Konferenzbeitrag
Biological Ontology Modeling Supported by CLOSi Database Schemas for Amazon Data Extraction
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Datum
2005
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Masaryk University Brno
Zusammenfassung
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.