Linked Life Data

17011833

Source:http://linkedlifedata.com/resource/pubmed/id/17011833

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2007-5-16
pubmed:abstractText
This paper describes a frame-based integration of the three GO subontologies, the Chemical Entities of Biological Interest ontology, and the Cell Type Ontology in which relationships are modeled in a way that better captures the semantics between biological concepts represented by the terms, rather than between the terms themselves, than previous frame-based efforts. We also describe a methodology for creating suggested enriching assertions by identifying patterns in GO terms, mapping these patterns to new, specific relationships, and matching term substrings to concepts. Using this methodology, a predicted assertion was made for 62% of GO terms that matched one of 31 patterns, and 97% of these predicted assertions were assessed to be valid, resulting in an initial set of over 4000 assertions. Furthermore, this methodology programmatically integrates assertions into an ontology such that each assertion is fully consistent with respect to higher (i.e., more general) relevant class and slot levels.
pubmed:grant
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
1532-0480
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
40
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
300-15
pubmed:dateRevised
2011-5-23
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Enrichment of OBO ontologies.
pubmed:affiliation
University of Colorado at Denver and Health Sciences Center, Department of Pharmacology, MS 8303, RC-1 South, 12801 East 17th Avenue, L18-6101, P.O. Box 6511, Aurora, CO 80045, USA. mike.bada@uchsc.edu
pubmed:publicationType
Journal Article