A Fuzzy Ontology-Driven Approach to Semantic Interoperability in e-Government Big Data

With the increasing production of information from e-government initiatives, there is also the need to transform a large volume of unstructured data into useful information for society. All this information should be easily accessible and made available in a meaningful and effective way in order to achieve semantic interoperability in electronic government services, which is a challenge to be pursued by governments round the world. Our aim is to discuss the context of e-Government Big Data and to present a framework to promote semantic interoperability through automatic generation of ontologies from unstructured information found in the Internet. We propose the use of fuzzy mechanisms to deal with natural language terms and present some related works found in this area. The results achieved in this study are based on the architectural definition and major components and requirements in order to compose the proposed framework. With this, it is possible to take advantage of the large volume of information generated from e-Government initiatives and use it to benefit society.

A three-pronged approach to social business: a Brazilian multi-case analysis

Social businesses present a new paradigm to capitalism, in which private companies, non-profit organizations and civil society create a new type of business with the main objective of solving social problems with financial sustainability and efficiency through market mechanisms. As any new phenomenon, different authors conceptualize social businesses with distinct views. This article aims to present and characterize three different perspectives of social business definitions: the European, the American and that of the emerging countries. Each one of these views was illustrated by a different Brazilian case. We conclude with the idea that all the cases have similar characteristics, but also relevant differences that are more than merely geographical. The perspectives analyzed in this paper provide an analytical framework for understanding the field of social businesses. Moreover, the cases demonstrate that in the Brazilian context the field of social business is under construction and that as such it draws on different conceptual influences to deal with a complex and challenging reality.

Intelligence systems methodology: a systemic approach to the organizational intelligence function

Organizational intelligence can be seen as a function of the viable structure of an organization. With the integration of the Viable System Model and Soft Systems Methodology (systemic approaches of organizational management) focused on the role of the intelligence function, it is possible to elaborate a model of action with a structured methodology to prospect, select, treat and distribute information to the entire organization that improves the efficacy and efficiency of all processes. This combination of methodologies is called Intelligence Systems Methodology (ISM) whose assumptions and dynamics are delimited in this paper. The ISM is composed of two simultaneous activities: the Active Environmental Mapping and the Stimulated Action Cycle. The elaboration of the formal ISM description opens opportunities for applications of the methodology on real situations, offering a new path for this specific issue of systems thinking: the intelligence systems. Knowledge Management Research & Practice (2012) 10, 141-152. doi:10.1057/kmrp.2011.44

Perfil comportamental e competência social de crianças e adolescentes com distrofia muscular de Duchenne

A distrofia muscular de Duchenne é uma doença genética caracterizada por enfraquecimento muscular progressivo e degeneração irreversível, acompanhados por danos sensoriais e neuropsicológicos. Os objetivos do estudo consistiram em avaliar o perfil comportamental de crianças/adolescentes com DMD e a influência do prejuízo motor, da idade no início do uso de cadeira de rodas e da idade no diagnóstico. Participaram 34 pacientes e 20 controles. Os pacientes formaram dois grupos conforme o quociente de inteligência (QI). Os pais responderam ao Inventário de Comportamentos da Infância e da Adolescência. Pacientes com DMD obtiveram escores mais baixos em Atividades e Sociabilidade (p < 0,01; ANCOVA). Os pacientes com QI < 80 apresentaram menores índices de Escolaridade. O prejuízo motor e as idades referentes à cadeira e ao diagnóstico correlacionaram-se com sintomas psiquiátricos/somáticos e problemas escolares. Os achados enfatizam a necessidade de programas educacionais acerca da doença como base para o desenvolvimento de estratégias de inclusão social.