ZÁRATE Marcos Daniel
BiGe-Onto: An Ontology-Based System for Managing Biodiversity and Biogeography Data
MARCOS ZÁRATE; GERMÁN BRAUN; PABLO FILLOTTRANI; CLAUDIO DELRIEUX; MIRTHA LEWIS
Great progress to digitize the world's available Biodiversity and Biogeography data have been made recently, but managing data from many different providers, and across 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.