Evidence map›Paper›PMID 19796398›Full record

ArticleBMC bioinformatics2009

A user-centred evaluation framework for the Sealife semantic web browsers.

Helen Oliver, Gayo Diallo, Ed de Quincey, Dimitra Alexopoulou, Bianca Habermann, Patty Kostkova, Michael Schroeder, Simon Jupp, Khaled Khelif, Robert Stevens and 2 more

Abstract read
In one paragraph

Article in BMC bioinformatics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Helen OliverCity eHealth Research Centre, City University, London, EC1V 0HB, UK. Helen.oliver.1@city.ac.uk
Gayo Diallo
Ed de Quincey
Dimitra Alexopoulou
Bianca Habermann
Patty Kostkova
Michael Schroeder
Simon Jupp
Khaled Khelif
Robert Stevens
Gawesh Jawaheer
Gemma Madle

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSemantically-enriched browsing has enhanced the browsing experience by providing contextualized dynamically generated Web content, and quicker access to searched-for information. However, adoption of Semantic Web technologies is limited and user perception from the non-IT domain sceptical. Furthermore, little attention has been given to evaluating semantic browsers with real users to demonstrate the enhancements and obtain valuable feedback. The Sealife project investigates semantic browsing and its application to the life science domain. Sealife's main objective is to develop the notion of context-based information integration by extending three existing Semantic Web browsers (SWBs) to link the existing Web to the eScience infrastructure.

methodsThis paper describes a user-centred evaluation framework that was developed to evaluate the Sealife SWBs that elicited feedback on users' perceptions on ease of use and information findability. Three sources of data: i) web server logs; ii) user questionnaires; and iii) semi-structured interviews were analysed and comparisons made between each browser and a control system.

resultsIt was found that the evaluation framework used successfully elicited users' perceptions of the three distinct SWBs. The results indicate that the browser with the most mature and polished interface was rated higher for usability, and semantic links were used by the users of all three browsers.

conclusionConfirmation or contradiction of our original hypotheses with relation to SWBs is detailed along with observations of implementation issues.

Indexed as

InternetSemanticsUser-Computer InterfaceComputational BiologyDatabases, Factual

Identifiers

PMID19796398
PMCPMC2755822

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.