Cyberspace has dramatically improved our daily lives in the past several decades. Meanwhile, people’s personal identifiable information (PII) is exposed online and is at risk of identity theft and cybercrimes. The Identity Ecosystem developed by the Center for Identity in the University of Texas at Austin addresses this problem and provides a statistical framework for understanding the value, risk and mutual relationships of PII. The Identity Ecosystem currently uses a general Bayesian Network Model to simulate the relationships among PII, which may be quite inaccurate for specific groups of people. This thesis proposes a solution that specializes the Bayesian Network used for particular groups of people. Both one-dimension specialization and multi-dimension specialization are investigated. Research problems like how to choose specialization criterion, how to set specialization boundaries, and how to overcome the difficult of insufficient data, are carefully studied. Specialization functionality is demonstrated based on empirical data. Finally, experiments of specialization are conducted on data obtained from online stories. This work is important in the sense that it provides a guide-line of designing more accurate models of PII within the Identity Ecosystem. / text

Investigou-se neste trabalho a proposta de um Modelo Lógico Gráfico para suporte à fase do Projeto Lógico em BDORs. O Modelo Lógico Gráfico proposto é uma extensão da UML para o Diagrama de Classes. A extensão deu-se por meio da elaboração de um Perfil UML, o qual foi disponibilizado em XMI para ser empregado em ferramentas CASE de diferentes fabricantes. Desenvolveu-se dois módulos para a ferramenta CASE ArgoUML. Esses módulos têm por finalidade a automação do desenvolvimento em BDORs, onde, a partir de um esquema gráfico, projetado utilizando-se o Modelo Lógico Gráfico proposto, gera-se código no padrão da SQL:2003 e no dialeto SQL utilizado pelo Oracle 11g. Foi proposta uma arquitetura baseada na ANSI/SPARC e na MDA para o projeto em BDORs que relaciona as fases do Projeto com as tecnologias empregadas para suportá-las. Por meio dessa arquitetura, destacam-se os pontos onde houve contribuição deste trabalho e os pontos que serão alvos de futuras pesquisas. Esta dissertação difunde os recursos existentes em BDORs e facilita a elaboração do Projeto Lógico em BDORs ao disponibilizar o modelo gráfico proposto e ao automatizar seu desenvolvimento na ferramenta CASE ArgoUML. / A Logical Graphic Model was proposed to support the Logical Design phase in ORDB. The Logical Graphic Model proposed is an extension of the UML Class Diagram. The extension was obtained by the elaboration of a UML Profile, which was released in XMI to be used in CASE tools from different manufacturers. Two modules were developed for ArgoUML CASE tool. These modules were designed to automate the development in ORDB, where, from a logical graphic, projected using the proposed Logical Graphic Model, creates the code standard SQL: 2003 and the SQL dialect used by Oracle 11g. An architecture based on the ANSI / SPARC and MDA for the project in ORDBs was proposed. This architecture associates the Project phases with the technologies used to support them. Through this architecture, the contributions of this paper and the subjects that will be target for future researches are highlighted. This dissertation diffuses the existing resources in ORDBs and facilitates the development of the Logical Design in ORDB, by disposing the proposed graphic model and automating its development in the ArgoUML CASE tool.

Investigou-se neste trabalho a proposta de um Modelo Lógico Gráfico para suporte à fase do Projeto Lógico em BDORs. O Modelo Lógico Gráfico proposto é uma extensão da UML para o Diagrama de Classes. A extensão deu-se por meio da elaboração de um Perfil UML, o qual foi disponibilizado em XMI para ser empregado em ferramentas CASE de diferentes fabricantes. Desenvolveu-se dois módulos para a ferramenta CASE ArgoUML. Esses módulos têm por finalidade a automação do desenvolvimento em BDORs, onde, a partir de um esquema gráfico, projetado utilizando-se o Modelo Lógico Gráfico proposto, gera-se código no padrão da SQL:2003 e no dialeto SQL utilizado pelo Oracle 11g. Foi proposta uma arquitetura baseada na ANSI/SPARC e na MDA para o projeto em BDORs que relaciona as fases do Projeto com as tecnologias empregadas para suportá-las. Por meio dessa arquitetura, destacam-se os pontos onde houve contribuição deste trabalho e os pontos que serão alvos de futuras pesquisas. Esta dissertação difunde os recursos existentes em BDORs e facilita a elaboração do Projeto Lógico em BDORs ao disponibilizar o modelo gráfico proposto e ao automatizar seu desenvolvimento na ferramenta CASE ArgoUML. / A Logical Graphic Model was proposed to support the Logical Design phase in ORDB. The Logical Graphic Model proposed is an extension of the UML Class Diagram. The extension was obtained by the elaboration of a UML Profile, which was released in XMI to be used in CASE tools from different manufacturers. Two modules were developed for ArgoUML CASE tool. These modules were designed to automate the development in ORDB, where, from a logical graphic, projected using the proposed Logical Graphic Model, creates the code standard SQL: 2003 and the SQL dialect used by Oracle 11g. An architecture based on the ANSI / SPARC and MDA for the project in ORDBs was proposed. This architecture associates the Project phases with the technologies used to support them. Through this architecture, the contributions of this paper and the subjects that will be target for future researches are highlighted. This dissertation diffuses the existing resources in ORDBs and facilitates the development of the Logical Design in ORDB, by disposing the proposed graphic model and automating its development in the ArgoUML CASE tool.

The diploma thesis consists of specification of e-commerce as a tool serving for grocery presentation and distribution. Specifies conditions of foundation, operation and service relevant to used solution. It contains new framework suggestions contributing increases in effectivity and productivity in online grocery shopping.