135 resultados para ONTOLOGIAS
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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The theory of classification must be committed to new approaches such as ontologies and collaborative classification. Therefore, it was conducted a research of exploratory and reflective aspects, in order to increase the understanding of the phenomenon and to get a greater familiarity with the problem, looking for its more precise delimitation. The reflection shows that it is still necessary to invest in the dialogical approach of knowledge organization tools and that it is necessary to rethink the studies on classification in the context of digital technologies, especially ontologies, which have aspects of derivation, though not always declared, from classification systems.
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Explores the concept of interoperability as a means of cooperation, stressing the importance of promoting them from consistent information policies. Highlights the dependence of interoperability to the variations of language that account for sociocultural differences and associates its realization to common ontology construction as a means of enabling structures that can be integrated. Emphasizes the importance of using categories to provide the entire organization and to facilitate access by offering support the process of categorizing on concrete terminologies of specific domains and areas of activity, discourse communities references or of the speeches actually made.
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The indexing process aims to represent synthetically the informational content of documents by a set of terms whose meanings indicate the themes or subjects treated by them. With the emergence of the Web, research in automatic indexing received major boost with the necessity of retrieving documents from this huge collection. The traditional indexing languages, used to translate the thematic content of documents in standardized terms, always proved efficient in manual indexing. Ontologies open new perspectives for research in automatic indexing, offering a computer-process able language restricted to a particular domain. The use of ontologies in the automatic indexing process allows using a specific domain language and a logical and conceptual framework to make inferences, and whose relations allow an expansion of the terms extracted directly from the text of the document. This paper presents techniques for the construction and use of ontologies in the automatic indexing process. We conclude that the use of ontologies in the indexing process allows to add not only new feature to the indexing process, but also allows us to think in new and advanced features in an information retrieval system.
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Não disponível
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Pós-graduação em Ciência da Informação - FFC
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Ciência da Computação - IBILCE
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Pós-graduação em Ciência da Computação - IBILCE
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Different vocabularies and contexts are barriers to the communication between people or software systems. It is necessary a common understanding in the domain that is talked about, so it can be obtained a correct interpretation of the information. An ontology formally models the structure of a domain and turn explicit the shared understanding in the form of concepts and relations that emerge from its observation. Constitutes a sort of framework used in the mapping to the meaning of the information that is talked about. The formal accuracy in which they are defined, by means of axioms, allow machine processing, implicating in systems interoperability. Structured this way, the knowledge is easily transferred between people or systems from different contexts. Ontologies present several applications nowadays. They are considered the infra-structure to the Semantic Web, which is composed by Web resources with embedded meaning. Thereby, the automatic execution of complex tasks is allowed, with the benefit from the effective communication between Web software agents. Among other applications, they also have been used to structure the knowledge generated from several areas, like Biology and Software Engineering.
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Pós-graduação em Ciência da Informação - FFC
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Pós-graduação em Ciência da Informação - FFC
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A pesquisa tem o objetivo de contribuir para os estudos relacionados ao desenvolvimento de software, mais especificamente à fase de levantamento de requisitos da Engenharia de Software, ao esclarecer como um método não muito popular, a construção de Ontologias de Domínio, pode ajudar na definição de requisitos de qualidade, que consequentemente contribuem para o sucesso de projetos de implementação de sistemas de informação.
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In the last decades, the oil, gas and petrochemical industries have registered a series of huge accidents. Influenced by this context, companies have felt the necessity of engaging themselves in processes to protect the external environment, which can be understood as an ecological concern. In the particular case of the nuclear industry, sustainable education and training, which depend too much on the quality and applicability of the knowledge base, have been considered key points on the safely application of this energy source. As a consequence, this research was motivated by the use of the ontology concept as a tool to improve the knowledge management in a refinery, through the representation of a fuel gas sweetening plant, mixing many pieces of information associated with its normal operation mode. In terms of methodology, this research can be classified as an applied and descriptive research, where many pieces of information were analysed, classified and interpreted to create the ontology of a real plant. The DEA plant modeling was performed according to its process flow diagram, piping and instrumentation diagrams, descriptive documents of its normal operation mode, and the list of all the alarms associated to the instruments, which were complemented by a non-structured interview with a specialist in that plant operation. The ontology was verified by comparing its descriptive diagrams with the original plant documents and discussing with other members of the researchers group. All the concepts applied in this research can be expanded to represent other plants in the same refinery or even in other kind of industry. An ontology can be considered a knowledge base that, because of its formal representation nature, can be applied as one of the elements to develop tools to navigate through the plant, simulate its behavior, diagnose faults, among other possibilities
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O processamento de linguagem natural e as ontologias são ferramentas cuja interação permite uma melhor compreensão dos dados armazenados. Este trabalho, ao associar estas duas áreas aos elementos disponíveis numa base de dados prosopográfica, tornou possível identificar e classificar relacionamentos entre setores de ocupação na forma como eram designados na época, setores de atividade num formato mais próximo do de hoje e o estatuto social que essas incumbências tinham na sociedade coeva. Os dados utilizados são sobretudo de membros do Santo Ofício – do século XVI ao século XVIII. Para atingir este objetivo utilizaram-se algumas descrições textuais de ocorrências da época e outras pouco estruturadas, disponíveis no repositório SPARES. A aplicação de processamento de linguagem natural (remoção de stopwords e aplicação de stemming), conjugada com a construção de duas ontologias, tornou possível classificar esses dados, permitindo consultas mais eficazes. Ao contribuir para a classificação automática de dados históricos, propõem-se metodologias que podem ser aplicadas em dados de qualquer outra área do conhecimento, especialmente as que lidam com as variáveis de tempo e espaço de forma mais intensa; Abstract: OntoSPARES: from natural language to ontologies Contributions to the automatic classification of historical data (16th-18th centuries) The interaction between the natural language processing and ontologies are tools allowing a better understanding of the data stored. This work, by combining these two areas to the elements available in a prosopographic database, has made possible to identify and classify relationships between occupations of many individuals (in general Holy Office members of the 16th-18th centuries). To achieve this goal the data used was gathered in SPARES repository, including some textual descriptions of the time occurrences. They are all few structured. The application of natural language processing (stopwords removal and stemming application), combined with the construction of two ontologies, made possible to classify those data, allowing a more effective search. By contributing to the automatic classification of historical data, this thesis proposes methodologies that can be applied to data from any other field of knowledge, specially data dealing with time and space variables.