BiGe-Onto: An ontology-based system for managing biodiversity and biogeography data1
Autor: | Claudio Delrieux, Pablo Rubén Fillottrani, Germán Braun, Marcos Zàrate, Mirtha Noemi Lewis |
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Rok vydání: | 2020 |
Předmět: |
0106 biological sciences
0303 health sciences Linguistics and Language General Computer Science Computer science Biogeography Biodiversity Ontology (information science) 010603 evolutionary biology 01 natural sciences Data science Language and Linguistics 03 medical and health sciences 030304 developmental biology |
Zdroj: | Applied Ontology. 15:411-437 |
ISSN: | 1875-8533 1570-5838 |
Popis: | Great progress to digitize the world’s available Biodiversity and Biogeography data have been made recently, but managing data from many different providers and research domains still remains a challenge. A review of the current landscape of metadata standards and ontologies in Biodiversity sciences suggests that existing standards, such as the Darwin Core terminology, are inadequate for describing Biodiversity data in a semantically meaningful and computationally useful way. As a contribution to fill this gap, we present an ontology-based system, called BiGe-Onto, designed to manage data together from Biodiversity and Biogeography. As data sources, we use two internationally recognized repositories: the Global Biodiversity Information Facility (GBIF) and the Ocean Biogeographic Information System (OBIS). BiGe-Onto system is composed of (i) BiGe-Onto Architecture (ii) a conceptual model called BiGe-Onto specified in OntoUML, (iii) an operational version of BiGe-Onto encoded in OWL 2, and (iv) an integrated dataset for its exploitation through a SPARQL endpoint. We will show use cases that allow researchers to answer questions that manage information from both domains. |
Databáze: | OpenAIRE |
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