ArticleBMC bioinformatics2017
SPANG: a SPARQL client supporting generation and reuse of queries for distributed RDF databases.
Article in BMC bioinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- The glycoconjugate ontology (GlycoCoO) for standardizing the annotation of glycoconjugate data and its application.Glycobiology · 2021Article
- An effective biomedical data migration tool from resource description framework to JSON.Database : the journal of biological databases and curation · 2019Article
- Enabling semantic queries across federated bioinformatics databases.Database : the journal of biological databases and curation · 2019Article
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2 authors.
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Abstract
backgroundToward improved interoperability of distributed biological databases, an increasing number of datasets have been published in the standardized Resource Description Framework (RDF). Although the powerful SPARQL Protocol and RDF Query Language (SPARQL) provides a basis for exploiting RDF databases, writing SPARQL code is burdensome for users including bioinformaticians. Thus, an easy-to-use interface is necessary.
resultsWe developed SPANG, a SPARQL client that has unique features for querying RDF datasets. SPANG dynamically generates typical SPARQL queries according to specified arguments. It can also call SPARQL template libraries constructed in a local system or published on the Web. Further, it enables combinatorial execution of multiple queries, each with a distinct target database. These features facilitate easy and effective access to RDF datasets and integrative analysis of distributed data.
conclusionsSPANG helps users to exploit RDF datasets by generation and reuse of SPARQL queries through a simple interface. This client will enhance integrative exploitation of biological RDF datasets distributed across the Web. This software package is freely available at http://purl.org/net/spang .
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