Saliva Ontology: an ontology-based framework for a Salivaomics Knowledge Base.
BACKGROUND
The Salivaomics Knowledge Base (SKB) is designed to serve as a computational infrastructure that can permit global exploration and utilization of data and information relevant to salivaomics. SKB is created by aligning (1) the saliva biomarker discovery and validation resources at UCLA with (2) the ontology resources developed by the OBO (Open Biomedical Ontologies) Foundry, including a new Saliva Ontology (SALO).


RESULTS
We define the Saliva Ontology (SALO; http://www.skb.ucla.edu/SALO/) as a consensus-based controlled vocabulary of terms and relations dedicated to the salivaomics domain and to saliva-related diagnostics following the principles of the OBO (Open Biomedical Ontologies) Foundry.


CONCLUSIONS
The Saliva Ontology is an ongoing exploratory initiative. The ontology will be used to facilitate salivaomics data retrieval and integration across multiple fields of research together with data analysis and data mining. The ontology will be tested through its ability to serve the annotation ('tagging') of a representative corpus of salivaomics research literature that is to be incorporated into the SKB.
Ai
Jiye
J
University of California at Los Angeles School of Dentistry, University of California, Los Angeles, CA 90095-1668, USA.
Smith
Barry
B
Wong
David T
DT
D015415:Biomarkers / Q000737:chemistry*; D057225:Data Mining / Q000379:methods*; D051188:Knowledge Bases; D012463:Saliva / Q000737:chemistry*; D012660:Semantics; D012984:Software; D018875:Vocabulary, Controlled
D015415:Biomarkers