Rodrigo Senra

Universidade Estadual de Campinas, Institute of Computing, Alumnus

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To get in contact use rsenra <_at_> acm dot org
Supervisors: Claudia Bauzer Medeiros
Address: http://rodrigo.senra.nom.br

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W.r. Singh

Eduardo A Speranza

EMBRAPA - Empresa Brasileira de Pesquisa Agropecuária

Noemi Guindin-Garcia

Basile AKPOVI

Nanjing University of Information Science and Technology

John Lyon

Liangyun Liu

Instite Of Remote Sensing And Digital Earth

Dyah Panuju

Bogor Agriculture University

Lachezar Filchev

Bulgarian Academy of Sciences

Valentin S KAZANDJIEV

National Institute of Meteorology and Hydrology in Bulgarian Academy of Sciences

GHEORGHE STANCALIE

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Papers by Rodrigo Senra

SciFrame: a conceptual framework to describe data sharing in e-Science

The first SBC Challenge aims to provide solutions to the problem of managing large volumes of mul... more The first SBC Challenge aims to provide solutions to the problem of managing large volumes of multimedia data. Our goal is to contribute towards research in these directions by discussing the problems involved in sharing scientific digital information. First, we propose a conceptual framework (SciFrame) that helps to understand the main issues involved and to integrate related research efforts. Second, we use a real case study to point out problems which are particular to scientific data management. Finally, we describe our case study using SciFrame.

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A standards-based framework to foster geospatial data and process interoperability

Journal of The Brazilian Computer Society, 2009

The quest for interoperability is one of the main driving forces behind international organizatio... more The quest for interoperability is one of the main driving forces behind international organizations such as OGC and W3C. In parallel, a trend in systems design and development is to break down GIS functionalities into modules that can be composed in an ad hoc manner. This component-driven approach increases flexibility and extensibility. For scientists whose research involves geospatial analysis, however, such initiatives mean more than interoperability and flexibility. These efforts are progressively shielding these users from having to deal with problems such as data representation formats, communication protocols or pre-processing algorithms. Once scientists are allowed to abstract from lower level concerns, they can shift their focus to the design and implementation of the computational models they are interested in. This paper analyzes how interoperability and componentization efforts have this underestimated impact on the design and development perspective. This discussion is illustrated by the description of the design and implementation of WebMAPS, a geospatial information system to support agricultural planning and monitoring. By taking advantage of new results in the above areas, the experience with WebMAPS presents a road map to leverage system design and development by the seamless composition of distributed data sources and processing solutions.

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A standards-based framework to foster geospatial data and process interoperability

Journal of The Brazilian Computer Society, 2009

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Database Descriptors: Laying the Path to Commodity Web Data Services

The growth of the Internet has dramatically changed the way information is accessed and managed. ... more The growth of the Internet has dramatically changed the way information is accessed and managed. The Web contains an ever growing amount of distributed, semistructured and uncontrolled data. In this new context, we should rethink how applications couple with DBMSs. Corporate intranets allowed a tiered coupling between applications and databases. However, that model is still too constrained, and unable to accommodate the hostility, unsafety and fast pace of the Web environment.

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Bridging the gap between geospatial resource providers and model developers

In geographic information science, interoperability is a key issue, given the wide diversity of a... more In geographic information science, interoperability is a key issue, given the wide diversity of available geospatial data and of scientific data processing tools. There are many research initiatives to meet this challenge, e.g., in data interchange standards, service-oriented architectures (SOA), knowledge representation paradigms and user interface design. In parallel, a trend in systems design and development is to break down GIS functionalities into modules that can be composed in an ad hoc manner. This component-driven approach increases flexibility and extensibility. For scientists whose research requires geospatial analysis, however, all these efforts mean more than interoperability and flexibility. They are progressively shielding these users from having to deal with problems such as data representation formats, communication protocols or pre-processing algorithms. Once these scientists are allowed to abstract from these lower level concerns, they can shift their focus to the design and implementation of the models they are interested in. This paper analyzes how interoperability and componentization efforts have this underestimated impact on the user perspective, thereby affecting model development. This discussion is illustrated by the description of the design and implementation of WebMAPS, a geospatial information system to support agricultural planning and monitoring. By taking advantage of new results in the above areas, the experience with WebMAPS presents a road map to achieve seamless composition of distributed data sources and processing solutions, and to leverage model development.

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