Biocomputing 2004 2003
DOI: 10.1142/9789812704856_0021
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The Compositional Structure of Gene Ontology Terms

Abstract: An analysis of the term names in the Gene Ontology reveals the prevalence of substring relations between terms: 65.3% of all GO terms contain another GO term as a proper substring. This substring relation often coincides with a derivational relationship between the terms. For example, the term regulation of cell proliferation (GO:0042127) is derived from the term cell proliferation (GO:0008283) by addition of the phrase regulation of. Further, we note that particular substrings which are not themselves GO term… Show more

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Cited by 55 publications
(52 citation statements)
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“…As Ogren et al [25] have pointed out, almost two-thirds of all GO terms contain other GO terms as substrings, the including term being in many cases derived from the included term via operators such as 'regulation of ' or 'sensu'. Many of the latter recur consistently in certain kinds of subtrees of GO's three ontologies, and in ways which reflect ontologically significant relations between the corresponding classes.…”
Section: Resultsmentioning
confidence: 99%
“…As Ogren et al [25] have pointed out, almost two-thirds of all GO terms contain other GO terms as substrings, the including term being in many cases derived from the included term via operators such as 'regulation of ' or 'sensu'. Many of the latter recur consistently in certain kinds of subtrees of GO's three ontologies, and in ways which reflect ontologically significant relations between the corresponding classes.…”
Section: Resultsmentioning
confidence: 99%
“…The identification of such relationships may also be valuable within an ontology, e.g. in order to improve compositionality [25,32,28,29] or in defining and populating novel relationships. The work reported here is relevant both to the mapping and to the alignment task.…”
Section: Context and Motivationmentioning
confidence: 99%
“…Lexical analysis of an ontology is a powerful tool for suggesting relationships between concepts within the ontology [25,28,29,30,32] or among multiple ontologies [7,6]. However, there are many possible text types to match between (e.g.…”
Section: Introductionmentioning
confidence: 99%
“…However, we can add new axioms based in the label; we can add, for example, the axiom transports only (alanine or sodium) and exploit that axiom in querying and structural maintenance 4 . The large size and repetitive nature of much of this axiomatic enrichment (for example, many term names share a similar syntactic structure [2,3]) mandates the use of some form of transformation language that can be used to define reusable transformations.…”
Section: Introductionmentioning
confidence: 99%