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Publications

Publications by Marco Amaro Oliveira

2016

Efficient Delivery of Forecasts to a Nautical Sports Mobile Application with Semantic Data Services

Authors
Amorim, RC; Rocha, A; Oliveira, MA; Ribeiro, C;

Publication
Proceedings of the Ninth International C* Conference on Computer Science & Software Engineering, C3S2E '16, Porto, Portugal, July 20-22, 2016

Abstract
Weather and sea-related forecasts provide crucial insights for the practice of nautical sports such as surf and kite surf, and mobile devices are appropriate interfaces for the visualization of meteorology and operational oceanography data. Data are collected and processed by several agencies and are often obtained from forecast models. Their use requires adaptation and refinement prior to visualisation. We describe a set of semantic data services using standard common vocabularies and interoperable interfaces following the recommendations of the INSPIRE directive. NautiCast, a mobile application for forecast delivery illustrates the adaptation of data at two levels: 1) semantic, with the integration of data from different sources via standard vocabularies, and 2) syntactic, with the manipulation of the spacial and temporal resolution of data to get effective mobile communication. Copyright 2016 ACM.

2014

Improvements to Efficient Retrieval of Very Large Temporal Datasets with the TravelLight Method

Authors
de Carvalho, AV; Oliveira, MA; Rocha, A;

Publication
PROCEEDINGS OF THE 2014 9TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI 2014)

Abstract
A considerable number of domains deal with large and complex volumes of temporal data. The management of these volumes, from capture, storage, search, transfer, analysis and visualization, still provides interesting challenges. One critical task is the efficient retrieval of data (raw data or intermediate results from analytic tools). Previous work proposed the TravelLight method which reduced the turnaround time and improved interactive retrieval of data from large temporal datasets by exploring the temporal consistency of records in a database. In this work we propose improvements to the method by adopting a new paradigm focused in the management of time intervals instead of solely in data items. A major advantage of this paradigm shift is to enable the separation of the method implementation from any particular temporal data source, as it is autonomous and efficient in the management of retrieved data. Our work demonstrates that the overheads introduced by the new paradigm are smaller than prior overall overheads, further reducing the turnaround time. Reported results concern experiments with a temporally linear navigation across two datasets of one million items. With the obtained results it is possible to conclude that the improvements presented in this work further reduce turnaround time thus enhancing the response of interactive tasks over very large temporal datasets.

2013

Retrieval of Very Large Temporal Datasets for Interactive Tasks

Authors
de Carvalho, AV; Oliveira, MA; Rocha, A;

Publication
PROCEEDINGS OF THE 2013 8TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI 2013)

Abstract
Many tasks dealing with temporal data, such as interactive browse through temporal datasets, require intensive retrieval from the database. Depending on the user's task, the data retrieved may be too large to fit in the local memory. Even if it fits, the time taken to retrieve the data may compromise user interaction. This work proposes a method, TravelLight, which improves interactive traveling across very large temporal datasets by exploring the temporal consistency of data items. The proposed method consists of two algorithms: the data retrieval and the memory management algorithm, both contributing to improve memory usage and, most important, to reduce the turnaround time. Results are reported concerning experiments with a temporally linear navigation across two datasets of one million items, which differ in the average time span of items. With the obtained results it is possible to conclude that the proposed method reduces turnaround time thus enhancing the response of interactive tasks over very large temporal datasets.

2003

SINUP:Using GIS to support e-Democracy

Authors
Alexandre Valle de Carvalho; Artur Jorge da Silva Rocha; Marco Aurélio Amaro Oliveira

Publication
DEXA2003/EGOV2003 - DEXA2003/eGOV2003, Praga, Republica Checa

Abstract

2005

Interoperable Geographic Information Services to Support Crisis Management

Authors
Artur Jorge da Silva Rocha; Bojan Cestnik; Marco Aurélio Amaro Oliveira

Publication
LNCS - Lecture Notes in Computer Science, vol.3833, no.2005, pp.246-255

Abstract

2012

RAIA Observatory: Visualization of Oceanographic Data under INSPIRE Directive

Authors
B Vila; A. Gómez; C. Cortizas; P. Díaz; M. Hermida; Marco Amaro Oliveira; Artur Rocha; X. Méndez

Publication
Jornadas de Engenharia Hi - Jornadas de Engenharia Hidrográfica, Lisboa, Portugal

Abstract

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