Scientific Lenses to Support Multiple Views over Linked Chemistry Data

Colin Batchelor, Christian Y. A. Brenninkmeijer, Christine Chichester, Mark Davies, Daniela Digles, Ian Dunlop, Chris T. Evelo, Anna Gaulton, Carole Goble, Alasdair J. G. Gray, Paul Groth, Lee Harland, Karen Karapetyan, Antonis Loizou, John P. Overington, Steve Pettifer, Jon Steele, Robert Stevens, Valery Tkachenko, Andra Waagmeester, Antony Williams, Egon L. Willighagen
  • January 2014, Springer Science + Business Media
  • DOI: 10.1007/978-3-319-11964-9_7

Solution for expression when biological objects are the same

What is it about?

A big problem in science is how to accurately represent knowledge. One issue is how to say that two things study objects are the same. The problem here is that it depends on the question we ask, whether two objects should be considered the same. Using just names for those objects is popular, but insufficient. This paper describes a powerful solution that allows scientists to express in detail when two things are considered the same.

Why is it important?

By formalizing the description of when two things are the same, this research provides a solution needed for accurate data integration in the sciences. While the applications here are in the domain of the life sciences, they are generally applicable to any field of scholarly research.

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The following have contributed to this page: Dr Antony John Williams and Dr Egon Willighagen