BOOKISH: Uma ferramenta para contextualização de documentos utilizando mineração de textos e expansão de consulta

• Autor(a) principal: SILVA, Luciana Oliveira e
• Data de Publicação: 2009
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Repositório Institucional da UFG
• Texto Completo: http://repositorio.bc.ufg.br/tede/handle/tde/525
• topic: Mineração de Textos; Expansão de Consulta; Tecnologias de Comunicação e Informação; 1 - Tecnologia da Informação 2 - Comunicação na tecnologia 3 mineração de textos 4 - Expansão de consulta 5 - Tecnologias de Comunicação e informação; Text Mining; Query Expansion; Information and Communication Technologies; CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO

The continuous development of technology and its dissemination in all domains have caused significant changes in society and in education. The new global society demands new skills and provides an opportunity to introduce new technologies into the educational process, improving traditional education systems. The focus should be on the search for information, significant research, and on the development of projects, rather than on the pure transmission of content. When delivering a lecture about a given content, teachers often provide additional sources that will help students deepen their understanding of the subject and carry out activities. Furthermore, it is desirable to have proactive students, capable of interpreting and identifying other sources of information that complement and expand the subject being studied. However, one of the challenges today is information overload - there are many documents available and few effective ways to treat them. Every day, large numbers of documents are stored and made available. These documents contain a lot of relevant information. However finding that knowledge is a difficult task. The BOOKISH system, proposed in this work, assists students in their search activity. Analyzing PowerPoint slide presentations, the tool identifies contextually similar electronic documents, minimizing the time spent in searching for additional relevant material and directing the student to the content he needs. The tool presented in this document uses text mining techniques and automatic query expansion.