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

fYear

2015

fDate

5-8 Jan. 2015

Firstpage

3770

Lastpage

3779

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;

fLanguage

English

Publisher

ieee

Conference_Titel

System Sciences (HICSS), 2015 48th Hawaii International Conference on

Conference_Location

Kauai, HI

ISSN

1530-1605

Type

conf

DOI

10.1109/HICSS.2015.453

Filename

7070270