In this paper, we present an approach based on Ontology Learning and Natural Language Processing for automatic construction of expressive Ontologies, specifically in OWL DL with ALC expressivity, from a natural language text. The viability of our approach is demonstrated through the generation of descriptions of complex axioms from concepts defined by users and glossaries found at Wikipedia. We evaluated our approach in an experiment with entry sentences enriched with hierarchy axioms, disjunction, conjunction, negation, as well as existential and universal quantification to impose restriction of properties. The obtained results prove that our model is an effective solution for knowledge representation and automatic construction of expressive Ontologies. Thereby, it assists professionals involved in processes for obtain, construct and model knowledge domain.

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Several years ago software development has become critical to the global market. In the past decade, as a reflection of globalization, software companies began to distribute their development processes in different places, creating distributed software development (DSD). With the growing of Distributed Software Development, organizations have attempt to sketch the best possible development structure, in order to improve productivity and quality. The aim of this paper is to present a Systematic Review of Literature to identify which ways of collaboration are commonly used by software organizations where teams are temporal and geographically dispersed, with also different native languages and culture. Further, the research was based on the basic life cycle of the traditional development, and where phases of the project are performed: onsite, distributed/offshore and multi-site. The systematic review have examined 868 papers published between 2000 and 2010.

Esta pesquisa busca descrever o percurso metodológico bem como as experiências alcançadas através de um projeto de formação tecnológica para docentes do ensino superior. Dada as possibilidades de ampliação dos seus conhecimentos sobre as ferramentas do Google for Education, de forma aplicável ao contexto educativo, a concepção deste projeto deccoreu da necessidade urgente de enfrentar os desafios relacionados à Educação Remota e Ensino Híbrido, em função das medidas sanitárias de afastamento social durante a pandemia do COVID-19. Objetivou-se, assim, potencializar a prática dos docentes em formações dessa natureza, a fim de que estes possam promover novas experiências educativas e melhorias na sua própria vivência profissional.

The intrinsic nature of distributed software development (DSD) brings new challenges, such as communication issues and sharing information efficiently. Software companies have a tendency to face these challenges using individual and isolated approaches, making difficult to spread good practices for the DSD community. In other contexts, concepts and techniques from Artificial Intelligence (AI) are frequently used in order to improve the functioning of systems and process. This work is based on the following AI concepts: ontologies, case-based reasoning (CBR) and natural language processing (NLP). We propose a system, based on ontology and case-based reasoning, that operates as follows: i) we use a tool for ontology storage, access and processing; and ii) an ontology-based CBR tool which aims to aid software companies by recommending techniques and best practices for minimizing or solving potential challenges that may be faced by DSD processes. The main results from this research are: i) a specific ontology for distributed software development teams; ii) a tool to facilitate the access and manipulation of the proposed ontology; and iii) a casebased reasoning system that utilizes natural language processing. Initial results of the performed experiments indicate a success rate of 91.7% in the recommendation of solutions for potential problems coming from DSD processes.

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