Discovering Domain-Specific Public SPARQL Endpoints: A Life-Sciences Use-Case

Yasar Khan

doi:http://hdl.handle.net/10379/4495

Discovering Domain-Specific Public SPARQL Endpoints: A Life-Sciences Use-Case

Yasar Khan

Computer Science

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

Abstract

A significant portion of the LOD cloud consists of Life Sciences data sets. The LOD cloud contains billions of clinical facts linked together forming an interlinked Web of Clinical Data. However, tools for new publishers to find relevant datasets that could potentially be linked to are missing, particularly in specialist domain-specific settings. Based on a set of domain-specific keywords extracted from a local dataset, this paper proposes methods to automatically identify a list of public SPARQL endpoints whose content relates to the local dataset.

Original language	English (Ireland)
Title of host publication	18th International Database Engineering Applications Symposium
Place of Publication	Portugal
DOIs	https://doi.org/http://hdl.handle.net/10379/4495
Publication status	Published - 1 Jun 2014

Authors (Note for portal: view the doc link for the full list of authors)

Authors
Mehdi, M; Iqbal, A; Hogan, A; Hasnain, A; Khan, Y; Decker, S; Sahay, R

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Discovering Domain-Specific Public SPARQL Endpoints: A Life-Sciences Use-Case

Abstract

Authors (Note for portal: view the doc link for the full list of authors)

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