Biological Ontology Modeling Supported by CLOSi Database Schemas for Amazon Data Extraction

dc.contributor.author	Albuquerque, Andréa Corrêa Flôres
dc.contributor.author	Campos dos Santos, José Laurindo
dc.contributor.editor	Hřebíček, J.
dc.contributor.editor	Ráček, J.
dc.date.accessioned	2019-09-16T09:34:37Z
dc.date.available	2019-09-16T09:34:37Z
dc.date.issued	2005
dc.description.abstract	Ontology applied to biodiversity domain is a valuable resource and has contributed for information access and dissemination, at the same time provides a conceptual visualization of documents and increasing information extraction methods of documents. This paper presents CLOSi database schemas to support ontology descriptions, for biological data domain, promoting improvements in the process of semantic data extraction for the Web environment.	de
dc.description.uri	http://enviroinfo.eu/sites/default/files/pdfs/vol111/0085.pdf	de
dc.identifier.uri	https://dl.gi.de/handle/20.500.12116/27335
dc.publisher	Masaryk University Brno
dc.relation.ispartof	Informatics for Environmental Protection - Networking Environmental Information
dc.relation.ispartofseries	EnviroInfo
dc.title	Biological Ontology Modeling Supported by CLOSi Database Schemas for Amazon Data Extraction	de
dc.type	Text/Conference Paper
gi.citation.publisherPlace	Brno
gi.conference.date	2005
gi.conference.location	Brno
gi.conference.sessiontitle	Environmental information systems engineering

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