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. 2008 Oct;41(5):694-705.
doi: 10.1016/j.jbi.2008.04.001. Epub 2008 Apr 11.

HCLS 2.0/3.0: health care and life sciences data mashup using Web 2.0/3.0

Kei-Hoi Cheung  1 , Kevin Y Yip, Jeffrey P Townsend, Matthew Scotch
Affiliations

HCLS 2.0/3.0: health care and life sciences data mashup using Web 2.0/3.0

Kei-Hoi Cheung et al. J Biomed Inform. 2008 Oct.

Abstract

We describe the potential of current Web 2.0 technologies to achieve data mashup in the health care and life sciences (HCLS) domains, and compare that potential to the nascent trend of performing semantic mashup. After providing an overview of Web 2.0, we demonstrate two scenarios of data mashup, facilitated by the following Web 2.0 tools and sites: Yahoo! Pipes, Dapper, Google Maps and GeoCommons. In the first scenario, we exploited Dapper and Yahoo! Pipes to implement a challenging data integration task in the context of DNA microarray research. In the second scenario, we exploited Yahoo! Pipes, Google Maps, and GeoCommons to create a geographic information system (GIS) interface that allows visualization and integration of diverse categories of public health data, including cancer incidence and pollution prevalence data. Based on these two scenarios, we discuss the strengths and weaknesses of these Web 2.0 mashup technologies. We then describe Semantic Web, the mainstream Web 3.0 technology that enables more powerful data integration over the Web. We discuss the areas of intersection of Web 2.0 and Semantic Web, and describe the potential benefits that can be brought to HCLS research by combining these two sets of technologies.

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Figures

Figure 1
Figure 1
Number of databases published in the NAR Database Issues between 1999 and 2005.
Figure 2
Figure 2
A typical research workflow that involves the use of microarrays.
Figure 3
Figure 3
Microarray data and gene annotation provided by two sites.
Figure 4
Figure 4
A Dapper interface for querying and retrieving gene annotation.
Figure 5
Figure 5
(a) A Yahoo! pipe for mashup of microarray data and gene annotation and (b) integrated output.
Figure 6
Figure 6
(a) A Yahoo! pipe for filtering US state cancer profile data and (b) display the results using Google Maps.
Figure 7
Figure 7
A mashup of the state cancer profile map and water pollution map.
Figure 8
Figure 8
Semantic mashup between existing Web pages.
See this image and copyright information in PMC

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