DocumentCode
2831485
Title
A Strategy for Biodiversity Knowledge Acquisition Based on Domain Ontology
Author
Albuquerque, A.C.F. ; Santos, J. L Campos dos ; De Magalhaes Netto, Jose Francisco
Author_Institution
DCC/PPGI, Univ. Fed. do Amazonas, Manaus, Brazil
fYear
2009
fDate
Nov. 30 2009-Dec. 2 2009
Firstpage
1143
Lastpage
1148
Abstract
Convention on biological diversity (CBD) recognizes that biodiversity loss must be reduced to promote poverty alleviation and direct benefit of all live on Earth. To achieve that, we must consider robust strategies and action plans based on knowledge and state of art technology. Parallel to that, research is underway in universities and scientific organization aiming to develop semantic Web as an additional resource associated to formal ontology and the avoidance of knowledge acquisition problems such as expertise dependence, tacit knowledge, experts´ availability and ideal time importance. Ontology can structure knowledge acquisition process for the purpose of comprehensive, portable machine understanding and knowledge extraction on the semantic Web environment. These technologies applied to biodiversity domain can be a valuable resource for CBD. The paper presents a strategy for biodiversity knowledge acquisition based on a negotiation protocol which uses domain ontology to extract knowledge from data sources in the semantic Web domain.
Keywords
biology computing; knowledge acquisition; ontologies (artificial intelligence); semantic Web; biodiversity domain; biodiversity knowledge acquisition; biological diversity; domain ontology; knowledge extraction; negotiation protocol; semantic Web; Art; Availability; Biodiversity; Data mining; Earth; Educational institutions; Knowledge acquisition; Ontologies; Robustness; Semantic Web; Biodiversity; Knowledge Acquisition; Ontology; Semantic Web;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems Design and Applications, 2009. ISDA '09. Ninth International Conference on
Conference_Location
Pisa
Print_ISBN
978-1-4244-4735-0
Electronic_ISBN
978-0-7695-3872-3
Type
conf
DOI
10.1109/ISDA.2009.87
Filename
5364153
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