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Data Triangulation in a User Evaluation of the Sealife Semantic Web Browsers

Oliver, H; Kostkova, P; de Quincey, E; (2010) Data Triangulation in a User Evaluation of the Sealife Semantic Web Browsers. In: Kostkova, P, (ed.) International Conference on Electronic Healthcare eHealth 2009: Electronic Healthcare. (pp. pp. 80-87). Springer, Berlin, Heidelberg: Istanbul, TURKEY. Green open access

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Abstract

There is a need for greater attention to triangulation of data in user-centred evaluation of Semantic Web Browsers. This paper discusses triangulation of data gathered during development of a novel framework for user-centred evaluation of Semantic Web Browsers. The data was triangulated from three sources: quantitative data from web server logs and questionnaire results, and qualitative data from semi-structured interviews. This paper shows how triangulation was essential in validation and completeness of the results, and was indispensable in ensuring accurate interpretation of the results in determining user satisfaction.

Type: Proceedings paper
Title: Data Triangulation in a User Evaluation of the Sealife Semantic Web Browsers
Event: 2nd Congress on Electronic Healthcare for the 21st Century
Location: Istanbul, TURKEY
Dates: 23 September 2009 - 25 September 2009
ISBN-13: 978-3-642-11744-2
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-642-11745-9_13
Publisher version: https://doi.org/10.1007/978-3-642-11745-9_13
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Semantic Web Browsers, User Evaluation, Data Triangulation, Healthcare Ontologies, Sealife
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Inst for Risk and Disaster Reduction
URI: https://discovery.ucl.ac.uk/id/eprint/10084363
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