Made available in DSpace on 2016-06-02T19:39:32Z (GMT). No. of bitstreams: 1 5044.pdf: 1382379 bytes, checksum: 16170b952d4fd3ef68ccb6e482a4c37c (MD5) Previous issue date: 2013-02-22 / This research investigated the learning faculty of experienced teachers who act as "guardians-rulers" in a "supervised" program developed by the Faculty of Education in UFSCar, in the distance, considering the perspectives of these professionals. Specifically, we would like to to understand the changes in the knowledge base for teaching teachers of educational supervisors to act as placement of student teachers, tutors-regents from their participation program. The literature that supports the study is based on studies of Mizukami (2002, 2004, 2006) and Shulman (1986, 1987, 2005) (knowledge base), Garcia (1999, 2002), Vaillant (2003, 2004), Reali (1995, 2009) (teacher trainer), Pepper and Lima (2002, 2006, 2008) (supervised) and the Distance education as a tool for training of trainers based on Rinaldi (2009), Reali (2009) among others who understand the teacher education as a field to be explored and improved constantly. Through a qualitative study a descriptive-analytical revealed the importance of specific training of teachers to act as supervisors stages of future teachers, or "teacher trainers", and the urgency to score elements that make up the base knowledge for teaching trainer. / Esta pesquisa investigou as aprendizagens docentes de professores experientes que atuam como tutores-regentes no programa de estágio supervisionado desenvolvido pelo curso de Pedagogia da UFSCar, na modalidade a distância, considerando a perspectiva desses profissionais. Especificamente, procurou-se compreender as modificações na base de conhecimento para o ensino dos professores das redes de ensino ao atuarem como supervisores de estágios de futuros professores, os tutores-regentes, a partir de sua participação programa. A literatura que dá sustentação ao estudo é baseada em estudos de Mizukami (2002, 2004, 2006) e Shulman (1986, 1987, 2005) (base do conhecimento), Garcia (1999, 2002), Vaillant (2003, 2004), Reali (1995, 2009) (formador de professores) Pimenta e Lima (2002, 2006,2008) (estágio supervisionado) e sobre a educação a Distância como ferramenta de formação de professores, baseada em Rinaldi (2009), Reali (2009) dentre outros que entendem a formação de professores como um campo a ser explorado e melhorado incessantemente. Por meio de um estudo qualitativo de natureza descritivo-analítico, evidenciou-se a importância da formação específica dos professores para atuar como supervisores de estágios de futuros professores, ou seja, formadores de professores , e a urgência em se pontuar elementos que compõem a base de conhecimento para o ensino do formador.

Submitted by Kátia Marques Da Silva (azeretolum@outlook.com) on 2018-04-23T23:48:25Z No. of bitstreams: 1 Tese - Katia Marques.pdf: 4561081 bytes, checksum: df3b1f8ff238748716a20d44b5315c27 (MD5) / Approved for entry into archive by Elza Mitiko Sato null (elzasato@ibilce.unesp.br) on 2018-04-24T15:54:07Z (GMT) No. of bitstreams: 1 silva_km_dr_sjrp.pdf: 4561081 bytes, checksum: df3b1f8ff238748716a20d44b5315c27 (MD5) / Made available in DSpace on 2018-04-24T15:54:07Z (GMT). No. of bitstreams: 1 silva_km_dr_sjrp.pdf: 4561081 bytes, checksum: df3b1f8ff238748716a20d44b5315c27 (MD5) Previous issue date: 2018-03-09 / Esta pesquisa, um estudo de caso etnográfico, teve por objetivo investigar, segundo os princípios da perspectiva sociocultural de formação de professores de línguas, apoiada na psicologia sócio-histórica de Vygotsky (1978, 1988, 1987, 1986, 1981, 1992, 1990) e em Johnson e Golombek (2016, 2013, 2011, 2011a, 2011b, 2002, 2003), Johnson (2015, 2009) e Golombek (2011, 2015), a relação da ensinagem de uma professora formadora de Metodologia de Ensino de Língua Estrangeira - Inglês com a ensinagem de um aluno-professor de um Curso de Letras nas aulas de Metodologia e no Estágio Supervisionado. Para atingir esse objetivo principal, foram investigadas as possíveis ocorrências de (co)construção de conceitos nas atividades teórico-práticas desenvolvidas. Os dados foram gerados a partir de diários, desenho pictórico, gravações em áudio, entrevistas, questionários e documentos (planos de aula) produzidos pelo participante da pesquisa. A análise dos dados, com base em conceitos advindos da perspectiva sociocultural, permitiu identificar e selecionar, no curso desses diferentes momentos de observações teórico-práticas, a construção, a coconstrução e a reconstrução de conceitos cotidianos e científicos nas ações do aluno-professor de língua inglesa em formação e a relação destes com a ensinagem da professora formadora. Estes conceitos, chamados de acadêmicos e cotidianos (JOHNSON; GOLOMBEK, 2016), são necessários para o desenvolvimento dialógico do professor em formação inicial, por serem parte de um processo único de construção do conhecimento (VYGOTSKY, 1978). / This study research, an ethnographic case study, aims at investigating the relation of the teaching of a teacher educator of the subject course Metodologia de Ensino de Língua Estrangeira - Inglês to the teaching of a student-teacher in the classes of methodology and practicum of a Curso de Letras of a federal university of the interior of the state of Minas Gerais, based on the principles of a sociocultural perspective of second language teacher education, supported by Vygotsky (1978, 1988, 1987, 1986, 1981, 1992, 1990), and by Johnson and Golombek (2016, 2013, 2011, 2011a, 2011b, 2002, 2003), Johnson (2015, 2009) and Golombek (2011, 2015). Therefore, theoretical-practical activities developed during the second semester of 2014 and the first semester of 2015 were observed and monitored. The data were collected from diaries, drawings, audio recordings, interviews, questionnaires, and also from documents (lesson plans) produced by the participant of this research. The analysis of the data, oriented by the concepts of a sociocultural perspective, contributed to the identification and selection in different moments of theoretical-practical observations, the construction, coconstruction, and reconstruction of academic and everyday concepts in the action of the student-teacher in preservice education in relation to the teaching of the teacher educator. These concepts, named academic and everyday concepts (JOHNSON; GOLOMBEK, 2016), are necessary to the student-teacher’s dialogical development, as they are part of a unique process of construction of knowledge (VYGOTSKY, 1978).

Submitted by Geandra Rodrigues (geandrar@gmail.com) on 2018-01-24T17:38:24Z No. of bitstreams: 1 mauchaandradegamonal.pdf: 5898096 bytes, checksum: cc3b3c0c9d776bf57d27623b3f7869bd (MD5) / Approved for entry into archive by Adriana Oliveira (adriana.oliveira@ufjf.edu.br) on 2018-01-25T10:40:48Z (GMT) No. of bitstreams: 1 mauchaandradegamonal.pdf: 5898096 bytes, checksum: cc3b3c0c9d776bf57d27623b3f7869bd (MD5) / Made available in DSpace on 2018-01-25T10:40:48Z (GMT). No. of bitstreams: 1 mauchaandradegamonal.pdf: 5898096 bytes, checksum: cc3b3c0c9d776bf57d27623b3f7869bd (MD5) Previous issue date: 2017-11-30 / CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / Segundo pesquisadores da Linguística Cognitiva, a metonímia é um dos fenômenos que atuam como base da conceptualização humana e revelam formas de funcionamento da cognição. (LAKOFF, 1989; KOVECSES & RADDEN, 1999; BARCELONA, 2003). Por outro lado, não há clareza quanto à delimitação do conceito, pois a riqueza de uso sinaliza diferentes princípios em sua formação. Nesta tese, o potencial da Semântica de Frames (FILLMORE, 1982) e da FrameNet (RUPPENHOFER ET AL, 2016) no reconhecimento lexicográfico de metonímias é colocado em destaque para a proposição de modelo linguístico-computacional na Base de Conhecimento Multilíngue da FrameNet Brasil, m.knob. A pesquisa investe em estudo da literatura acerca do fenômeno com o objetivo de validar a teoria existente na proposição de recurso de finalidade prática. Para alcançar tal objetivo, o trabalho também explora parte da modelagem da metonímia proposta por Ibãnéz & Masegosa (2014). Os autores utilizam os princípios da Linguística Cognitiva, incluindo a modelagem por frames e o uso de corpus. A metodologia utilizada na proposição do nosso modelo inclui teste de reconhecimento metonímico realizado durante Oficina de Anotação mediada por Computador com alunos da Faculdade de Letras da UFJF e posterior análise de tais dados produzidos via FrameNet Brasil. A conclusão do trabalho amplia as relações entre frames e elementos de frame previstas pela FrameNet para uso do m.knob. Futuras pesquisas sugerem o estudo da validade de tais relações para o banco de dados da domínio genérico da FrameNet Brasil. / According to Cognitive Linguistics researchers, metonymy is one of the phenomena serving as the basis for human conceptualization and reveals forms of cognitive functioning (LA-KOFF, 1989, KOVECSES & RADDEN, 1999, BARCELONA, 2003). On the other hand, it is not clarified as far as the delimitation of the concept, because there are different principles in its setting-of. Int his dissertation, the potential of Frame Semantics (FILLMORE, 1982) and FrameNet (RUPPENHOFER ET AL, 2016) in the lexicographical recognization of me-tonymies is emphasized in order to develop a linguistic-computational model for the Multilin-gual Knowledge Base of FrameNet Brazil, the m.knob. This research studies the literature about metonymy in order to validate the existing theory in a practical resource. To achieve this goal, we also explore the cognitive model proposed by Ibãnéz & Masegosa (2014). The authors use the principles of Cognitive Linguistics, including frames and corpora. Our me-thodology includes a metonymic test during the course Oficina Mediada por Computador, held in Faculty of Linguistics and Literature, at Federal University of Juiz de Fora, we also include an analysis of such data via FrameNet Brasil annotation procedures. In conclusion, we have expanded the FrameNet relations between frames and frame elements for m.knob use. Future researchers include the validation of these relations for the generic domain data of FrameNet Brazil.

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / The popularization of the Internet has provided an increase in the number of web applications that work with critical information. Parallel to this, attacks that exploit the vulnerabilities of these applications has also grown. This scenario has stimulated companies to invest in tools to monitor their network infrastructure in order to detect malicious activity. One of the main tools used by companies to monitor their network infrastructures and identifying attacks are Intrusion Detection Systems. However, due to expansion of the volume of data in computer networks, these systems are becoming limited. In contrast, researchers have explored the construction of Internet Early Warning Systems to monitor malicious activities on the Internet. This work proposes a data model of a knowledge base for Internet EarlyWarning Systems. The model represents the data of different aspects of the network with a focus on events related to intrusion detection, such as data of alerts generated by intrusion detection systems, information on response measures, traffic statistics and signatures of known attacks. A case study on a real network infrastructure demonstrates the applicability of the data model of knowledge base and identifies the advantages of its use. Furthermore, the data stored in the knowledge base potentializes the construction of situational awareness of monitored environment, directing the activities of the security team and helping in the decision process responses to potential attacks. / A popularização da Internet tem proporcionado um aumento no número de aplicações web que trabalham com informações críticas. Em paralelo a isso, os ataques que exploram as vulnerabilidades dessas aplicações também tem crescido. Esse cenário tem estimulado as empresas a investir em ferramentas para monitorar sua infraestrutura de rede, visando a detecção de atividades mal-intencionadas. Uma das principais ferramentas utilizadas pelas empresas para o monitoramento de suas infraestruturas de redes e identificação de ataques são os Sistemas de Detecção de Intrusão. No entanto, devido a expansão do volume de dados que trafegam nas redes de computadores, estes sistemas estão tornando-se limitados. Em contrapartida, pesquisadores têm explorado a construção de Internet Early Warning Systems para o monitoramento de atividades maliciosas na Internet. Este trabalho propõe a modelagem de dados de uma base de conhecimento para Internet Early Warning Systems. O modelo representa os dados de diferentes aspectos da rede com foco em eventos relacionados a detecção de intrusão, tais como: dados de alertas gerados por sistemas de detecção de intrusão, informações sobre medidas de respostas, estatísticas do tráfego e assinaturas de ataques já conhecidos. Um estudo de caso em uma infraestrutura de rede real demonstra a aplicabilidade do modelo de dados da base de conhecimento e permite identificar as vantagens de sua utilização. Além disso, os dados armazenados na base de conhecimento potencializam a construção de uma consciência situacional do ambiente monitorado, direcionando as atividades da equipe de segurança e auxiliando no processo de decisão de respostas a ataques em potencial.

In the currently highly competitive environment, the information systems of the businesses should not only effectively support the existing business processes, but also have to be dynamically adaptable to the changes in the environment. There are increasing efforts at separation of the application and the business logic in the information system. One of the appropriate instruments for this separation is the business rule approach. Business rules are simple, understandable rules. They can be used for the knowledge externalization and sharing also as for the active control and decisions within the business processes. Although the business rule approach is used for almost 20 years, the various specifications and practical applications of business rules are still a goal of the active research. The disadvantage of the business rule approach is great demands on obtaining of the rules. There has to be a domain expert, who is able to manually write them. One of the problems addressed by the current research is the possibility of (semi)automatic acquisition of business rules from the different resources - unstructured documents, historical data etc. This dissertation thesis addresses the problem of acquisition (learning) of business rules from the historical data of the company. The main objective of this thesis is to design and validate a method for (semi)automatic learning of business rules using the data mining of association rules. Association rule are a known data mining method for discovering of interesting relations hidden in the data. Association rules are comprehensible and explainable. The comprehensibility of association rules is suitable for the use of them for learning of business rules. For this purpose the user can use not only simple rules discovered using the algorithm Apriori or FP-Growth, but also more complex association rules discovered using the GUHA method. Within this thesis is used the procedure 4ft-Miner implemented in the data mining system LISp Miner. The first part of this thesis contains the description of the relevant topics from the research of business rules and association rules. Business rules is not a name of one specification of standard but rather a label of the approach to modelling of business logic. As part of the work there is defined a process of selection of the most appropriate specification of business rules for the selected practical use. Consequently, the author proposed three models of involving of data mining of association rules into business rule sets. These models contain also the definition of a model for the transformation of GUHA association rules in the business rules for the system JBoss Drools. For the possibility of learning of business rules using the data mining results from more than one data set, the author proposed a knowledge base. The knowledge base is suitable for the interconnection of business rules and data mining of association rules. From the perspective of business rules the knowledge base is a term dictionary. From the perspective of data mining the knowledge base contains some background knowledge for data preprocessing and preparation of classification models. The proposed models have been validated using practical implementations in the systems EasyMiner (in conjunction with JBoss Drools) and Erian. The thesis contains also a description of two model use cases based on real data from the field of marketing and the field of health insurance.

The steps associated with the analytical question solving in terms of LISp-Miner system in ADAMEK medical data are the theme of this thesis. The operating sequence of using 4ft-Miner and SD4ft-Miner procedures in ADAMEK data together with the possibility of further use of formalized background knowledge and preparing routing for automatization of the downrighted steps are the objectiv of this thesis. The summary of the basic concepts and axioms of association rules and GUHA method is the content of the theoretical part of the thesis. Operativ part starts from CRISP-DM methodology. The operating sequence enabling searching for interesting association rules in different data, that is applied on STULONG medical data afterwards in order to get instigations for it's revision, is the produce of this thesis. Used data that come from EuroMISE are concern with cardiological patients.

The ever-increasing use of the internet by terrorist groups as a platform for the dissemination of radical, violent ideologies is well documented. The internet has, in this way, become a breeding ground for potential lone-wolf terrorists; that is, individuals who commit acts of terror inspired by the ideological rhetoric emitted by terrorist organizations. These individuals are characterized by their lack of formal affiliation with terror organizations, making them difficult to intercept with traditional intelligence techniques. The radicalization of individuals on the internet poses a considerable threat to law enforcement and national security officials. This new medium of radicalization, however, also presents new opportunities for the interdiction of lone wolf terrorism. This dissertation is an account of the development and evaluation of an information technology (IT) framework for detecting potentially radicalized individuals on social media sites and Web fora. Unifying Collective Action Framing Theory (CAFT) and a radicalization model of lone wolf terrorism, this dissertation analyzes a corpus of propaganda documents produced by several, radically different, terror organizations. This analysis provides the building blocks to define a knowledge model of terrorist ideological framing that is implemented as a Semantic Web Ontology. Using several techniques for ontology guided information extraction, the resultant ontology can be accurately processed from textual data sources. This dissertation subsequently defines several techniques that leverage the populated ontological representation for automatically identifying individuals who are potentially radicalized to one or more terrorist ideologies based on their postings on social media and other Web fora. The dissertation also discusses how the ontology can be queried using intuitive structured query languages to infer triggering events in the news. The prototype system is evaluated in the context of classification and is shown to provide state of the art results. The main outputs of this research are (1) an ontological model of terrorist ideologies (2) an information extraction framework capable of identifying and extracting terrorist ideologies from text, (3) a classification methodology for classifying Web content as resonating the ideology of one or more terrorist groups and (4) a methodology for rapidly identifying news content of relevance to one or more terrorist groups.

The aim of this thesis is to implement a web interface for the LISp-Miner academic system which provides association rule mining capability. There is a new trend these days for knowledge discovery in databases applications which are being transformed from desktop applications to web applications and this arises both new opportunities and issues. This thesis describes new interactive approach for association rule mining in which the user is an essential part of the algorithm and can alter the task setting. Users can also collaborate by creating domain knowledge repository which helps finding new interesting information out of the data.

Velmi často je vyžadováno, aby automatizovaná zařízení byla jistým způsobem "inteligentní", tedy aby jejich řídicí systémy uměly emulovat rozhodovací proces. Tato diplomová práce poskytuje obecný formální popis vícehodnotových logických systémů schopných zmíněné emulace a jejich souvislost s teorií fuzzy množin. Jsou uvedeny způsoby vytváření matematických modelů založených na lingvistických datech. Dále se práce zabývá znalostními bázemi a jejich vlastnostmi. Součástí této práce je také počítačový program sloužící k tvorbě slovních modelů.

Le peuplement de base de connaissance (KBP) est une tâche importante qui présente de nombreux défis pour le traitement automatique des langues. L'objectif de cette tâche est d'extraire des connaissances de textes et de les structurer afin de compléter une base de connaissances. Nous nous sommes intéressés à la reconnaissance de relations entre entités. L'extraction de relations (RE) entre une paire de mentions d'entités est une tâche difficile en particulier pour les relations en domaine ouvert. Généralement, ces relations sont extraites en fonction des informations lexicales et syntaxiques au niveau de la phrase. Cependant, l'exploitation d'informations globales sur les entités n'a pas encore été explorée. Nous proposons d'extraire un graphe d'entités du corpus global et de calculer des caractéristiques sur ce graphe afin de capturer des indices des relations entre paires d'entités. Pour évaluer la pertinence des fonctionnalités proposées, nous les avons testées sur une tâche de validation de relation dont le but est de décider l'exactitude de relations extraites par différents systèmes. Les résultats expérimentaux montrent que les caractéristiques proposées conduisent à améliorer les résultats de l'état de l'art. / Knowledge Base Population (KBP) is an important and challenging task specially when it has to be done automatically. The objective of KBP task is to make a collection of facts of the world. A Knowledge Base (KB) contains different entities, relationships among them and various properties of the entities. Relation extraction (RE) between a pair of entity mentions from text plays a vital role in KBP task. RE is also a challenging task specially for open domain relations. Generally, relations are extracted based on the lexical and syntactical information at the sentence level. However, global information about known entities has not been explored yet for RE task. We propose to extract a graph of entities from the overall corpus and to compute features on this graph that are able to capture some evidence of holding relationships between a pair of entities. In order to evaluate the relevance of the proposed features, we tested them on a task of relation validation which examines the correctness of relations that are extracted by different RE systems. Experimental results show that the proposed features lead to outperforming the state-of-the-art system.