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A Provenance Assisted Roadmap for Life Sciences Linked Open Data Cloud


Ali Hasnain, Qaiser Mehmood, Syeda Sana E Zainab, Stefan Decker

Publication Type: 
Refereed Conference Meeting Proceeding
A significant portion of Web of Data is composed of multiple datasets that add high value to biomedical research. These datasets have been exposed on the web as a part of the Life Sciences Linked Open Data (LSLOD) Cloud. Different initiatives have been proposed for navigating through these datasets with or without vocabulary reuse. The significance of provenance information regarding life sciences data is great as compared to any other domain. With the provenance information, user becomes aware regarding the source, size, format along with authorization and privilege associated with the data. Previously, we proposed an approach for the creation of an active Linked Life Sciences Data Roadmap, that catalogues and links concepts as well as properties from 137 public SPARQL endpoints. In this work we extend the Roadmap with the provenance information collected directly by querying datasets. We designed a set of queries and the results were catalouged. This extended Roadmap is useful for dynamically assembling queries for retrieving data along with the provenance from multiple SPARQL endpoints. We also demonstrate its use in conjunction with other tools for selective SPARQL querying and the visualization of the LSLOD cloud. We have evaluated the performance of our approach in terms of time taken and success rates of data retrieved.
Conference Name: 
6th International Conference, KESW 2015, Russia, 2015
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Research Group: 
National University of Ireland, Galway (NUIG)
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