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ISDB: Interaction Sentence Database.

Michael A Bauer¹, Robert E Belford, Jing Ding

¹Department of Information Science, University of Arkansas at Little Rock, 2801 S, University Ave, Little Rock, AR, 72204, USA. jdberleant@ualr.edu.

BMC Research Notes

|May 5, 2010

Summary

This summary is machine-generated.

The Interaction Sentence Database (ISDB) provides researchers with curated sentence sets for analyzing biological interactions. This tool aids in developing better information extraction systems for scientific literature.

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Area of Science:

Bioinformatics
Computational Biology
Natural Language Processing

Background:

The exponential growth of online scientific literature necessitates automated data analysis.
Improved information extraction tools require better understanding of sentence characteristics indicating biological interactions.

Purpose of the Study:

To develop a database and retrieval system for sentences describing interactions between biological entities.
To support corpus-based research on sentence properties related to biological interactions.

Main Methods:

Created a database of sentences from MEDLINE abstracts containing biomolecule and interaction terms.
Developed a web interface for querying sentences based on interaction terms and biomolecule names.

Main Results:

The Interaction Sentence Database (ISDB) enables retrieval of specific sentence sets.
Users can query for sentences with interaction terms, single/multiple biomolecules, or co-occurring biomolecules.

Conclusions:

ISDB offers researchers convenient access to sample sentences for corpus analysis.
The system serves as a model for sentence-based retrieval systems for online information discovery.