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Improving discovery in the life sciences using semantic Web technologies and linked data: design principles for life sciences knowledge organization systems
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| 49.66 MB | Adobe PDF |
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Resumo(s)
The data deluge in biology resulting from wide adoption of highthroughput
technologies, coupled with the increasing reliance on web
technologies for knowledge organization, sharing and discovery, has
created unprecedented opportunities, and challenges, for knowledge
engineering in Life Sciences domains. The Semantic Web technologies
correspond to a set of standards and best practices for improving data
sharing and interoperability on the Web that can greatly advance research in
data-driven sciences such as translational medicine and systems biology.
Current Semantic Web approaches for addressing those challenges have
either relied on automatically formatting biological data sources as RDF
(Resource Description Framework), the lingua franca of the Semantic Web,
or in the development of bio-{)ntologies. Albeit the significant integrative
advances that those represent, wide adoption of Semantic Web
technologies by the communities acquiring and modeling experimental
biological data has remained suboptimal.(...)
Descrição
Dissertation presented to obtain the Ph.D degree in Bioinformatics
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Editora
Universidade Nova de Lisboa. Instituto de Tecnologia Química e Biológica