Article

Knowledge-intensive conceptual retrieval and passage extraction of biomedical literature

Authors:

Neil Smalheiser,

Vetle Torvik, and

Jie HongAuthors Info & Claims

SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval

July 2007

Pages 655 - 662

https://doi.org/10.1145/1277741.1277853

Published: 23 July 2007 Publication History

Abstract

This paper presents a study of incorporating domain-specific knowledge (i.e., information about concepts and relationships between concepts in a certain domain) in an information retrieval (IR) system to improve its effectiveness in retrieving biomedical literature. The effects of different types of domain-specific knowledge in performance contribution are examined. Based on the TREC platform, we show that appropriate use of domain-specific knowledge in a proposed conceptual retrieval model yields about 23% improvement over the best reported result in passage retrieval in the Genomics Track of TREC 2006.

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Cited By

Wang XEl-Gohary N(2023)Deep Learning–Based Named Entity Recognition and Resolution of Referential Ambiguities for Enhanced Information Extraction from Construction Safety RegulationsJournal of Computing in Civil Engineering10.1061/(ASCE)CP.1943-5487.000106437:5Online publication date: Sep-2023
https://doi.org/10.1061/(ASCE)CP.1943-5487.0001064
Khatoon TGovardhan ASujatha D(2020)Improving Document Relevant accuracy by distinguish Doc2query Matching Mechanisms on Biomedical Literature2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence)10.1109/Confluence47617.2020.9058299(727-732)Online publication date: Jan-2020
https://doi.org/10.1109/Confluence47617.2020.9058299
Kao ANiraula NWhyatt D(2019)Part Name Normalization2019 IEEE International Conference on Prognostics and Health Management (ICPHM)10.1109/ICPHM.2019.8819386(1-6)Online publication date: Jun-2019
https://doi.org/10.1109/ICPHM.2019.8819386
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Index Terms

Knowledge-intensive conceptual retrieval and passage extraction of biomedical literature
1. Information systems
  1. Information retrieval

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Published In

cover image ACM Conferences

SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval

July 2007

946 pages

ISBN:9781595935977

DOI:10.1145/1277741

General Chairs:
Wessel Kraaij
TNO, The Netherlands
,
Arjen P. de Vries
CWI, The Netherlands
,
Program Chairs:
Charles L. A. Clarke
University of Waterloo, Canada
,
Norbert Fuhr
University of Duisburg-Essen, Germany
,
Noriko Kando
National Institute of Informatics, Japan

Copyright © 2007 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 July 2007

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SIGIR07

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SIGIR07: The 30th Annual International SIGIR Conference

July 23 - 27, 2007

Amsterdam, The Netherlands

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Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Cited By

Wang XEl-Gohary N(2023)Deep Learning–Based Named Entity Recognition and Resolution of Referential Ambiguities for Enhanced Information Extraction from Construction Safety RegulationsJournal of Computing in Civil Engineering10.1061/(ASCE)CP.1943-5487.000106437:5Online publication date: Sep-2023
https://doi.org/10.1061/(ASCE)CP.1943-5487.0001064
Khatoon TGovardhan ASujatha D(2020)Improving Document Relevant accuracy by distinguish Doc2query Matching Mechanisms on Biomedical Literature2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence)10.1109/Confluence47617.2020.9058299(727-732)Online publication date: Jan-2020
https://doi.org/10.1109/Confluence47617.2020.9058299
Kao ANiraula NWhyatt D(2019)Part Name Normalization2019 IEEE International Conference on Prognostics and Health Management (ICPHM)10.1109/ICPHM.2019.8819386(1-6)Online publication date: Jun-2019
https://doi.org/10.1109/ICPHM.2019.8819386
Torjmen-Khemakhem MGasmi K(2019)Document/Query Expansion based on Selecting Significant Concepts for Context Based Retrieval of Medical ImagesJournal of Biomedical Informatics10.1016/j.jbi.2019.103210(103210)Online publication date: May-2019
https://doi.org/10.1016/j.jbi.2019.103210
Liu R(2018)Automatic quality measurement for health information on the internetInternational Journal of Intelligent Information and Database Systems10.1504/IJIIDS.2014.0683408:4(340-358)Online publication date: 14-Dec-2018
https://dl.acm.org/doi/10.1504/IJIIDS.2014.068340
Fang FZhang BYin X(2018)Semantic Sequential Query Expansion for Biomedical Article SearchIEEE Access10.1109/ACCESS.2018.28618696(45448-45457)Online publication date: 2018
https://doi.org/10.1109/ACCESS.2018.2861869
Choi SChoi JYoo SKim HLee Y(2018)Semantic concept-enriched dependence model for medical information retrievalJournal of Biomedical Informatics10.1016/j.jbi.2013.08.01347:C(18-27)Online publication date: 27-Dec-2018
https://dl.acm.org/doi/10.1016/j.jbi.2013.08.013
Yin XHuang JLi Z(2018)Mining and modeling linkage information from citation context for improving biomedical literature retrievalInformation Processing and Management: an International Journal10.1016/j.ipm.2010.03.01047:1(53-67)Online publication date: 29-Dec-2018
https://dl.acm.org/doi/10.1016/j.ipm.2010.03.010
Hu QHuang J(2018)Passage extraction and result combination for genomics information retrievalJournal of Intelligent Information Systems10.1007/s10844-009-0097-434:3(249-274)Online publication date: 28-Dec-2018
https://dl.acm.org/doi/10.1007/s10844-009-0097-4
Liu KEl-Gohary N(2018)Unsupervised Named Entity Normalization for Supporting Information Fusion for Big Bridge Data AnalyticsAdvanced Computing Strategies for Engineering10.1007/978-3-319-91638-5_7(130-149)Online publication date: 19-May-2018
https://doi.org/10.1007/978-3-319-91638-5_7
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