OntoBio: A Biodiversity Domain Ontology for Amazonian Biological Collected Objects

Abstract

The use of ontology presents a novel data integration resource, when centred in semantic definitions and the need for interoperability. Results from previews works indicate that ontologies can drive knowledge acquisition processes for the purpose of comprehensive, transportable machine understanding and knowledge management. Applied to the biodiversity domain, ontologies can be a valuable resource for strategic planning and its contribution toward conservation of the Amazon region.

UFO: Unified Foundational Ontology

“…agriculture (Neves and Cruvinel, 2021;Niederkofler et al, 2019) accounting (Blums and Weigand, 2021;Fischer-Pauzenberger and Schwaiger, 2017;Fraller, 2019;Laurier et al, 2018) business processes (Guizzardi and Wagner, 2011a;Guizzardi et al, 2016;Santos Júnior et al, 2010; van Wingerde and Weigand, 2020) biodiversity (Albuquerque et al, 2015) bioinformatics (Gonçalves et al, 2011;Rodrigues et al, 2017) branding (Elikan, 2019) communities (Almeida and Guizzardi, 2013) capabilities (Azevedo et al, 2015) competition (Sales et al, 2018c) data processing (Moura et al, 2021) decision making (Guizzardi et al, 2020;Richetti et al, 2019) design science research (Weigand et al, 2021) digital platforms (Derave et al, 2021) discrete event simulation (Guizzardi and Wagner, 2010, 2011b, 2012, 2013 economic exchanges (Porello et al, 2020) emergency and disaster management (Ferreira et al, 2015;Khantong and Ahmad, 2019;Moreira et al, 2015) engineering (Pereira et al, 2019) e-government (Barcelos et al, 2013;Detoni et al, 2018;Křemen and Nečaský, 2019;Pereira et al, 2020) game theory (Amaral et al, 2020c) game design (Franco et al, 2018;Kritz, 2020) goals and motivation (Azeve...…”

“…It has been employed as a basis for analyzing, reengineering, and integrating many modeling languages and standards in different domains (e.g., UML, BPMN, ArchiMate), as well as for the development of core and domain ontologies in different areas. For instance, it has been successfully used to provide conceptual clarification in complex domains such as risk (Sales et al, 2018b), services (Nardi et al, 2015), trust (Amaral et al, 2019), law (Griffo et al, 2015), biodiversity (Albuquerque et al, 2015), design science research (Weigand et al, 2021), among many others (a more comprehensive list is provided in Section 4).…”

e-DIVA: Uma Infraestrutura Computacional para Gestão de Dados do Programa PELD

“…Assim, foi desenvolvida a OntoBio (Albuquerque et al, 2015), uma ontologia formal de biodiversidade desenvolvida no cenário de coleções biológicas e eventos de coleta de campo do INPA, com o propósito de mitigar os problemas oriundos da interoperabilidade dos dados de biodiversidade (heterogeneidade semântica). Esta tecnologia constitui-se em uma ferramenta com funcionalidades de integração e estruturação de biodados, tendo sido modelada com base no conhecimento explícito e consensual sobre biodiversidade, e constitui um importante ponto de partida para a validação da aplicação de ontologias formais à aquisição e gestão de conhecimento de biodiversidade, bem como recurso de estruturação de conhecimento do PELD-DIVA (projeto lógico de bancos de dados de biodiversidade).…”

Lessons from Integrated Biodiversity Information System Implementation Initiatives

“…BIS is very useful to support conservation and research of biodiversity [6]- [8]. Through BIS, many experts, such as biologists, chemists, physicists, geographers, geologists, geneticists, and so forth, can be communicated and exchanged samples and or specimens data to ease them in analyzing data collecting other geographical information [9]- [11].…”