Ontology-based knowledge representation of experiment metadata in biological data mining

Richard H. Scheuermann, Megan Kong, Carl Dahlke, Jennifer Cai, Jamie Lee, Yu Qian, Burke Squires, Patrick Dunn, Jeff Wiser, Herb Hagler, Barry Smith, David R Karp

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations

Abstract

The advance of science depends on the ability to build upon information gathered and ideas formulated through prior investigator-driven research and observation. Traditionally, the output of the international research enterprise has been reported in print format-scientific journal articles and books. The intended audiences for these scientific reports are other scientists who carefully read through the text in order to understand the rationale behind the arguments and experimental designs and thereby to gauge the merits of results obtained in addressing the proposed hypothesis. This approach has worked well thus far; it worked well during the advent of molecular biology, when many of the fundamental principles in biology were defined.

Original languageEnglish (US)
Title of host publicationBiological Data Mining
PublisherCRC Press
Pages529-559
Number of pages31
ISBN (Electronic)9781420086850
ISBN (Print)9781420086843
StatePublished - Jan 1 2009

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ASJC Scopus subject areas

  • Computer Science(all)
  • Agricultural and Biological Sciences(all)
  • Biochemistry, Genetics and Molecular Biology(all)

Cite this

Scheuermann, R. H., Kong, M., Dahlke, C., Cai, J., Lee, J., Qian, Y., Squires, B., Dunn, P., Wiser, J., Hagler, H., Smith, B., & Karp, D. R. (2009). Ontology-based knowledge representation of experiment metadata in biological data mining. In Biological Data Mining (pp. 529-559). CRC Press.