Institute of Electronics and Informatics Engineering of Aveiro

Publicações

Towards the automatic selection of moving regions representation methods

Publication . Costa, Rogério Luís C.; Miranda, Enrico; Moreira, José

Moving region is an abstraction used to represent the spatio-temporal behavior of real-world phenomena in database systems. The most common approach to model moving regions uses geometries to represent their position and shape at different times (observations), and interpolation functions to generate the evolution of the geometries between observations. Several region interpolation methods have been proposed in the databases literature, but as there is no suitable method for all use cases, users must select the most adequate algorithm to represent each region by visual inspection. This can be infeasible when dealing with large datasets. This paper presents the first steps towards a system that suggests which methods (and configurations) can generate representations fitting the requirements of a particular application. It includes an abstract specification of user-defined rules on the spatio-temporal evolution of moving regions to assess the suitability of region interpolation functions, a discussion on optimization strategies for efficient implementation of the rules and illustrative examples using real-world data to show how to use this approach to select the best methods to represent a spatio-temporal phenomena.

2020-11Comunicação em conferência

Acesso aberto

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EasyBDI: Near Real-Time Data Analytics over Heterogeneous Data Sources

Publication . Silva, Bruno; Moreira, José; Costa, Rogério Luís de C.

The large volume of currently available data creates several opportunities for sciences and industry, especially with the application of data analytics. But also raises challenges that make unfeasible the use of batch-based ETL processes. Indeed, near real-time data analytics is a requirement in several domains as an alternative to traditional data warehouses. In the last years, big data platforms have been developed to enable query execution over distributed data sources. However, they do not deal with subject-oriented analysis, do not provide data distribution transparency, or do not assist with schema mapping and integration. In this demonstration, we present EasyBDI. It's a near real-time big data analytics prototype that enables users to run queries over heterogeneous data sources based on global logical abstractions created by the system and provides some usual concepts of data warehouse systems, like facts and dimensions. We use two motivating scenarios, one based on three years of real data on photovoltaic energy production and consumption, and the other based on the SSB+ benchmark. We will also present implementation challenges, issues, solutions, and insights.

2021Comunicação em conferência

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Palavras-chave

Intelligent Robotics,Biomedical Informatics,Information Technologies,Healthcare Technologies, Exact sciences ,Exact sciences/Computer and information sciences

Entidade financiadora

Fundação para a Ciência e a Tecnologia, I.P.
Fundação para a Ciência e a Tecnologia, I.P.

Programa de financiamento

6817 - DCRRNI ID
Financiamento do Plano de Reestruturação de Unidades de I&D - 2013/2015 - OE

Número da atribuição

UID/CEC/00127/2013