Carlos Henrique Fonseca

Idiomas

Produções bibliográficas

• FONSECA, C. H. ; WANNER, E. F. . A Quadratic Approximation-Based Local Search Operator for Handling Equality Constraints in Mono-objective Optimization Problems. In: 2016 IEEE Congress on Evolutionary Computation, 2016, Vancouver. Proceedings of 2016 IEEE Congress on Evolutionary Computation, 2016.

• FONSECA, C. H. ; MARTINS, F. V. C. ; WANNER, E. F. . Uma abordagem híbrida para resolver problemas com duas restrições não lineares de igualdade. In: XLVII Simpósio Brasileiro de Pesquisa Opracional, 2015, Porto de Galinhas. Anais do Simpósio Brasileiro de Pesquisa Operacional, 2015.

Projetos de pesquisa

• 2012 - 2012

  Lightweight Ontology-Based Tools for Managing Observational Data, Descrição: We describe recent ontology and annotation editing capabilities to a specialized data management system for observational data. The system supports observations and measurements explicitly, allowing users to upload observational data sets as well as semantically describe and query data sets using formal OWLDL ontologies. Recent extensions allow users to extend observational ontologies with domain-specific terms as well as provide detailed semantic annotations using a ?markdown?-based approach. In addition, we describe a new implementation of the system using standard semantic web technologies for managing OWL-DL ontologies and RDF triples. Our approach supports a wide variety of observational data, and is especially targeted at helping scientists manage heterogeneous biodiversity and ecological data by allowing access to data through a common and generic observations and measurements data model.. , Situação: Concluído; Natureza: Pesquisa. , Alunos envolvidos: Graduação: (8) . , Integrantes: Carlos Henrique Fonseca - Integrante / Riley Englin - Integrante / Paul Jewell - Integrante / Lauren Joplin - Integrante / Patrick Mosca - Integrante / Tyler Pacheco - Integrante / Jacob Troxel - Integrante / Tyler Weeks - Integrante / Shawn Bowers - Coordenador., Financiador(es): National Science Foundation - Bolsa.