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PubMed · 17094238

BioDash: a Semantic Web dashboard for drug development.

Eric K Neumann·Dennis Quan
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Abstract

A researcher's current scientific understanding is assembled from multiple sources of facts and knowledge, along with beliefs and hypotheses of their interpretations. A comprehensive and structured aggregation of all the relevant components is to-date not possible using standard database technologies, nor is it obvious how to include beliefs, such as models and hypotheses into such a bundle. When such information is required as the basis for important decision-making (e.g., in drug discovery), scientists often resort to using commercial presentation applications. This is sub-optimal for the effective use of knowledge, and alternatives that support the inclusion of meaning are urgently needed. This paper describes a prototype Semantic Web application, BioDash, which attempts to aggregate heterogeneous yet related facts and statements (using an RDF model) into an intuitive, visually descriptive and interactive display.

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Computational BiologyComputer SimulationComputer-Aided DesignDrug DesignInternetPolymorphism, Single NucleotideSemanticsSignal TransductionJournal Article

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Eric K Neumann, Dennis Quan. 2006. BioDash: a Semantic Web dashboard for drug development.. https://pubmed.ncbi.nlm.nih.gov/17094238/

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