RightField: Scientific knowledge acquisition by stealth through ontology-enabled spreadsheets

Katy Wolstencroft, Stuart Owen, Matthew Horridge, Wolfgang Mueller, Finn Bacall, Jacky Snoep, Franco Du Preez, Quyen Nguyen, Olga Krebs, Carole Goble

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    Abstract

    RightField is a Java application that provides a mechanism for embedding ontology annotation support for scientific data in Microsoft Excel or Open Office spreadsheets. The result is semantic annotation by stealth, with an annotation process that is less error-prone, more efficient, and more consistent with community standards. By automatically generating RDF statements for each cell a rich, Linked Data querying environment allows scientists to search their data and other Linked Data resources interchangeably, and caters for queries across heterogeneous spreadsheets. RightField has been developed for Systems Biologists but has since adopted more widely. It is open source (BSD license) and freely available from http://www.rightfield.org.uk. © 2012 Springer-Verlag.
    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.
    Pages438-441
    Number of pages3
    Volume7603
    DOIs
    Publication statusPublished - 2012
    Event18th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2012 - Galway City
    Duration: 1 Jul 2012 → …

    Conference

    Conference18th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2012
    CityGalway City
    Period1/07/12 → …

    Keywords

    • biology
    • e-science
    • linked data
    • metadata standards
    • ontology annotation
    • RDF
    • spreadsheets

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