Indexing Initiative Logo

DEMO
 
Indexing Example (1/27/99)


MTI Interactive
(Live System)

(Restricted)
 
Background Info
 
Project Information


Team Members
 
Focus Areas
 
Medical Text Indexer (MTI)


Semi-Automatic Indexing


Fully Automatic Indexing


MARS & MTI
Test Bed Results


Word Sense
Disambiguation (WSD)


Journal Descriptor (JD)
Indexing


Full Text Processing


MetaMap Technology
Transfer (MMTx)
      Objective:

The objective of NLM's Indexing Initiative (II) is to investigate methods whereby automated indexing methods partially or completely substitute for current indexing practices. The project will be considered a success if methods can be designed and implemented that result in retrieval performance that is equal to or better than the retrieval performance of systems based principally on humanly assigned index terms.


Background:

For more than 150 years, the National Library of Medicine has provided access to biomedical journal literature through the analytical efforts of human indexers. Since 1966, access has been provided in the form of electronically searchable document surrogates consisting of bibliographic citations, descriptors assigned by indexers from the MeSH controlled vocabulary and, since 1974, author abstracts of many, but not all, items. The objective of the Indexing Initiative project work is to investigate methods whereby automated indexing methods partially or completely substitute for current indexing practices. The project will be considered a success if methods can be designed and implemented that result in retrieval performance that is equal to or better than retrieval of citations based on humanly assigned index terms.

A project of this scope necessarily involves the efforts of many people. Project team members are from several NLM divisions, including the LHNCBC, LO, and NCBI.

The project will assume the availability of free text in the form of titles and abstracts but will also consider the increasing availability of the full text of journal articles in electronic form. The project will investigate concept-based indexing methods that go well beyond automatic word-based indexing (such as the inverted word index already part of MEDLINE). As insights are gained throughout the project, current operational processes or systems may be iteratively modified and improved in keeping with those insights.

The following presentation, papers, and poster presentation provide a good overiew of the Indexing Initiative:

The NLM Indexing Initiative's Medical Text Indexer, MedInfo 2004    PDF: The NLM Indexing Initiative's Medical Text Indexer, MedInfo 2004  (54kb)

A MEDLINE Indexing Experiment Using Terms Suggested by MTI, June 2002    PDF: A MEDLINE Indexing Experiment Using Terms Suggested by MTI, June 2002  (510kb)

Automated and Semi-automated Indexing, Report to the Board of Regents 2002    PDF: Automated and Semi-automated Indexing, Report to the Board of Regents 2002  (2.1MB)

The NLM Indexing Initiative, AMIA 2000    PDF: The NLM Indexing Initiative  (139kb)

1999 Report to the Board of Scientific Counselors    PDF: 1999 Report to the Board of Scientific Counselors  (203kb)

1999 AMIA Poster Presentation: Automated Assignment of Medical Subject Headings (html)

Medical Text Indexer (MTI) Processing Flow   PDF: Medical Text Indexer (MTI) Processing Flow  (395kb)




Resources:

Jump to NCBI's Entrez Search and Retrieval System button NCBI's Entrez Search and Retrieval System allows searching of several linked databases: PubMed, Nucleotide, Protein, Structure, Genome, PopSet, OMIM, Taxonomy, Books, Probe Set, and 3D Domains.

Jump to UMLS Knowledge Source button   UMLS Knowledge Source Server

Jump to MeSH Browser button   MeSH Browser

Get Acrobat Reader button   Adobe's free PDF reader "Acrobat Reader" is required for reading the papers available on this website.



 
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