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Cross-linking BioThings APIs through JSON-LD to facilitate knowledge exploration

BACKGROUND: Application Programming Interfaces (APIs) are now widely used to distribute biological data. And many popular biological APIs developed by many different research teams have adopted Javascript Object Notation (JSON) as their primary data format. While usage of a common data format offers...

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Detalles Bibliográficos
Autores principales: Xin, Jiwen, Afrasiabi, Cyrus, Lelong, Sebastien, Adesara, Julee, Tsueng, Ginger, Su, Andrew I., Wu, Chunlei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5796402/
https://www.ncbi.nlm.nih.gov/pubmed/29390967
http://dx.doi.org/10.1186/s12859-018-2041-5
Descripción
Sumario:BACKGROUND: Application Programming Interfaces (APIs) are now widely used to distribute biological data. And many popular biological APIs developed by many different research teams have adopted Javascript Object Notation (JSON) as their primary data format. While usage of a common data format offers significant advantages, that alone is not sufficient for rich integrative queries across APIs. RESULTS: Here, we have implemented JSON for Linking Data (JSON-LD) technology on the BioThings APIs that we have developed, MyGene.info, MyVariant.info and MyChem.info. JSON-LD provides a standard way to add semantic context to the existing JSON data structure, for the purpose of enhancing the interoperability between APIs. We demonstrated several use cases that were facilitated by semantic annotations using JSON-LD, including simpler and more precise query capabilities as well as API cross-linking. CONCLUSIONS: We believe that this pattern offers a generalizable solution for interoperability of APIs in the life sciences. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-018-2041-5) contains supplementary material, which is available to authorized users.