Title :
OntoBio: A Biodiversity Domain Ontology for Amazonian Biological Collected Objects
Author :
Albuquerque, Andrea C. F. ; Campos dos Santos, Jose L. ; De Castro, Alberto N.
Author_Institution :
Fed. Univ. of Amazonas, Manaus, Brazil
Abstract :
The use of ontology presents a novel data integration resource, when centred in semantic definitions and the need for interoperability. Results from previews works indicate that ontologies can drive knowledge acquisition processes for the purpose of comprehensive, transportable machine understanding and knowledge management. Applied to the biodiversity domain, ontologies can be a valuable resource for strategic planning and its contribution toward conservation of the Amazon region. This work presents a biodiversity domain ontology developed at the National Institute for Amazonian Research (INPA) using biological data as its object of study.
Keywords :
biology computing; knowledge acquisition; ontologies (artificial intelligence); Amazonian biological collected object; INPA; National Institute for Amazonian Research; Ontobio; biodiversity domain ontology; data integration resource; knowledge acquisition; knowledge management; strategic planning; Biodiversity; Bioinformatics; Biological system modeling; Computational modeling; Ontologies; Unified modeling language; Biodiversity systems; Data integration; Formal ontology;
Conference_Titel :
System Sciences (HICSS), 2015 48th Hawaii International Conference on
Conference_Location :
Kauai, HI
DOI :
10.1109/HICSS.2015.453
