Salesian Journal on Information Systems

4

Authors: VOLPATO, G. L.

In this work, I describe a logical method for scientific writing. Any decision made in this type of writing should be based on the logic of science and the rules of communication, as part of a creative discourse. I present some logical flaws (regarding journal classification, academic vs. non-academic texts, and subjective inferences) and writing mistakes (in the structure of a paper and the writing style) that can undermine publication.

10

Authors: AFFONSO, F. J., RODRIGUES, E. L. L.

The software development process has been directed, over the years, to various methodologies with specific purposes to attend emerging needs. Besides, it can also be noticed, during this period, that some processes require mechanisms related to software reuse and greater speed in the development stage. An important factor in this context is the mutation (adaptation), which occurs in all the software's life cycle, due to its customers' needs or due to technological changes. Regarding the latter factor, it has been observed a significant increase in developments that use distributed applications through the World Wide Web or remote application. Based on the adaptation idea and on the necessity of software distribution systems, this paper presents a technique to reconfigure software capable of acting in several developmental contexts (local, distributed and/or Web). In order to demonstrate its applicability, a case study, through the use of service orientation and remote calls, was done to show the software adaptation in the development of applications. Besides, comparative results among the approaches used in the development of reconfigurable applications are also presented.

15

Authors: REZENDE, S. O.; MARCACINI, R. M.; MOURA, M. F.

The progress in digitally generated data aquisition and storage has allowed for a huge growth in information generated in organizations. Around 80% ofthose data are created in non structured format and a significant part of those are texts. Intelligent organization of those textual collection is a matter of interest for most organizations, for it speed up information search and retrieval. In this context, Text Mining can transform this great amount non structure text data un useful knowledge, that can even be innovative for those organizations. Using unsupervised methods for knowledge extraction and organization has received great attention in literature, because it does not require previous knowledge on the textual collections that are going to be explored. In this article we describe the main techniques and algorithms used for unsupervised knowledege extraction and organization from textual data. The most relevant works in literature are presented and discussed in each phase of the Text Mining process and some existing computational tools are suggested for each task at hand. At last, some examples and applications are present to show the use of Text Mining on real problems.