• Login
    View Item 
    •   Home
    • Research
    • Book Chapters
    • View Item
    •   Home
    • Research
    • Book Chapters
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of KAUSTCommunitiesIssue DateSubmit DateThis CollectionIssue DateSubmit Date

    My Account

    Login

    Quick Links

    Open Access PolicyORCID LibguideTheses and Dissertations LibguideSubmit an Item

    Statistics

    Display statistics

    Datamining with Ontologies

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Type
    Book Chapter
    Protocol
    Authors
    Hoehndorf, Robert cc
    Gkoutos, Georgios V.
    Schofield, Paul N.
    KAUST Department
    Bio-Ontology Research Group (BORG)
    Computational Bioscience Research Center (CBRC)
    Computer Science Program
    Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
    Date
    2016-04-27
    Permanent link to this record
    http://hdl.handle.net/10754/668674
    
    Metadata
    Show full item record
    Abstract
    The use of ontologies has increased rapidly over the past decade and they now provide a key component of most major databases in biology and biomedicine. Consequently, datamining over these databases benefits from considering the specific structure and content of ontologies, and several methods have been developed to use ontologies in datamining applications. Here, we discuss the principles of ontology structure, and datamining methods that rely on ontologies. The impact of these methods in the biological and biomedical sciences has been profound and is likely to increase as more datasets are becoming available using common, shared ontologies.
    Citation
    Hoehndorf, R., Gkoutos, G. V., & Schofield, P. N. (2016). Datamining with Ontologies. Data Mining Techniques for the Life Sciences, 385–397. doi:10.1007/978-1-4939-3572-7_19
    Publisher
    Springer Nature
    ISBN
    9781493935703
    9781493935727
    DOI
    10.1007/978-1-4939-3572-7_19
    PubMed ID
    27115643
    Additional Links
    https://link.springer.com/protocol/10.1007%2F978-1-4939-3572-7_19
    ae974a485f413a2113503eed53cd6c53
    10.1007/978-1-4939-3572-7_19
    Scopus Count
    Collections
    Bio-Ontology Research Group (BORG); Protocols; Computer Science Program; Computational Bioscience Research Center (CBRC); Book Chapters; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

    entitlement

    Related articles

    • Inferring ontology graph structures using OWL reasoning.
    • Authors: Rodríguez-García MÁ, Hoehndorf R
    • Issue date: 2018 Jan 5
    • Aber-OWL: a framework for ontology-based data access in biology.
    • Authors: Hoehndorf R, Slater L, Schofield PN, Gkoutos GV
    • Issue date: 2015 Jan 28
    • Automated ontology generation framework powered by linked biomedical ontologies for disease-drug domain.
    • Authors: Alobaidi M, Malik KM, Hussain M
    • Issue date: 2018 Oct
    • The anatomy of phenotype ontologies: principles, properties and applications.
    • Authors: Gkoutos GV, Schofield PN, Hoehndorf R
    • Issue date: 2018 Sep 28
    • Evaluating semantic similarity between Chinese biomedical terms through multiple ontologies with score normalization: An initial study.
    • Authors: Ning W, Yu M, Kong D
    • Issue date: 2016 Dec
    DSpace software copyright © 2002-2023  DuraSpace
    Quick Guide | Contact Us | KAUST University Library
    Open Repository is a service hosted by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items. For anonymous users the allowed maximum amount is 50 search results.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.