INF - Instituto de Informática
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Navegando INF - Instituto de Informática por Por Área do CNPQ "CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::METODOLOGIA E TECNICAS DA COMPUTACAO::SISTEMAS DE INFORMACAO"
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Item Projeto InVision Framework: Um framework para suportar a criação e uso de jogos no ensino(Universidade Federal de Goiás, 2011-05-31) ALVES, Daniel Ferreira Monteiro; ALBUQUERQUE, Eduardo Simões de; http://lattes.cnpq.br/8181318469884254The number of people joining the Computer Science course, in the last years, is decreasing. Among those who enter, just a few are able to graduate, because there is a great retention rate and dropout, particularly among the introductory courses in algorithms and programming. The use of games as a motivational factor is a subject much studied in recent years, achieving good results for this problem. However, for the implementation of games in education, using a constructionist approach, students are required to build games. Several tools are available for this job, but there is a big difference in usability between the educational tools (that focus on educational programming) and those specific for creating games. This work proposes a framework for building games, being supported by an extensible application through scripts which allow it to be adapted for use in various disciplines throughout the course, and not only in introductory courses.Item Uma Metodologia para Mineração de Regras de Associação Usando Ontologias para Integração de Dados Estruturados e Não-Estruturados(Universidade Federal de Goiás, 2010-08-23) CAMILO, Cassio Oliveira; SILVA, João Carlos da; http://lattes.cnpq.br/7281746801238526Data and text mining methods have been applied in several areas of knowledge with the purpose of extracting useful information from large data volumes. Among the various data mining methods reported by specialized literature, association rule mining has proved useful in producing understandable rules. However, one of its major problems is the significant amount of rules produced, which hampers the selection of the more relevant rules needed to reply to a query. This study proposes a method for mining data from structured and unstructured sources in order to generate association rules between the terms extracted. The process of mining data from unstructured sources is assisted by an ontology that maps knowledge from a specific domain. The result of such process is converted into structured data and combined with data from other structured sources. A combination of objective and subjective interest measures is used to filter the set of rules obtained, in addition to support and confidence model. To verify the feasibility of this method in real-life situations, it was applied to a database of police occurrence reports of a government institution, which included data stored in structured and unstructured sources.Item Metadados de Bancos de Dados Relacionais: Extração e Exposição com o Protocolo OAI-PMH(Universidade Federal de Goiás, 2011-09-11) KOWATA, Elisabete Tomomi; SILVA, João Carlos da; http://lattes.cnpq.br/7281746801238526Information about a particular subject can be stored in different repositories such as databases, digital libraries, spreadsheets, text files, web pages etc. In this context of heterogeneous data sources, to query, possibly in natural language, to integrate information and to promote interoperability are tasks that depend, among other factors, on the prior knowledge that an user has regarding location, owner, content description of each information source etc. More specifically, in the case of database, this information are not usually stored in a catalogue of the database management system and to obtain is necessary to resort to the administrator s knowledge database. Another factor is the absence of search engines to databases in the web that access and make available the information in those repositories, data are limited due to the organizations themselves. In a shared information environment, it is highly relevant to make possible access to metadata that describe a data source, regardlessly of the device and format in which is stored. This study aims to describe a mechanism to promote interoperability of relational databases with other sources of information through the extraction and exposing of metadata using OAI-PMHItem Melhoria de processos de tecnologia da informação multi-modelo(Universidade Federal de Goiás, 2010-04-16) MENDES, Fabiana Freitas; OLIVEIRA, Juliano Lopes de; http://lattes.cnpq.br/8890030829542444To use just one quality model in a Information Technology Process Improvement (ITPI) iniciative means just one: language, thought about how to fit organization needs, and way to conduct improvements and appraisals. Despite, to use just one model also means it could exist other ways to deal with ITIPI needs, but this is not going to be considered. To use more than one model, hence, means to model a best solution. Mono-Model ITPI initiatives have similar nature if compared with multi-model initiatives. However, there are multi-model specific challenges like: integration of improvement initiatives, of appraisals, and of quality model. Despite of being possible to model better solutions through multi model ITPI, there are little works about it. This research review works related to this subject, presents challenges multi-model list, and comes up with an approach to deal with these challenges. This approach has the advantage to be independent of the conduct method of improvement, quality model or project improvement phase.Item Recuperação Contextualizada de Documentos Integrados pelo Protocolo OAI-PMH(Universidade Federal de Goiás, 2010-04-09) OLIVEIRA, Renan Rodrigues de; CARVALHO, Cedric Luiz de; http://lattes.cnpq.br/4090131106212286This work focuses on two aspects: the integration of a set of digital libraries, repositories and other data providers through the OAI-PMH protocol (Open Archives Initiative Protocol for Metadata Harvesting) and contextualized documents retrieval in this integrated repository. It is proposed the use of ontologies and content analysis of articles in wiki environments in the context definition. The interest in ontologies is in its use as artifacts of specification domain. An ontology is a data model that represents a set of concepts and their relationships within a domain of knowledge. A wiki is a collaborative environment, containing a collection of items connected by hyperlinks, which can be edited collectively by using a web browser. In this work, the wiki environments are used as an auxiliary repository of knowledge to the extraction of relevant terms. Thus, several concepts and relationships that may not be present in the ontology that specifies the domain of knowledge (since the construction of ontologies is a complex process) can be identified. The result of the developed tool processing is a ranking of documents ordered by a higher degree of importance with respect to the query provided by a user and a particular domain of knowledge, which is specified by an ontology.Item ServiçosWeb Semânticos Baseados em RESTful Um Estudo de Caso em Redes Sociais Online(Universidade Federal de Goiás, 2011-09-26) XAVIER, Otávio Calaça; CARVALHO, Cedric Luiz de; http://lattes.cnpq.br/4090131106212286The researches on Semantic Web Services are aimed, mostly, the SOAP architecture. This architecture is rarely used in Web 2.0 and therefore in Online Social Networks. This dissertation presents an approach for practical implementation of semantic descriptions in RESTfulWeb Services. It is a simplified architecture that gained much focus onWeb 2.0, increasingly replacing the SOAP architecture. The development of the tool, presented here, will fill a gap in the process of implanting the Semantic Web. Existing solutions expose a theoretical view and have no practical implementations. The solution proposed in this paper, relates existing standards and technologies to develop an integrated and free tool. From which, services of a popular Online Social Network are described. Finally, the automatic discovery, composition and invocation of such services are made.