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O processo de publicações de artigos global através da Internet utilizando sistemas de submissão, revisão e publicação. Tais sistemas tem um elevado custo financeiro e computacional, tornando o conhecimento científico restrito a um público cada vez menor. Existem iniciativas que tentam tornar o processo de submissão e avaliação abertos e visam promover o acesso mais democráticos a ele. Entretanto, dois desafios ficam evidentes, o primeiro é a relação desigual entre autores e editoras durante os processos de submissão, revisão e publicação; o segundo está relacionado a infraestrutura de uma editora que normalmente responde pelos direitos de publicação do artigo. Neste sentido, visando dar maior governança ao processo de publicação de artigos, nós propomos a Editora Científica Autônoma e Distribuída (Distributed Autonomic Scientific Publisher - DASP), uma editora científica autônoma funcionando sobre uma blockchain privada(permissionada) que permite que todo o processo seja auditado, garantindo os direitos autorais aos pesquisadores envolvidos na publicação de cada artigo e diminuindo o custo para os leitores com a retirada de intermediários. Como prova de conceito foi desenvolvido um ambiente editorial com os processos básicos de submissão e revisão para validar a proposta.

Since the term Internet of Things (IoT) was coined by Kevin Ashton in 1999, a number of middleware platforms have been developed to cope with important challenges such as the integration of different technologies. In this context of heterogeneous technologies, IoT message brokers become critical elements for the proper function of smart systems and wireless sensor networks (WSN) infrastructures. There are several evaluations made on IoT messaging middleware performance. Nevertheless, most of them ignore crucial aspects of the IoT context that also need to be included, such as reliability and other qualitative aspects. Thus, in this article, we propose a methodology for classification and evaluation of IoT brokers to help the scientific community and technology industry on evaluating them according to their interests, without leaving out important aspects for the context of smart environments. Our methodology bases its qualitative evaluations on the ISO/IEC 25000 (SQuaRE) set of standards and its quantitative evaluations on Jain's process for performance evaluation. We developed a case study to illustrate our proposal with 12 different open-source brokers, validating the feasibility of our methodological approach. | INTRODUCTIONThe Internet of Things (IoT) has gained increasing attention during the last decade, with continuous innovations in hardware, software, and connection solutions. Initiatives in different countries such as China, 1 Hong Kong, 2 the United States, 3 and various countries in Europe among others 4 reflect the worldwide interest in the topic. In Brazil, initiatives

Abstract. Modern day interfaces must deal with a large number of heterogeneity factors, such as varying user profiles and runtime hardware and software platforms. These conditions require interfaces that can adapt to the changes in the triad. The Model-Based User Interface approach has been proposed as a way to deal with these requirements. In this paper we present a data-driven, rule-based interface definition model capable of taking into account the semantics of the data it is manipulating, especially in the case of Linked Data. An implementation architecture based on the Synth environment supporting this model is presented.