RightField: Scientific Knowledge Acquisition by Stealth through Ontology-Enabled Spreadsheets


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

SEEK ID: https://fairdomhub.org/publications/329

DOI: 10.1007/978-3-642-33876-2_42

Projects: Example use cases, FAIRDOM

Publication type: Journal

Journal: Knowledge Engineering and Knowledge Management

Book Title: Knowledge Engineering and Knowledge Management

Editors: David Hutchison and Takeo Kanade and Josef Kittler and Jon M. Kleinberg and Friedemann Mattern and John C. Mitchell and Moni Naor and Oscar Nierstrasz and C. Pandu Rangan and Bernhard Steffen and Madhu Sudan and Demetri Terzopoulos and Doug Tygar and Moshe Y. Vardi and Gerhard Weikum and Annette ten Teije and Johanna Völker and Siegfried Handschuh and Heiner Stuckenschmidt and Mathieu d’Acquin and Andriy Nikolov and Nathalie Aussenac-Gilles and Nathalie Hernandez

Publisher: Springer Berlin Heidelberg

Citation: Knowledge Engineering and Knowledge Management 7603:438-441,Springer Berlin Heidelberg

Date Published: 2012

Registered Mode: Not specified

help Submitter
Wolstencroft, K., Owen, S., Horridge, M., Mueller, W., Bacall, F., Snoep, J., du Preez, F., Nguyen, Q., Krebs, O., & Goble, C. (2012). RightField: Scientific Knowledge Acquisition by Stealth through Ontology-Enabled Spreadsheets. In Lecture Notes in Computer Science (pp. 438–441). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-33876-2_42

Views: 4860

Created: 17th Apr 2017 at 18:03

Last updated: 8th Dec 2022 at 17:26

help Tags

This item has not yet been tagged.

help Attributions


Powered by
Copyright © 2008 - 2023 The University of Manchester and HITS gGmbH