Elicitation process and knowledge structuring: A conceptual framework for biodiversity
OntoBio is a formal ontology based on biodiversity concepts and applied for data integration and automatic system interoperability. Despite having reached a consistent stage of maturity, part of the experts' knowledge is still not represented in the ontology, and is thus lost. The knowledge (implici...
| Autor principal: | Albuquerque, Andréa Corrêa Flôres |
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| Outros Autores: | dos Santos, José Laurindo Campos, Castro, Alberto Nogueira de |
| Grau: | Trabalho Apresentado em Evento |
| Idioma: | English |
| Publicado em: |
Proceedings - 14th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence, MICAI 2015
2020
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| Acesso em linha: |
https://repositorio.inpa.gov.br/handle/1/20024 |
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oai:repositorio:1-20024 |
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oai:repositorio:1-20024 Elicitation process and knowledge structuring: A conceptual framework for biodiversity Albuquerque, Andréa Corrêa Flôres dos Santos, José Laurindo Campos Castro, Alberto Nogueira de Artificial Intelligence Biodiversity Interoperability Knowledge Acquisition Knowledge Representation Semantics Automatic Systems Conceptual Frameworks Domain Ontologies Implicit-explicit Knowledge Structuring Research Interests Scientific Knowledge Tacit Knowledge Data Integration OntoBio is a formal ontology based on biodiversity concepts and applied for data integration and automatic system interoperability. Despite having reached a consistent stage of maturity, part of the experts' knowledge is still not represented in the ontology, and is thus lost. The knowledge (implicit-explicit) when modelled and made available on the Web, becomes essential in the process of generating of new knowledge. In this scope, questions are still open and research interests involve the representation of tacit knowledge, modelling and formalization. This work proposes a tacit knowledge formalization method to incorporate semantics and expressiveness in formal ontologies to support the generation of scientific knowledge. © 2015 IEEE. 2020-06-16T17:31:44Z 2020-06-16T17:31:44Z 2016 Trabalho Apresentado em Evento https://repositorio.inpa.gov.br/handle/1/20024 10.1109/MICAI.2015.17 en Pags. 67-72 Restrito Proceedings - 14th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence, MICAI 2015 |
| institution |
Instituto Nacional de Pesquisas da Amazônia - Repositório Institucional |
| collection |
INPA-RI |
| language |
English |
| topic |
Artificial Intelligence Biodiversity Interoperability Knowledge Acquisition Knowledge Representation Semantics Automatic Systems Conceptual Frameworks Domain Ontologies Implicit-explicit Knowledge Structuring Research Interests Scientific Knowledge Tacit Knowledge Data Integration |
| spellingShingle |
Artificial Intelligence Biodiversity Interoperability Knowledge Acquisition Knowledge Representation Semantics Automatic Systems Conceptual Frameworks Domain Ontologies Implicit-explicit Knowledge Structuring Research Interests Scientific Knowledge Tacit Knowledge Data Integration Albuquerque, Andréa Corrêa Flôres Elicitation process and knowledge structuring: A conceptual framework for biodiversity |
| topic_facet |
Artificial Intelligence Biodiversity Interoperability Knowledge Acquisition Knowledge Representation Semantics Automatic Systems Conceptual Frameworks Domain Ontologies Implicit-explicit Knowledge Structuring Research Interests Scientific Knowledge Tacit Knowledge Data Integration |
| description |
OntoBio is a formal ontology based on biodiversity concepts and applied for data integration and automatic system interoperability. Despite having reached a consistent stage of maturity, part of the experts' knowledge is still not represented in the ontology, and is thus lost. The knowledge (implicit-explicit) when modelled and made available on the Web, becomes essential in the process of generating of new knowledge. In this scope, questions are still open and research interests involve the representation of tacit knowledge, modelling and formalization. This work proposes a tacit knowledge formalization method to incorporate semantics and expressiveness in formal ontologies to support the generation of scientific knowledge. © 2015 IEEE. |
| format |
Trabalho Apresentado em Evento |
| author |
Albuquerque, Andréa Corrêa Flôres |
| author2 |
dos Santos, José Laurindo Campos Castro, Alberto Nogueira de |
| author2Str |
dos Santos, José Laurindo Campos Castro, Alberto Nogueira de |
| title |
Elicitation process and knowledge structuring: A conceptual framework for biodiversity |
| title_short |
Elicitation process and knowledge structuring: A conceptual framework for biodiversity |
| title_full |
Elicitation process and knowledge structuring: A conceptual framework for biodiversity |
| title_fullStr |
Elicitation process and knowledge structuring: A conceptual framework for biodiversity |
| title_full_unstemmed |
Elicitation process and knowledge structuring: A conceptual framework for biodiversity |
| title_sort |
elicitation process and knowledge structuring: a conceptual framework for biodiversity |
| publisher |
Proceedings - 14th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence, MICAI 2015 |
| publishDate |
2020 |
| url |
https://repositorio.inpa.gov.br/handle/1/20024 |
| _version_ |
1787144364964708352 |
| score |
11.755432 |