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Este trabalho coleta diferentes ferramentas que podem ser aplicadas no uso, estudo e aplicação de conceitos na disciplina de Linguagens Formais e Autômatos, além de traçar um breve comparativo entre suas diferentes características, funcionalidades e comportamentos, o que pode ser muito útil na referida disciplina do curso de Ciência da Computação. Muitas vezes essa é dada de maneira apenas teórica, assim, ferramentas para auxiliar no processo de ensino e aprendizagem são bem-vindas.

This work presents an interface for a Skin Cancer Sublanguage,which uses a non-SQL oriented database technology, called MongoDB,implementing the concept of Natural Language Interfaceto Databases (NLIDB). When compared to relational databases,No-SQL (Not Only SQL) mechanism is more scalable, it providessuperior performance and addresses several issues that a relationalmodel is not designed to solve. All obtained words and their variationsare labeled and stored in a MongoDB database, thus allowingcustomized queries to search and join morphemes. A dictionarywill be used to build dialogs, narratives and diagnoses in a SeriousGame with educational purposes that in addition obtains accurateanswers to the project’s database.

In integration approaches, heterogeneity is one of the main challenging factors on the task of providing integration among different data sources, whose solution lies in the search for equality among them. This work describes the state of the art and theoretical foundation involved in the structural and semantic analysis of heterogeneous data and information. The work aims to review methods and techniques used in data integration in Big Data, considering data heterogeneity, reviewing techniques that use the concepts of Semantic Web, Cloud Computing, Data Analysis, Big Data, Data Warehouse and other technologies to solve the problem of data heterogeneity. The research was divided into three stages. In the first stage, articles were selected from digital libraries according to their titles and keywords. In the second stage, the papers went through a second filter based on their summary, and, besides that, duplicate articles were also removed. The works’ introduction and conclusion were analyzed in the third stage to select the articles belonging to this systematic review. Throughout the study, articles were analyzed, compared and categorized. At the end of each section, the interrelationships and possible areas for future work were shown.

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