PrEVIEw: Clustering and Visualising PubMed using Visual Interface
Publication Type:
Edited Conference Meeting Proceeding
Abstract:
The life sciences domain has been one of the early adopters
of Open Data Initiative and a considerable portion of the Linked Open
Data cloud is comprised of datasets from Life Sciences Linked Open Data
(LSLOD). This deluge of biomedical data and active research over the
past decade resulted in the flux of scientific publications in this domain.
PubMed resource provides access to MEDLINE, NLM’s database of citations
and abstracts in the biomedical domain. PubMed Central provides
links to full-text articles along with publisher web sites, and other related
resources. In this paper we present PubMed Visual Interface (PrEVIEw)-
a web based application to access information related to publication, research
topic, author and institute through a visual interface. PrEVIEw
not only provides useful information e.g. research topic of interest, research
collaboration at personal or institute level etc, for the biomedical
research community but also helpful for the working Data Scientist. We
also evaluate the usability of our system by using the standard system
usability scale as well as a custom questionnaire, particularly designed
to test the usability of the interface. Our overall usability score of 83.69
suggests that web based interface is easy to learn, consistent, and adequate
for frequent use.
Conference Name:
VOILA: Visualizations and User Interfaces for Ontologies and Linked Data Workshop co-located with ISWC 2016
Proceedings:
CEUR-WS volume 1704
Digital Object Identifer (DOI):
-
Publication Date:
17/10/2016
Volume:
vol. 1704
Pages:
17-27
Conference Location:
Japan
Research Group:
Institution:
National University of Ireland, Galway (NUIG)
Open access repository:
Yes
Publication document: