Indexing Tool Result Comparison

NLM started a project called Indexing Initiative (II) in 1997. The objective of 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. As one of major achievements of this initiative, a system called Medical Text Indexer (MTI) has been developed for recommending MeSH terms to provide assistance to human indexers in automatic or semi-automatic fashions. The operation of MTI has been involved in fourteen servers and implementation of Prolog, C and Java.

To avoid reinventing the wheel and take advantage of what NLM has achieved, the project team has digested and analyzed the MTI application, and focused our effort on developing a practical application for the purpose of enhancing current Intuitional Repository System search functions with MeSH keywords capability.

In the followings, we demostrate the testing results of indexing tool, the outcome lists of MeSH headings. The first comparison is among MEDLINE Human Indexer, MTI, and our project. The samples are PubMed citations. The latter one is between MTI and our project, the samples are Working Papers from Hopkins Population Center.


Please choose a PubMed citation below and click "Compare with PubMed MEDLINE and MTI ":



Please choose a Working Paper from Hopkins Population Center and click "Compare with MTI ":


 

A.T.I.S
William H. Welch Medical Library
School of Medicine, Johns Hopkins University
2024 East Monument Street
Baltimore, MD 21205-2113