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J Biomed Inform. 2014 Feb;47:112-30. doi: 10.1016/j.jbi.2013.10.001. Epub 2013 Oct 14.

ReVeaLD: a user-driven domain-specific interactive search platform for biomedical research.

Author information

1
Digital Enterprise Research Institute (DERI), National University of Ireland, Galway, Ireland. Electronic address: maulik.kamdar@deri.org.
2
Centre for Research and Technology Hellas, Thessaloniki, Greece; Information Systems Lab, University of Macedonia, Thessaloniki, Greece. Electronic address: zeginis@iti.gr.
3
Digital Enterprise Research Institute (DERI), National University of Ireland, Galway, Ireland. Electronic address: ali.hasnain@deri.org.
4
Digital Enterprise Research Institute (DERI), National University of Ireland, Galway, Ireland. Electronic address: stefan.decker@deri.org.
5
Digital Enterprise Research Institute (DERI), National University of Ireland, Galway, Ireland. Electronic address: helena.deus@deri.org.

Abstract

Bioinformatics research relies heavily on the ability to discover and correlate data from various sources. The specialization of life sciences over the past decade, coupled with an increasing number of biomedical datasets available through standardized interfaces, has created opportunities towards new methods in biomedical discovery. Despite the popularity of semantic web technologies in tackling the integrative bioinformatics challenge, there are many obstacles towards its usage by non-technical research audiences. In particular, the ability to fully exploit integrated information needs using improved interactive methods intuitive to the biomedical experts. In this report we present ReVeaLD (a Real-time Visual Explorer and Aggregator of Linked Data), a user-centered visual analytics platform devised to increase intuitive interaction with data from distributed sources. ReVeaLD facilitates query formulation using a domain-specific language (DSL) identified by biomedical experts and mapped to a self-updated catalogue of elements from external sources. ReVeaLD was implemented in a cancer research setting; queries included retrieving data from in silico experiments, protein modeling and gene expression. ReVeaLD was developed using Scalable Vector Graphics and JavaScript and a demo with explanatory video is available at http://www.srvgal78.deri.ie:8080/explorer. A set of user-defined graphic rules controls the display of information through media-rich user interfaces. Evaluation of ReVeaLD was carried out as a game: biomedical researchers were asked to assemble a set of 5 challenge questions and time and interactions with the platform were recorded. Preliminary results indicate that complex queries could be formulated under less than two minutes by unskilled researchers. The results also indicate that supporting the identification of the elements of a DSL significantly increased intuitiveness of the platform and usability of semantic web technologies by domain users.

KEYWORDS:

Data visualization; Domain-specific languages; Human–computer interaction; Knowledge discovery; Semantic web technologies; Visual query system

PMID:
24135450
DOI:
10.1016/j.jbi.2013.10.001
[Indexed for MEDLINE]
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