongming
authors.initials: D
authors.lastname: Zhang
authors.forename: Nancy K
authors.initials: NK
authors.lastname: Roderer
authors.forename: Guang
authors.initials: G
authors.lastname: Huang
authors.forename: Xin
authors.initials: X
authors.lastname: Zhao
mesh_terms: D000043:Abstracting and Indexing / Q000379:methods*; D046650:Medical Subject Headings; D009323:Natural Language Processing; D017432:Unified Medical Language System