A strategy for biodiversity knowledge acquisition based on domain ontology
Convention on Biological Diversity (CBD) recognizes that biodiversity loss must be reduced to promote poverty alleviation and direct benefit of all live on Earth. To achieve that, we must consider robust strategies and action plans based on knowledge and state of art technology. Parallel to that, re...
| Autor principal: | Albuquerque, Andréa Corrêa Flôres |
|---|---|
| Outros Autores: | Campos dos Santos, José L., Magalhães Netto, José Francisco de |
| Grau: | Trabalho Apresentado em Evento |
| Idioma: | English |
| Publicado em: |
ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications
2020
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| Acesso em linha: |
https://repositorio.inpa.gov.br/handle/1/20004 |
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oai:repositorio:1-20004 |
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dspace |
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oai:repositorio:1-20004 A strategy for biodiversity knowledge acquisition based on domain ontology Albuquerque, Andréa Corrêa Flôres Campos dos Santos, José L. Magalhães Netto, José Francisco de Action Plan Biodiversity Loss Biological Diversity Data Source Domain Ontologies Formal Ontology Knowledge Extraction Machine Understanding Negotiation Protocol Poverty Alleviation Robust Strategy State-of-art Technology Tacit Knowledge Biodiversity Intelligent Systems Internet Protocols Knowledge Acquisition Multi Agent Systems Ontology Semantics Semantic Web Convention on Biological Diversity (CBD) recognizes that biodiversity loss must be reduced to promote poverty alleviation and direct benefit of all live on Earth. To achieve that, we must consider robust strategies and action plans based on knowledge and state of art technology. Parallel to that, research is underway in universities and scientific organization aiming to develop semantic web as an additional resource associated to formal ontology and the avoidance of knowledge acquisition problems such as expertise dependence, tacit knowledge, experts' availability and ideal time importance. Ontology can structure knowledge acquisition process for the purpose of comprehensive, portable machine understanding and knowledge extraction on the semantic web environment. These technologies applied to biodiversity domain can be a valuable resource for CBD. The paper presents a strategy for biodiversity knowledge acquisition based on a negotiation protocol which uses domain ontology to extract knowledge from data sources in the semantic web domain. © 2009 IEEE. 2020-06-16T17:30:38Z 2020-06-16T17:30:38Z 2009 Trabalho Apresentado em Evento https://repositorio.inpa.gov.br/handle/1/20004 10.1109/ISDA.2009.87 en Pags. 1143-1148 Restrito ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications |
| institution |
Instituto Nacional de Pesquisas da Amazônia - Repositório Institucional |
| collection |
INPA-RI |
| language |
English |
| topic |
Action Plan Biodiversity Loss Biological Diversity Data Source Domain Ontologies Formal Ontology Knowledge Extraction Machine Understanding Negotiation Protocol Poverty Alleviation Robust Strategy State-of-art Technology Tacit Knowledge Biodiversity Intelligent Systems Internet Protocols Knowledge Acquisition Multi Agent Systems Ontology Semantics Semantic Web |
| spellingShingle |
Action Plan Biodiversity Loss Biological Diversity Data Source Domain Ontologies Formal Ontology Knowledge Extraction Machine Understanding Negotiation Protocol Poverty Alleviation Robust Strategy State-of-art Technology Tacit Knowledge Biodiversity Intelligent Systems Internet Protocols Knowledge Acquisition Multi Agent Systems Ontology Semantics Semantic Web Albuquerque, Andréa Corrêa Flôres A strategy for biodiversity knowledge acquisition based on domain ontology |
| topic_facet |
Action Plan Biodiversity Loss Biological Diversity Data Source Domain Ontologies Formal Ontology Knowledge Extraction Machine Understanding Negotiation Protocol Poverty Alleviation Robust Strategy State-of-art Technology Tacit Knowledge Biodiversity Intelligent Systems Internet Protocols Knowledge Acquisition Multi Agent Systems Ontology Semantics Semantic Web |
| description |
Convention on Biological Diversity (CBD) recognizes that biodiversity loss must be reduced to promote poverty alleviation and direct benefit of all live on Earth. To achieve that, we must consider robust strategies and action plans based on knowledge and state of art technology. Parallel to that, research is underway in universities and scientific organization aiming to develop semantic web as an additional resource associated to formal ontology and the avoidance of knowledge acquisition problems such as expertise dependence, tacit knowledge, experts' availability and ideal time importance. Ontology can structure knowledge acquisition process for the purpose of comprehensive, portable machine understanding and knowledge extraction on the semantic web environment. These technologies applied to biodiversity domain can be a valuable resource for CBD. The paper presents a strategy for biodiversity knowledge acquisition based on a negotiation protocol which uses domain ontology to extract knowledge from data sources in the semantic web domain. © 2009 IEEE. |
| format |
Trabalho Apresentado em Evento |
| author |
Albuquerque, Andréa Corrêa Flôres |
| author2 |
Campos dos Santos, José L. Magalhães Netto, José Francisco de |
| author2Str |
Campos dos Santos, José L. Magalhães Netto, José Francisco de |
| title |
A strategy for biodiversity knowledge acquisition based on domain ontology |
| title_short |
A strategy for biodiversity knowledge acquisition based on domain ontology |
| title_full |
A strategy for biodiversity knowledge acquisition based on domain ontology |
| title_fullStr |
A strategy for biodiversity knowledge acquisition based on domain ontology |
| title_full_unstemmed |
A strategy for biodiversity knowledge acquisition based on domain ontology |
| title_sort |
strategy for biodiversity knowledge acquisition based on domain ontology |
| publisher |
ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications |
| publishDate |
2020 |
| url |
https://repositorio.inpa.gov.br/handle/1/20004 |
| _version_ |
1787142120795013120 |
| score |
11.755432 |