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Big Semantic Data Processing in the Life Sciences Domain

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Biomedical linked data; Healthcare Ontologies; Machine learning for health and life sciences

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Big semantic data processing in the life sciences deals with a set of graph-based techniques and methods used to integrate or analyze empirical evidence obtained in the course of life sciences or biomedical research.

Overview

The twofold ambition behind biomedical research and development is to either create new knowledge or apply it for treatment and prevention of disease. In life sciences, much of the research is dedicated toward understanding living systems – not just for the sake of knowledge but also to harness and control them. The promise hidden in big biomedical data processing is its potential to accelerate those efforts with predictive analytics informed by empirical results.

The mutability and adaptability inherent in all living things means that medical success requires a deep understanding of genomics: knowing how the flu virus evolves helps devise vaccines to...

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  • DOI: 10.1007/978-3-319-77525-8_315
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Big Semantic Data Processing in the Life Sciences Domain, Fig. 1

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Correspondence to Helena F. Deus .

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Deus, H.F. (2019). Big Semantic Data Processing in the Life Sciences Domain. In: Sakr, S., Zomaya, A.Y. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-77525-8_315

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