A Preliminary Review on the Diffusion of Linked Data in the Enterprise

Artigo apresentado no I Workshop de Informação, Dados e Tecnologia, realizado entre nos dias 04 e 06 de setembro de 2017, na cidade de Florianópolis (SC), no Auditório do Espaço Físico Integrado (EFI) da Universidade Federal de Santa Catarina (UFSC).As empresas necessitam estar atentas as mudanças no cenário mundial, para que possam responder rapidamente as mudanças de mercado. Para isso, a Web contribuiu possibilitando dinamismo, impactando com isso em um aumento significativo no volume de dados, que podem ser explorados, com o intuito de se obter benefícios. O Linked Enterprise Data é apresentado como um formato de dados que pode auxiliar os gestores na tomada de decisão, oportunizando explorar dados internos e externos a empresa, porém este conceito não é muito explorado no âmbito empresarial. Por este motivo o presente estudo objetiva-se em discutir os fatores que impedem a difusão de Linked Data neste contexto. Deste modo, observa-se que a cultura organizacional e alinhamento estratégico, entre outros, são alguns dos fatores encontrado para que não ocorra a difusão do Linked Enterprise Data. O que permite concluir que Linked Enterprise Data está começando a chamar atenção das empresas, mas se faz necessário mais trabalhos que abordem as reais contribuições ao meio empresarial, para difundir o Linked Data neste contexto.Companies need to be aware of changes in the global landscape, so they can respond quickly to market changes. For this purpose, the Web has contributed to the dynamism, thus impacting on a significant increase in the volume of data that can be exploited in order to obtain benefits. Linked Enterprise Data is presented as a concept that can help managers in decision making, allowing the exploration of internal and external data to the enterprise, but this concept is not much explored in the business scope. For this reason, the present study aims at discussing the factors that prevent the diffusion of Linked Data in this context. In this way, it is observed that the organizational culture and strategic alignment, among others, are some of the factors found so that the dissemination of Linked Enterprise Data does not occur. This allows us to conclude that Linked Enterprise Data is beginning to attract attention from companies, but more work is needed to address the real contributions to the business environment, to disseminate Linked Data in this context

Storage Solutions for Big Data Systems: A Qualitative Study and Comparison

Big data systems development is full of challenges in view of the variety of application areas and domains that this technology promises to serve. Typically, fundamental design decisions involved in big data systems design include choosing appropriate storage and computing infrastructures. In this age of heterogeneous systems that integrate different technologies for optimized solution to a specific real world problem, big data system are not an exception to any such rule. As far as the storage aspect of any big data system is concerned, the primary facet in this regard is a storage infrastructure and NoSQL seems to be the right technology that fulfills its requirements. However, every big data application has variable data characteristics and thus, the corresponding data fits into a different data model. This paper presents feature and use case analysis and comparison of the four main data models namely document oriented, key value, graph and wide column. Moreover, a feature analysis of 80 NoSQL solutions has been provided, elaborating on the criteria and points that a developer must consider while making a possible choice. Typically, big data storage needs to communicate with the execution engine and other processing and visualization technologies to create a comprehensive solution. This brings forth second facet of big data storage, big data file formats, into picture. The second half of the research paper compares the advantages, shortcomings and possible use cases of available big data file formats for Hadoop, which is the foundation for most big data computing technologies. Decentralized storage and blockchain are seen as the next generation of big data storage and its challenges and future prospects have also been discussed

Social Protection and Human Capital: Test of a Hypothesis

The claim of this paper is to investigate the relationship between social protection and the investment in human capital. The idea is that investment in human capital is risky and therefore, as a prerequisite, needs some kind of protection as insurance. Investments in specific human capital, in particular, are very risky and require a special protection so as not to be avoided. An attempt is made to study the micro foundations of this relationship in depth which afterwards moves on to a macroeconomic analysis. Here a strong link is found between the levels and types of social protection and the skill profiles of a country (as predicted). The clusters we find seem to be in accordance with existing literature on ‘varieties of capitalism’. The last stage of this work is a hypothesis in the opposite direction of the nexus: how the choices of workers and firms influence the institutional framework (endogeneity of institutions of the welfare state). The result of this network of relations seems to be the formation of several organizational equilibria (and not a global convergence) in which institutions shape agents’ behaviour and, at the same time, agents, through their policy preferences, reinforce existing institutional infrastructures.

Cross-Collaboration Processes based on Blockchain and IoT: a survey

Cross-collaboration processes are decentralized by nature and their centralized monitoring can trigger mistrust. Nevertheless, a decentralized monitoring facility such as a blockchain-based and Internet-of-Things-aware (IoT-aware) business process management system can reduce this pitfall. However, concerns related to usability, privacy, and performance, hamper the wide adoption of these systems. To better understand the challenges at stake, this paper reviews the use of blockchain and IoT devices in cross-collaboration processes. This survey sheds some light on standard uses such as model engineering or permissioned blockchains which help adopt cross-collaboration business process management systems. Moreover, with respect to process design, two schools of thought coexist, addressing both constrained and loosely processes. Furthermore, a focus on data-centric processes appears to get some momentum, as many industries go digital. Finally, this survey underlines the need to orient future research towards a more flexible, scalable, and data-aware blockchain-based business process management system