Nara Martini Bigolin

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The nature of map generalization may be non-uniform along the length of an individual line, requiring the application of methods that adapt to the local geometry and the geographical c o n text. Geographical databases need to be enriched in terms of shape description structures (geometrical k n o wledge), knowledge of appropriate order of operations and of(More)
In this paper, we use context to simplify the translation from system's requirements expressed in natural language to conceptual model (Entity-Relationship Model). This translation is made by a tool called Designer Assistant. The goal of the system is to identify entities, attributes and relationships from requirements expressed in natural language(More)
3 Secretaria da Saúde do Estado do Rio Grande do Sul (SES/RS) – Av. Borges de Medeiros 1501. Abstract. The Geographic Information Systems (GIS) are systems capable to store and to manipulate descriptive data and the spaciality of geographical data. In public health, those systems are ideal to do the vigilance in the worker's health, allowing to identify,(More)
The nature of map generalization may be non-uniform along the length of an individual line, requiring the application of methods that adapt to the local geometry and the geographical context. Geographical databases need to be enriched in terms of shape description structures (geometrical knowledge), knowledge of appropriate order of operations and of(More)
orientado a objetos, que integra e referencia, geograficamente, as bases de dados heterogêneas da Secretaria Estadual de Saúde do Estado do Rio Grande do Sul (SES/RS), que foi implementado em software livre. Abstract: open source software is being increasingly developed in a number of Information Technology areas, including operating systems, traditional(More)
Knowledge Discovery in Spatial Databases (KDSD) is the extraction of interesting spatial patterns and features, general relationships between spatial and non spatial data which are not explicitly stored in spatial databases. Such discovery may play an important role to understanding spatial data, capturing intrinsic relationships between spatial and non(More)
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