Semantic search architecture for retrieving information in biodiversity repositories
The amount of biological data available electronically is increasing at a rapid rate; for instance, over 16.500 specimens are available today in the National Institute for Amazonian Research (INPA) collections. However, this data is not semantically categorized and stored and thus is difficult to se...
| Autor principal: | Amanqui, Flor K. |
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| Outros Autores: | Serique, Kleberson J.A., Lamping, Franco, Albuquerque, Andréa Corrêa Flôres, dos Santos, José Laurindo Campos, Moreira, Dilvan de Abreu |
| Grau: | Trabalho Apresentado em Evento |
| Idioma: | English |
| Publicado em: |
CEUR Workshop Proceedings
2020
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| Acesso em linha: |
https://repositorio.inpa.gov.br/handle/1/20017 |
| Resumo: |
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The amount of biological data available electronically is increasing at a rapid rate; for instance, over 16.500 specimens are available today in the National Institute for Amazonian Research (INPA) collections. However, this data is not semantically categorized and stored and thus is difficult to search. To tackle this problem, we present a semantic search architecture, implemented using state of the art semantic web tools, and test it on a set of representative data about biodiversity from INPA. This paper describes how the mechanism of mapping is designed so that the semantic search can find information, based on ontologies. We show a series of SPARQL queries and explain how the mapping mechanism works. Our experiments, using a prototype of the proposed architecture, showed that the prototype had better precision and recall then traditional keyword based search engines. |