Ordinances are documents issued by federal institutions that contain, among others, information regarding their staff. These documents are accessible through public repositories that usually do not allow any filter or advanced search on documents’ contents. This paper presents ACERPI, an approach which identifies the people mentioned in the ordinances to help the user find the documents of interest. ACERPI combines techniques to discover, obtain, convert and structure documents, extract information, and link employees entities. Experiments were performed on two real datasets and demonstrated a recall of 72.7% for our named entity recognition model trained with only 534 samples and F1 measure of 90% in the efficacy of the entity resolution technique.

The web is a large repository of entity-pages. An entity-page is a page that publishes data representing an entity of a particular type, for example, a page that describes a driver on a website about a car racing championship. The attribute values published in the entity-pages can be used for many data-driven companies, such as insurers, retailers, and search engines. In this article, we define a novel method, called SSUP , which discovers the entity-pages on the websites. The novelty of our method is that it combines URL and HTML features in a way that allows the URL terms to have different weights depending on their capacity to distinguish entity-pages from other pages, and thus the efficacy of the entity-page discovery task is increased. SSUP determines the similarity thresholds on each website without human intervention. We carried out experiments on a dataset with different real-world websites and a wide range of entity types. SSUP achieved a 95% rate of precision and 85% recall rate. Our method was compared with two state-of-the-art methods and outperformed them with a precision gain between 51% and 66%.

The Web can be considered a vast repository of temporal information, as it daily receives a huge amount of new pages. Generally, users are interested in information related to a specific temporal interval. In the information retrieval area, researches have newly incorporated the temporal dimension to the search engines. This paper presents a comprehensive study that describes the evolution of search engines on the exploitation of temporal information. Research directions and future perspectives are also presented, considering the authors' point of view.

presente artigo apresenta um estudo quali-quantitativo dirigido com o objetivo de identificar os motivos que podem levar os alunos de cursos ofertados na modalidade a distância a plagiarem e como os professores têm atuado a respeito deste problema nas atividades acadêmicas. Os resultados obtidos mostram que os professores consideram importante relatar os casos de plágio aos alunos para entendimento e correção, não se atendo apenas na punição. Já os estudantes demonstram a falta de conhecimento acerca das normas de citação, o que pode causar o plágio não intencional. Diante disso, julga-se necessário aplicar ações junto a comunidade acadêmica para conscientização da importância da utilização de fontes confiáveis e da atribuição correta aos autores originais, evitando assim a violação de direitos autorais.

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