Background: Toward 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.
Results: We 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.
Conclusions: SPANG 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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http://dx.doi.org/10.1186/s12859-017-1531-1 | DOI Listing |
Sci Data
December 2024
Amsterdam UMC location University of Amsterdam, Department of Medical Informatics, Amsterdam, 1105, AZ, The Netherlands.
Faced with heterogeneity of healthcare data, we propose a novel approach for harmonizing data elements (i.e., attributes) across health data standards.
View Article and Find Full Text PDFComput Struct Biotechnol J
December 2024
Univ Rennes, Inria, CNRS, IRISA, 35000, Rennes, France.
The expansion of multi-omics datasets raises significant challenges for data integration and querying. To overcome these challenges, we developed a generic RDF-based integration schema that connects various types of differential -omics data, epigenomics, and regulatory information. This schema employs the FALDO ontology to enable querying based on genomic locations.
View Article and Find Full Text PDFJ Chem Phys
November 2024
Department of Physics and Astronomy, The University of Western Ontario, 1151 Richmond Street, London, Ontario N6A 3K7, Canada.
Data Brief
December 2024
MISTEA, University of Montpellier, INRAE & Institut Agro, France, 2, place Pierre Viala, 34060 Montpellier Cedex 2, France.
As the number of RDF datasets published on the Web grows, it becomes increasingly important to link similar entities across these datasets. We present the "RDF graph pair profiles dataset", designed to help the data linking community develop tools and carry out evaluation work. This dataset includes profiles of 30 RDF graph pairs, classified according to ontology matching (OM), instance matching (IM) or both (OM + IM).
View Article and Find Full Text PDFGenes (Basel)
September 2024
College of Bee Science and Biomedicine, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
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