Scielo RSS <![CDATA[JISTEM - Journal of Information Systems and Technology Management]]> vol. 15 num. lang. en <![CDATA[SciELO Logo]]> <![CDATA[Methodology for The Development of an Ontology Network on The Brazilian National System for the Evaluation of higher Education (OntoSINAES)]]> ABSTRACT Ontologies occupy a central position in any conceptual model of the Semantic Web, aiming fundamentally to add explicit semantics to the contents available in the Web. In the domain of Brazilian higher education, especially with regard to the National System for the Evaluation of Higher Education (SINAES), still lacks a reference ontology that can provide a basic conceptualization common to the different stakeholders of the domain. In this work we discuss the role of an ontology network developed with the purpose of improving the quality of the data produced by the different actors, institutions and systems within the domain of SINAES, in addition to facilitating their publication as open and connected data. In particular, we highlight the importance of the NeOn methodology to be followed during the development of an ontology network, demonstrating its role in defining the life cycle and in the articulation of the various processes and activities in the OntoSINAES ontological network development process. <![CDATA[The influence of organizational injustice in the motivation for the practice of cybercrimes]]> RESUMO Esta pesquisa analisou como a percepção de injustiça organizacional motiva a prática de crimes cibernéticos no local de trabalho. Em uma investigação qualitativa e exploratória, foram realizadas entrevistas com 16 especialistas em segurança cibernética. Os dados foram analisados através da técnica de análise de conteúdo categorial. Os resultados sugerem que a percepção de injustiça produz sentimentos negativos como a baixa-estima, a frustração e a ausência de culpa, e que essas emoções motivam a prática de crimes cibernéticos. Diferentes percepções identificadas entre os entrevistados deste estudo, associadas à revisão da literatura referente ao tema, permitiram a proposição de um modelo conceitual.<hr/>Abstract This research analyzes how the perception of organizational injustice motivates the practice of cybercrimes in the workplace. In a qualitative and exploratory investigation, interviews have been carried out for 16 specialists in cybernetic security. Data were analyzed through the categorical content analysis technique. The results obtained suggest that the perception of injustice produces negative feelings, such as low self-esteem, frustration, and lack of guilt, and these emotions, in turn, motivate the practice of cybercrimes. Different perceptions have been identified among the interviewees of this study, which are associated with the literature review related to the theme, allowed the proposition of a conceptual model. <![CDATA[Results obtained in a data mining process applied to a database containing bibliographic information concerning four segments of science.]]> Resumen Este trabajo tiene como objetivo mejorar la calidad de la información que pertenece a la base de datos CubaCiencia, del Instituto de Información Científico y Tecnológico. Esta base de datos tiene información bibliográfica referida a cuatro segmentos de la ciencia y es la base de datos principal del Sistema de Gestión Bibliotecario. La metodología aplicada estuvo basada en los Árboles de Decisión, la Matriz de Correlación, el Scatter Plot 3D, etc., que son técnicas utilizadas por la minería de datos, para el estudio de grandes volúmenes de información. Los resultados alcanzados no solo permitieron mejorar la información de la base de datos, sino que también aportaron patrones verdaderamente útiles en la solución de los objetivos propuestos.<hr/>Abstract The objective of this work is to improve the quality of the information that belongs to the database CubaCiencia, of the Institute of Scientific and Technological Information. This database has bibliographic information referring to four segments of science and is the main database of the Library Management System. The applied methodology was based on the Decision Trees, the Correlation Matrix, the 3D Scatter Plot, etc., which are techniques used by data mining, for the study of large volumes of information. The results achieved not only made it possible to improve the information in the database, but also provided truly useful patterns in the solution of the proposed objectives. <![CDATA[Artificial Intelligence: way forward for India]]> ABSTRACT Artificial Intelligence (AI) is likely to transform the way we live and work. Due to its high potential, its adoption is being treated as the fourth industrial revolution. As with any major advancement in technology, it brings with it a spectrum of opportunities as well as challenges. On one hand, several applications have been developed or under development with potential to improve the quality of life significantly. As per a study, it is expected to double the annual economic growth rate of 12 developed countries by 2035. On the other hand, there is a possibility of loss of jobs. As per the available reports, the loss of jobs during the next 10-20 years is estimated to be 47% in the US, 35% in the UK, 49% in Japan, 40% in Australia, and 54% in the EU. In the era of globalization, no country can isolate itself from the impact of the advances in technology. However, the benefits can be maximized and losses can be minimized by putting necessary infrastructure and policy in place. Though several countries have decided their strategy for AI, India has not yet formulated its strategy. This article reviews the international as well as national scenario and suggests way forward for India.