BlabKG: a Knowledge Graph for the Blue Amazon

Pedro De Moraes Ligabue, Anarosa Alves Franco Brandao, Sarajane Marques Peres, Fabio Gagliardi Cozman, Paulo Pirozelli

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

The Blue Amazon represents a large area off the coast of Brazil. The region is important for economic reasons, as it holds the majority of Brazil's oil and gas resources, as well as for its biological, geological and environmental features. Not much information about this region, however, is organized in systematic and computer-readable ways. In this context, we built a knowledge graph for the Blue Amazon based on a set of 496 scientific paper abstracts on the subject. The corpus includes a large number of topics, such as biodiversity, natural resources and climate change. Entities and relationships were automatically extracted from text through the use of OpenIE (a relationship triple extraction method) and were combined using word embeddings. The generated knowledge graph was then evaluated by comparing it to the source documents. Results show that key knowledge was correctly extracted, but also that there is still room for improvement, specially when it comes to weeding out undesirable or context-dependent data.

Idioma originalInglés
Título de la publicación alojadaProceedings - 13th IEEE International Conference on Knowledge Graph, ICKG 2022
EditoresPeipei Li, Kui Yu, Nitesh Chawla, Ronen Feldman, Qing Li, Xindong Wu
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas164-171
Número de páginas8
ISBN (versión digital)9781665451017
DOI
EstadoPublicada - 2022
Publicado de forma externa
Evento13th IEEE International Conference on Knowledge Graph, ICKG 2022 - Virtual, Online, Estados Unidos
Duración: 30 nov. 20221 dic. 2022

Serie de la publicación

NombreProceedings - 13th IEEE International Conference on Knowledge Graph, ICKG 2022

Conferencia

Conferencia13th IEEE International Conference on Knowledge Graph, ICKG 2022
País/TerritorioEstados Unidos
CiudadVirtual, Online
Período30/11/221/12/22

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