BioFed: federated query processing over life sciences linked open data

201756 citationsJournal Articlegold Open Access

Authors

Ali Hasnain · Ollscoil na Gaillimhe – University of Galway

Qaiser Mehmood · Ollscoil na Gaillimhe – University of Galway

Syeda Sana e Zainab · Ollscoil na Gaillimhe – University of Galway

Muhammad Saleem · Leipzig University

Claude N. Warren · IBM (Ireland)

Durre Zehra · Ollscoil na Gaillimhe – University of Galway

Stefan Decker

Abstract

Developing and testing federated query engines for life sciences data is still a challenging task. According to our findings, it is advantageous to optimise the source selection. The cataloguing of SPARQL endpoints, including type and property indexing, leads to efficient querying of data resources over the Web of Data. This could even be further improved through the use of ontologies, e.g., for abstract normalisation of query terms.

Topics & Keywords

Semantic Web and Ontologies Biomedical Text Mining and Ontologies Scientific Computing and Data Management

UN Sustainable Development Goals

Responsible consumption and production

Publication Details

Published in: Journal of Biomedical Semantics

Volume 8, Issue 1, pp. 13-13

DOI: 10.1186/s13326-017-0118-0

Field-Weighted Citation Impact: 6.65