An Intelligent SPARQL Query Builder for Exploration of Various Life-science Databases
نویسندگان
چکیده
Database integration of a wide variety of life-science data is an important issue for comprehensive data analysis. Since Semantic Web technologies, such as Resource Description Framework (RDF), are expected to provide efficient data integration technologies, many lifescience databases are published in RDF with SPARQL Protocol and RDF Query Language (SPARQL) endpoints as search application programming interfaces on the web. However, although SPARQL supports very useful functions for exploring and integrating various datasets, many biologists find SPARQL difficult to use. To overcome this problem, we propose an intelligent SPARQL query builder that aids users with no knowledge on SPARQL in building queries. This paper discusses the methods used by this tool, its system design and implementation. The tool assists users in generating queries for cross-database annotations based on RDF and enhances the value of life-science data by exploring and integrating these data.
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