Semantic Framework for Big Data in Chemoinformatics

Jungkee, Kim (2019) Semantic Framework for Big Data in Chemoinformatics. In: 8th International Conference on Advances in Computing, Electronics and Communication - ACEC, 12 -13 January 2019, Kuala Lumpur, Malaysia.

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In recent years, the new data sources for chemical compounds, proteins, and genes have been widely spread. However, the sources are commonly isolated and cannot be connected each other. The relationships between the data sources and connections produce a semantic integration. The integration between chemical data resources and life science information provides a better chance to understand some aspect of small molecules in biological systems. In this paper, we review the existing researches on Resource Description Framework technologies in life sciences and propose to apply a big data framework to process big data for such technologies.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Big Data, RDF, Chemoinformatics, Semantic Network
Depositing User: Mr. John Steve
Date Deposited: 06 Mar 2019 07:33
Last Modified: 06 Mar 2019 07:38

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