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Integração de dados em SIG: uma abordagem por tecnologias de uso livre / GIS data integration: a free software approachNader, Ricardo Saleimen 28 September 2015 (has links)
Foi demonstrada a viabilidade de utilização da biblioteca GDAL/OGR, por meio do seu emprego em processos de conversão sintática entre formatos de dados matriciais e vetoriais controlados, amplamente utilizados nas práticas profissional e de pesquisa em Geografia, Cartografia e Geoprocessamento. Os dados convertidos e processados foram analisados comparativamente em seus parâmetros geométricos, topológicos, alfanuméricos e de referência espacial, de modo a identificar se existiram perdas ou manutenção de informações nesses indicadores. No caso da existência de perdas, foram empregados recursos disponíveis na biblioteca para ajustes nos parâmetros indicados, de modo a tentar retornar ao conteúdo de dados dos arquivos originais. Finalmente, foi apresentada uma metodologia para a superação de desafios de integração de dados geoespaciais em SIG, por meio do emprego de sistemas de uso livre no campo do Geoprocessamento. / It was demonstrated the feasibility of using the GDAL / OGR library, through its usage in syntax conversion processes between raster and vector controlled data formats, widely used in professional practice and research in Geography, Cartography and Geomatics. The translated data were processed and analyzed comparatively in its geometrical, topological, alphanumeric and spatial reference parameters in order to determine if there were any loss or maintenance information on such indicators. In the case of losses, library resources were used into the indicated parameters in order to try to return to the original data files content. Finally, we presented a methodology for overcoming geospatial data integration challenges in GIS, through the use of free softwares in the field.
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Integração de dados em SIG: uma abordagem por tecnologias de uso livre / GIS data integration: a free software approachRicardo Saleimen Nader 28 September 2015 (has links)
Foi demonstrada a viabilidade de utilização da biblioteca GDAL/OGR, por meio do seu emprego em processos de conversão sintática entre formatos de dados matriciais e vetoriais controlados, amplamente utilizados nas práticas profissional e de pesquisa em Geografia, Cartografia e Geoprocessamento. Os dados convertidos e processados foram analisados comparativamente em seus parâmetros geométricos, topológicos, alfanuméricos e de referência espacial, de modo a identificar se existiram perdas ou manutenção de informações nesses indicadores. No caso da existência de perdas, foram empregados recursos disponíveis na biblioteca para ajustes nos parâmetros indicados, de modo a tentar retornar ao conteúdo de dados dos arquivos originais. Finalmente, foi apresentada uma metodologia para a superação de desafios de integração de dados geoespaciais em SIG, por meio do emprego de sistemas de uso livre no campo do Geoprocessamento. / It was demonstrated the feasibility of using the GDAL / OGR library, through its usage in syntax conversion processes between raster and vector controlled data formats, widely used in professional practice and research in Geography, Cartography and Geomatics. The translated data were processed and analyzed comparatively in its geometrical, topological, alphanumeric and spatial reference parameters in order to determine if there were any loss or maintenance information on such indicators. In the case of losses, library resources were used into the indicated parameters in order to try to return to the original data files content. Finally, we presented a methodology for overcoming geospatial data integration challenges in GIS, through the use of free softwares in the field.
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Towards a Conceptual Framework for Persistent Use: A Technical Plan to Achieve Semantic Interoperability within Electronic Health Record SystemsBlackman-Lees, Shellon 01 January 2017 (has links)
Semantic interoperability within the health care sector requires that patient data be fully available and shared without ambiguity across participating health facilities. The need for the current research was based on federal stipulations that required health facilities provide complete and optimal care to patients by allowing full access to their health records. The ongoing discussions to achieve interoperability within the health care industry continue to emphasize the need for healthcare facilities to successfully adopt and implement Electronic Health Record (EHR) systems. Reluctance by the healthcare industry to implement these EHRs for the purpose of achieving interoperability has led to the current research problem where it was determined that there is no existing single data standardization structure that can effectively share and interpret patient data within heterogeneous systems. The current research used the design science research methodology (DSRM) to design and develop a master data standardization and translation (MDST) model that allowed seamless exchange of healthcare data among multiple facilities. To achieve interoperability through a common data standardization structure, where multiple independent data models can coexist, the translation mechanism incorporated the use of the Resource Description Framework (RDF). Using RDF, a universal exchange language, allowed for multiple data models and vocabularies to be easily combined and interrelated within a single environment thereby reducing data definition ambiguity. Based on the results from the research, key functional capabilities to effectively map and translate health data were documented. The research solution addressed two primary issues that impact semantic interoperability – the need for a centralized standards repository and a framework that effectively maps and translates data between various EHRs and vocabularies. Thus, health professionals have a single interpretation of health data across multiple facilities which ensures the integrity and validity of patient care. The research contributed to the field of design science development through the advancements of the underlying theories, phases, and frameworks used in the design and development of data translation models. While the current research focused on the development of a single, common information model, further research opportunities and recommendations could include investigations into the implementation of these types of artifacts within a single environment at a multi-facility hospital entity.
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E-model: event-based graph data model theory and implementationKim, Pilho 06 July 2009 (has links)
The necessity of managing disparate data models is increasing within all IT areas. Emerging hybrid relational-XML systems are under development in this context to support both relational and XML data models. However, there are ever-growing needs for adequate data models for texts and multimedia, which are applications that require proper storage, and their capability to coexist and collaborate with other data models is as important as that of a relational-XML hybrid model. This work proposes a new data model named E-model that supports rich relations and reflects the dynamic nature of information. This E-model introduces abstract data typing objects and rules of relation that support: (1) the notion of time in object definition and relation, (2) multiple-type relations, (3) complex schema modeling methods using a relational directed acyclic graph, and (4) interoperation with popular data models. To implement the E-model prototype, extensive data operation APIs have been developed on top of relational databases. In processing dynamic queries, our prototype achieves an order of magnitude improvement in speed compared with popular data models. Based on extensive E-model APIs, a new language named EML is proposed. EML extends the SQL-89 standard with various E-model features: (1) unstructured queries, (2) unified object namespaces, (3) temporal queries, (4) ranking orders, (5) path queries, and (6) semantic expansions. The E-model system can interoperate with popular data models with its rich relations and flexible structure to support complex data models. It can act as a stand-alone database server or it can also provide materialized views for interoperation with other data models. It can also co-exist with established database systems as a centralized online archive or as a proxy database server. The current E-model prototype system was implemented on top of a relational database. This allows significant benefits from established database engines in application development. In addition to extensive features added to SQL, our EML prototype achieves an order of magnitude speed improvement in dynamic queries compared to popular database models.
Availability Release the entire work immediately for access worldwide after my graduation.
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