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
Link To Document :
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