1.
Chinese Journal of Medical Library and Information Science
; (12): 35-39, 2017.
Article
in Chinese
| WPRIM
| ID: wpr-508077
ABSTRACT
It is necessary to provide a SPARQL query tool for biomedical researchers due to the massive data of bi-omedical ontology. However, manual input of SPARQL query statements is quite complicated and easy to produce errors. A Cytospace-based parameterized SPARQL query system was thus developed for biomedical ontology, which can generate a module with SPARQL query conditions used as parameters. Biomedical researchers can thus rapidly, easily and directly retrieve the data in several biomedical ontology knowledge libraries instead of manual input of SPARQL query statements.