Automatic inference of indexing rules for MEDLINE

Background: Indexing is a crucial step in any information retrieval system. In MEDLINE , a widely used database of the biomedical literature, the indexing process involves the selection of Medical Subject Headings in order to describe the subject matter of articles. The need for automatic tools to a...

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Vydáno v:BMC bioinformatics Ročník 9; číslo Suppl 11; s. S11
Hlavní autoři: Névéol, Aurélie, Shooshan, Sonya E, Claveau, Vincent
Médium: Journal Article
Jazyk:angličtina
Vydáno: London BioMed Central 19.11.2008
BMC
Témata:
Abstracting and Indexing as Topic - methods
Algorithms
Artificial Intelligence
BASIC BIOLOGICAL SCIENCES
Biochemistry & Molecular Biology
Bioinformatics
Biomedical and Life Sciences
Biotechnology & Applied Microbiology
Computational Biology/Bioinformatics
Computer Appl. in Life Sciences
Life Sciences
Mathematical & Computational Biology
Medical Subject Headings
MEDLINE
Microarrays
Natural Language Processing
Programming Languages
MeSH
Training Corpus
Inductive Logic Programming
Manual Rule
Test Corpus
ISSN:1471-2105, 1471-2105
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Shrnutí:Background: Indexing is a crucial step in any information retrieval system. In MEDLINE , a widely used database of the biomedical literature, the indexing process involves the selection of Medical Subject Headings in order to describe the subject matter of articles. The need for automatic tools to assist MEDLINE indexers in this task is growing with the increasing number of publications being added to MEDLINE . Methods: In this paper, we describe the use and the customization of Inductive Logic Programming (ILP) to infer indexing rules that may be used to produce automatic indexing recommendations for MEDLINE indexers. Results: Our results show that this original ILP-based approach outperforms manual rules when they exist. In addition, the use of ILP rules also improves the overall performance of the Medical Text Indexer ( MTI ), a system producing automatic indexing recommendations for MEDLINE . Conclusion: We expect the sets of ILP rules obtained in this experiment to be integrated into MTI .
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SC0014664
USDOE Office of Science (SC), Biological and Environmental Research (BER). Biological Systems Science Division
ISSN:1471-2105
1471-2105
DOI:10.1186/1471-2105-9-S11-S11