Gilberto Zonta Pastorello

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This paper discusses ongoing research on scientific workflows at the Institute of Computing, University of Campinas (IC - UNICAMP) Brazil. Our projects with bio-scientists have led us to develop a scientific workflow infrastructure named WOODSS. This framework has two main objectives in mind: to help scientists to specify and annotate their models and(More)
The advances of multimedia models and tools popularized the access and production of multimedia contents: in this new scenario, there is no longer a clear distinction between authors and end-users of a production. These user-authors often work in a collaborative way. As end-users, they collectively participate in interactive environments, consuming(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(More)
Scientific data continues to grow in volume making the tasks of managing, accessing and sharing such data more challenging. Providing data to scientists via scientific gateways or collaborative portals can aid scientists in achieving these tasks. This paper presents a general data management system that has been built on top of Elgg, an open source social(More)
Scientific research is producing and consuming large volumes of multimedia data at an ever growing rate. Data annotations are used, among others, to provide context information and enhance content management, making it easier to interpret and share data. However, raw multimedia data often needs to go through complex processing steps before it can be(More)
Ecosystems monitoring is essential to properly understand their development and the effects of events, both climatological and anthropological in nature. The amount of data used in these assessments is increasing at very high rates. This is due to increasing availability of sensing systems and the development of new techniques to analyze sensor data. The(More)
Scientific models are increasingly dependent on processing large volumes of streamed sensing data from a wide range of sensors, from ground based to satellite embarked infrareds. The proliferation, variety and ubiquity of those devices have added new dimensions to the problem of data handling in computational models. This raises several issues, one of which(More)
This paper analyzes how interoperability and componentization efforts in the geospatial domain have an underestimated impact on the user perspective, directly 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(More)