MetaMap is a highly configurable program developed by Dr. Alan (Lan) Aronson at the National Library of Medicine (NLM) to map biomedical text to the UMLS Metathesaurus or, equivalently, to discover Metathesaurus concepts referred to in text. MetaMap uses a knowledge-intensive approach based on symbolic, natural-language processing (NLP) and computational-linguistic techniques. Besides being applied for both IR and data-mining applications, MetaMap is one of the foundations of NLM’s Medical Text Indexer (MTI) which is being used for both semiautomatic and fully automatic indexing of biomedical literature at NLM. For more information on MetaMap and related research, see the SKR Research Information Site.
Improvement in the October 2011 Release:
MetaMap2011 includes some significant enhancements, most notably algorithmic improvements that enable MetaMap to very quickly process input text that had previously been computationally intractable.
These enhancements include:
- Algorithmic Improvements
- Candidate Set Pruning
- Re-Organization of Additional Data Models
- Single-character alphabetic tokens
- Improved Treatment of Apostrophe-“s”
- New XML Command-Line Options
- Numbered Mappings
- User-Defined Acronyms and Abbreviations
Starting with MetaMap 2011, MetaMap is now available for Windows XP and Windows 7.
One of several projects that sound very close to being topic map mining programs.