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Title: Ontology supported by CLOSi data schemas in the Semantic Web context
Authors: Albuquerque, Andréa Corrêa Flôres
Campos dos Santos, José L.
Keywords: Biodiversity
Data Mining
Environmental Engineering
Semantic Web
Biodiversity Datum
Biological Collections
Closi Schemas
Decision Making Process
Machine Understanding
Online Repositories
Ontology Engineering
Semantic Data Extractions
Information Technology
Issue Date: 2005
Publisher: ITEE 2005 - 2nd International ICSC Symposium on Information Technologies in Environmental Engineering, Proceedings
metadata.dc.relation.ispartof: Pags. 695-710
Abstract: The Semantic Web relies heavily on the formal ontology that structure underlying data for the purpose of comprehensive and portable machine understanding. Therefore, the success of the Semantic Web depends strongly on the proliferation of ontology, which requires fast and easy ontology engineering and the avoidance of critical knowledge acquisition problems. The Gartner Group, the market research company, identified ontology as one of the top 10 technologies forecasted for 2005. Parallel to that, there are a growing amount of available biodiversity data that are stored in online repositories and constitute the base for decision-making process aiming conservation and sustainability. This paper presents the use of the Clustered Object Schema for INPA's Biodiversity Data Collections (CLOSi) to support ontology descriptions, aiming to improve the process of semantic data extraction in the Web.
Appears in Collections:Trabalhos Apresentados em Evento

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