An effective biomedical data migration tool from resource description framework to JSON.

Clicks: 253
ID: 41988
2019
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Ranked #29 of 66 articles by views in Database : the journal of biological databases and curation

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Abstract
Resource Description Framework (RDF) is widely used for representing biomedical data in practical applications. With the increases of RDF-based applications, there is an emerging requirement of novel architectures to provide effective supports for the future RDF data explosion. Inspired by the success of the new designs in National Center for Biotechnology Information dbSNP (The Single Nucleotide Polymorphism Database) for managing the increasing data volumes using JSON (JavaScript Object Notation), in this paper we present an effective mapping tool that allows data migrations from RDF to JSON for supporting future massive data explosions and releases. We firstly introduce a set of mapping rules, which transform an RDF format into the JSON format, and then present the corresponding transformation algorithm. On this basis, we develop an effective and user-friendly tool called RDF2JSON, which enables automating the process of RDF data extractions and the corresponding JSON data generations.
Reference Key
liu2019andatabase Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Liu, Jian;Yang, Mo;Zhang, Lei;Zhou, Weijun;
Journal Database : the journal of biological databases and curation
Year 2019
DOI
baz088
URL
Keywords Keywords not found

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