skip to main content
10.1145/2093698.2093780acmotherconferencesArticle/Chapter ViewAbstractPublication PagesisabelConference Proceedingsconference-collections
research-article

Discovering novel biomedical relations using ASKNet semantic networks

Published: 26 October 2011 Publication History

Abstract

One of the greatest challenges facing the biomedical community at the moment is information overload. It is simply not feasible for researchers to read and absorb the sheer quantity of information available. For this reason, many important relationships are going undiscovered. This paper details the ASKNet project, and explains how it could be used to develop a tool that would allow biomedical researchers to firstly identify relationships of interest between entities such as proteins and genes, and secondly to automatically decide which of these relationships is genuinely novel in nature. In essence, ASKNet is capable of being the first fully autonomous system to produce genuine scientific discoveries.

References

[1]
O. Bodenreider. The unified medical language system (UMLS): integrating biomedical terminology. Nucleic Acids Research, 32:D267--D270, 2004.
[2]
J. Bos, S. Clark, M. Steedman, J. R. Curran, and J. Hockenmaier. Wide-coverage semantic representations from a CCG parser. In Proceedings of the 20th International Conference on Computational Linguistics (COLING-04), pages 1240--1246, Geneva, Switzerland, 2004.
[3]
S. Clark and J. R. Curran. Wide-coverage efficient statistical parsing with CCG and log-linear models. Computational Linguistics, 33(4):493--552, 2007.
[4]
A. M. Collins and E. F. Loftus. A spreading-activation theory of semantic processing. Psychological Review, 82(6):407--428, 1975.
[5]
B. Harrington. Managing uncertainty, importance and differing world-views in asknet semantic networks. In Proceedings of the fourth IEEE International Conference on Semantic Computing, Pittsburgh PA, USA, 2010.
[6]
B. Harrington. A semantic network approach to measuring relatedness. In Proceedings of the 23rd International Conference on Computational Linguistics (COLING 2010), Beijing, China, 2010.
[7]
B. Harrington and S. Clark. Asknet: Automated semantic knowledge network. In Proceedings of the 22nd National Conference on Artificial Intelligence (AAAI'07), pages 889--894, Vancouver, Canada, 2007.
[8]
B. Harrington and S. Clark. Asknet: Creating and evaluating large scale integrated semantic networks. International Journal of Semantic Computing, 2(3):343--364, 2009.
[9]
L. Rimell and S. Clark. Porting a lexicalized-grammar parser to the biomedical domain. Journal of Biomedical Informatics, 42(5):852--865, 2009.
[10]
P.-R. Wojtinnek, S. Pulman, and J. Völker. Automatically built semantic networks for determining semantic relations. International Journal of Semantic Computing: Special Issue on Semantic Knowledge Representation, 2011.

Cited By

View all
  • (2013)Getting Creative with Semantic SimilarityProceedings of the 2013 IEEE Seventh International Conference on Semantic Computing10.1109/ICSC.2013.63(330-333)Online publication date: 16-Sep-2013

Index Terms

  1. Discovering novel biomedical relations using ASKNet semantic networks

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Other conferences
    ISABEL '11: Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
    October 2011
    949 pages
    ISBN:9781450309134
    DOI:10.1145/2093698
    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]

    Sponsors

    • Universitat Pompeu Fabra
    • IEEE
    • Technical University of Catalonia Spain: Technical University of Catalonia (UPC), Spain
    • River Publishers: River Publishers
    • CTTC: Technological Center for Telecommunications of Catalonia
    • CTIF: Kyranova Ltd, Center for TeleInFrastruktur

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 26 October 2011

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. relation discovery
    2. semantic networks
    3. spreading activation

    Qualifiers

    • Research-article

    Conference

    ISABEL '11
    Sponsor:
    • Technical University of Catalonia Spain
    • River Publishers
    • CTTC
    • CTIF

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)0
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 10 Feb 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2013)Getting Creative with Semantic SimilarityProceedings of the 2013 IEEE Seventh International Conference on Semantic Computing10.1109/ICSC.2013.63(330-333)Online publication date: 16-Sep-2013

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media