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Abstract

Many authors propose that open source software (OSS) is a good strategy to bring information and communication technologies to developing countries. Nevertheless, the use of OSS needs to be more than just adopting Linux as the standard for operating systems. Adoption of OSS is not only a choice of software, but also a means of acquiring knowledge. Developing countries have to use OSS as a way to gain knowledge about the technology itself and as a way of creating technology products that fit their specific needs. In this article, the authors introduce a model of OSS based on its essential characteristics to understand how developing countries may use OSS to achieve their development goals. The authors argue that there are two defining properties of any open source software. The first property is the potential for shared conceptualization and the second is the potential for modularity. By assessing how each OSS project satisfies these two conditions, a taxonomy is built for open source projects. This taxonomy will help the development of more sensible policies to promote the use of open source in developing countries.

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Abstract

In philosophy, Ontology is the basic description of things in the world. In information science, an ontology refers to an engineering artifact, constituted by a specific vocabulary used to describe a certain reality. Ontologies have been proposed for validating both conceptual models and conceptual schemas; however, these roles are quite dissimilar. In this article, we show that ontologies can be better understood if we classify the different uses of the term as it appears in the literature. First, we explain Ontology (upper case O) as used in Philosophy. Then, we propose a differentiation between ontologies of information systems and ontologies for information systems. All three concepts have an important role in information science. We clarify the different meanings and uses of Ontology and ontologies through a comparison of research by Wand and Weber and by Guarino in ontology-driven information systems. The contributions of this article are twofold: (a) It provides a better understanding of what ontologies are, and (b) it explains the double role of ontologies in information science research.

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Date

7. 3.2019 16:32:22