Desenvolvimento e aplicação de um método para detecção de indícios de plágio

• Ano de defesa: 2011
• Autor(a) principal: Pertile, Solange de Lurdes
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Santa Maria; BR; Ciência da Computação; UFSM; Programa de Pós-Graduação em Informática
• Palavras-chave em Português: Detecção automática de indícios de plágio; Ambientes virtuais de aprendizagem; M-Learning; Educação a distância; Moodle; Automatic detection of signs of plagiarism; Virtual learning environments; Distance education Moodle; Mle-Moodle; CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
• Link de acesso: http://repositorio.ufsm.br/handle/1/5376

The distribution and access to information by a much larger number of people on the Internet has grown in a exponential, way has been hard the which control of the originality of the information and facilitating the work of plagiarists users who make use of such information inappropriately. It is in this context that stands the importance of evalute the texts produced in the post-graduate and graduate courses in the classroom and distance modalities, that this paper proposes a new method to detect signs of plagiarism in academic work, which performs to searche similar fragments with web documents. The method developed analyzes the mosaic plagiarism, where the author shares copies of a work by changing only a few words without giving credit to the original work, and the bilingual plagiarism, where the contents of a document in English is translated for Portuguese without reference the original work. In addition, the method was implemented in an integrated tool and to the sending task module of the Moodle platform for access by desktop and by the mobile device aiming to empower the teachers the benefits of its utilization in the posting of work in a AVA, and implemented as a desktop computer system to allow users the access also outside theAVA Moodle. The results showed that the developed method reached satisfactory results in relation to other techniques found in literature, getting over a collection of 14 documents indexs of similarities ranging from 30.07% to 40% and with a precision in the returned results between 71.42 % and 96.15%. The experimental results of a translated document from English to Portuguese had a 100% accuracy in the returned results.