Article
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Intuitive Representation of Computable Knowledge
Version 1
: Received: 20 July 2020 / Approved: 21 July 2020 / Online: 21 July 2020 (12:42:37 CEST)
Version 2 : Received: 29 July 2020 / Approved: 29 July 2020 / Online: 29 July 2020 (17:29:20 CEST)
Version 2 : Received: 29 July 2020 / Approved: 29 July 2020 / Online: 29 July 2020 (17:29:20 CEST)
How to cite: Vercruysse, S.; Kuiper, M. Intuitive Representation of Computable Knowledge. Preprints 2020, 2020070486. https://doi.org/10.20944/preprints202007.0486.v2 Vercruysse, S.; Kuiper, M. Intuitive Representation of Computable Knowledge. Preprints 2020, 2020070486. https://doi.org/10.20944/preprints202007.0486.v2
Abstract
Scientific progress is increasingly dependent on knowledge in computation-ready forms. In the life sciences, among others, many scientists therefore extract and structure knowledge from the literature. In a process called manual curation, they enter knowledge into spreadsheets, or into databases where it serves their and many others' research. Valuable as these curation efforts are, the range and detail of what can practically be captured and shared remains limited, because of the constraints of current curation tools. Many important contextual aspects of observations described in literature simply do not fit in the form defined by these tools, and thus cannot be captured. Here we present the design of an easy-to-use, general-purpose method and interface, that enables the precise semantic capture of virtually unlimited types of information and details, using only a minimal set of building blocks. Scientists from any discipline can use this to convert any complex knowledge into a form that is easily readable and meaningful for both humans and computers. The method VSM forms a universal and high-level language for encoding ideas, and for interacting with digital knowledge.
Supplementary and Associated Material
https://vsm.github.io: VSM project and organization
Keywords
knowledge representation; curation; biocuration; semantics; systems biology; ontology; user interface; VSM
Subject
Computer Science and Mathematics, Information Systems
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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