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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: