NCBI2RDF: Enabling Full RDF-Based Access to NCBI Databases

Author:

Anguita Alberto1,García-Remesal Miguel1,de la Iglesia Diana1,Maojo Victor1

Affiliation:

1. Biomedical Informatics Group, Artificial Intelligence Laboratory, School of Computer Science, Universidad Politécnica de Madrid, Campus de Montegancedo S/N, Boadilla del Monte, 28660 Madrid, Spain

Abstract

RDF has become the standard technology for enabling interoperability among heterogeneous biomedical databases. The NCBI provides access to a large set of life sciences databases through a common interface called Entrez. However, the latter does not provide RDF-based access to such databases, and, therefore, they cannot be integrated with other RDF-compliant databases and accessed via SPARQL query interfaces. This paper presents the NCBI2RDF system, aimed at providing RDF-based access to the complete NCBI data repository. This API creates a virtual endpoint for servicing SPARQL queries over different NCBI repositories and presenting to users the query results in SPARQL results format, thus enabling this data to be integrated and/or stored with other RDF-compliant repositories. SPARQL queries are dynamically resolved, decomposed, and forwarded to the NCBI-provided E-utilities programmatic interface to access the NCBI data. Furthermore, we show how our approach increases the expressiveness of the native NCBI querying system, allowing several databases to be accessed simultaneously. This feature significantly boosts productivity when working with complex queries and saves time and effort to biomedical researchers. Our approach has been validated with a large number of SPARQL queries, thus proving its reliability and enhanced capabilities in biomedical environments.

Funder

European Commission

Publisher

Hindawi Limited

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine

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1. Snake Venom Database (SVDB);Proceedings of the 2018 2nd International Conference on Computational Biology and Bioinformatics - ICCBB 2018;2018

2. BioCarian: search engine for exploratory searches in heterogeneous biological databases;BMC Bioinformatics;2017-10-02

3. Supporting inter-topic entity search for biomedical Linked Data based on heterogeneous relationships;Computers in Biology and Medicine;2017-08

4. Efficient Exploration of Biological Data Using Semantic Web Compatible Databases;2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI);2016-11

5. cMapper: gene-centric connectivity mapper for EBI-RDF platform;Bioinformatics;2016-09-25

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