Dissertação (mestrado)—Universidade de Brasília, Faculdade Gama, Programa de Pós-Graduação em Engenharia Biomédica, 2017. / Submitted by Fernanda Percia França (fernandafranca@bce.unb.br) on 2017-05-11T17:09:26Z No. of bitstreams: 1 2017_HendersonMatsuuraSanches.pdf: 3859884 bytes, checksum: 321d23329465fde2ebd5422eaa30e5a4 (MD5) / Approved for entry into archive by Raquel Viana (raquelviana@bce.unb.br) on 2017-05-16T21:37:03Z (GMT) No. of bitstreams: 1 2017_HendersonMatsuuraSanches.pdf: 3859884 bytes, checksum: 321d23329465fde2ebd5422eaa30e5a4 (MD5) / Made available in DSpace on 2017-05-16T21:37:03Z (GMT). No. of bitstreams: 1 2017_HendersonMatsuuraSanches.pdf: 3859884 bytes, checksum: 321d23329465fde2ebd5422eaa30e5a4 (MD5) Previous issue date: 2017-05-16 / O objetivo desse trabalho foi a construção de um modelo ontológico da Neoplasia Mamária (NM) denominado ONTO-MAMA-NM. Esse modelo é uma ferramenta importante para auxiliar especialistas e estudantes da área da saúde no tratamento do câncer de mama. O modelo ontológico foi criado na linguagem Web Ontology Language (OWL), cuja principal vantagem é a facilidade para expressar significados e semântica e aplicabilidade no processo de informações de forma automatizada. Por se tratar de um modelo aplicado à área médica, o ONTO-MANA-NM procura manter a compatibilidade com os padrões Digital Imaging and Communications in Medicine (DICOM) e Health Level Seven International (HL7), de modo a preservar a interoperabilidade das informações dos pacientes em ambientes hospitalares. Como resultado, obteve-se um detalhamento da ontologia desenvolvida e implementada no software Protégé 5.1 com o apoio da metodologia denominada de Methontology. Foi descrito todo o processo de desenvolvimento, desde a coleta de dados até a validação final do modelo junto aos especialistas. Sendo assim, foi avaliado em duas etapas, isto é, primeiramente pelos especialistas: fisioterapeutas, médicos, residentes e alunos da fisioterapia e medicina do HUB. Ao final do processo da validação do ONTO-MAMANM, informaram que desconheciam a ontologia e não tinham visto nada semelhante referente ao tratamento da NM, obtendo assim o primeiro modelo ontológico do tratamento da NM. / The aim of this work was the development of a Mammary Neoplasia (NM) ontological model called ONTOMAMA- NM. This model is a relevant tool to assist experts and students of the health area in the treatment of breast cancer. The ontological model was implemented in the Web Ontology Language (OWL) language, whose main advantage is the facility to express meanings, semantics and applicability in the information process in an automated way. As a model applied to the medical field, ONTO-MANA-NM seeks to maintain compatibility with the Digital Imaging and Communications in Medicine (DICOM) and Health Level Seven International (HL7) standards, in order to preserve the interoperability of patients information in hospital environments. As a result, it was developed a detailed ontology and implemented in Protégé 5.1 software with the support of the methodology called as Methontology. The final development process was described since the data collection until the final validation of the model with the experts. Thus, it was evaluated in two stages, that is, firstly by the specialists: physiotherapists, physicians, residents and students of physiotherapy and HUB medicine. At the end of the ONTO-MAMA-NM validation process, they reported that they did not know about the ontology and had not seen anything similar regarding NM treatment, thus obtaining the first ontological model of NM treatment.

Dissertação (mestrado)—Universidade de Brasília, Instituto de Ciências Exatas, Departamento de Ciência da Computação, Programa de Pós-Graducação em Informática, 2016. / Submitted by Fernanda Percia França (fernandafranca@bce.unb.br) on 2016-08-15T19:28:04Z No. of bitstreams: 1 2016_LaécioLimadosSantos.pdf: 8101789 bytes, checksum: cfa3494dd6c9cb6bcef19bad2ae8150d (MD5) / Approved for entry into archive by Raquel Viana(raquelviana@bce.unb.br) on 2016-10-11T21:17:42Z (GMT) No. of bitstreams: 1 2016_LaécioLimadosSantos.pdf: 8101789 bytes, checksum: cfa3494dd6c9cb6bcef19bad2ae8150d (MD5) / Made available in DSpace on 2016-10-11T21:17:42Z (GMT). No. of bitstreams: 1 2016_LaécioLimadosSantos.pdf: 8101789 bytes, checksum: cfa3494dd6c9cb6bcef19bad2ae8150d (MD5) / A Web Semântica (WS) adiciona informações semânticas a Web tradicional, permitindo que os computadores entendam conteúdos antes acessíveis apenas aos humanos. A Ontology Web Language (OWL), linguagem padrão para criação de ontologias na WS, se baseia em lógica descritiva para permitir uma modelagem formal de um domínio de conhecimento. A OWL, no entanto, não possui suporte para tratamento de incerteza, presente em diversas situações, o que motivou o estudo de várias alternativas para tratar este problema. O Probabilistic OWL (PR-OWL) adiciona suporte à incerteza ao OWL utilizando Multi-Entity Bayesian Networks (MEBN), uma linguagem probabilística de primeira ordem. A inferência no MEBN ocorre através da geração de uma rede bayesiana específica de situação (SSBN). O PR-OWL 2 estende a linguagem original oferecendo uma maior integração com o OWL e permitindo a construção de ontologias que mesclam conhecimento determinístico e probabilístico. PR-OWL não permite lidar com domínios que contenham bases assertivas muito grandes. Isto se deve a alta complexidade computacional da lógica descritiva na qual a OWL é baseada e ao fato de que as máquinas de inferência utilizadas nas implementações das versões do PR-OWL requerem que a base assertiva esteja carregada em memória. O presente trabalho propõe o PR-OWL 2 RL, uma versão escalável do PR-OWL baseada no profile OWL 2 RL e em triplestores. O OWL 2 RL permite raciocínio em tempo polinomial para as principais tarefas de inferência. Triplestores permitem armazenar triplas RDF (Resource Description Framework) em bancos de dados otimizados para trabalhar com grafos. Para permitir a geração de SSBN para bases contendo muitas evidências, este trabalho propõe um novo algoritmo, escalável ao instanciar nós de evidência apenas caso eles influenciem o nó objetivo. O plug-in PR-OWL 2 RL para o framework UnBBayes foi desenvolvido para permitir uma avaliação experimental dos algoritmos propostos. O estudo de caso abordado foi o de fraudes em licitações públicas. _______________________________________________________________________________________________ ABSTRACT / Semantic Web (SW) adds semantic information to the traditional Web, allowing computers to understand content before accessible only by human beings. The Web Ontology Language (OWL), main language for building ontologies in SW, allows a formal modeling of a knowledge domain based on description logics. OWL, however, does not support uncertainty. This restriction motivated the creation of several extensions of this language. Probabilistic OWL (PROWL) improves OWL with the ability to treat uncertainty using Multi-Entity Bayesian Networks (MEBN). MEBN is a first-order probabilistic logic. Its inference consists of generating a Situation Specific Bayesian Network (SSBN). PR-OWL 2 extends the PR-OWL offering a better integration with OWL and its underlying logic, allowing the creation of ontologies with deterministic and probabilistic parts. PR-OWL, however, does not deal with very large assertive bases. This is due to the high computational complexity of the description logic of OWL. Another fact is that reasoners used in PR-OWL implementation require that the data be fully load into memory at the time of inference. To address this issue, this work proposes PR-OWL 2 RL, a scalable version of PR-OWL based on OWL 2 RL profile and on triplestores. OWL 2 RL allows reasoning in polynomial time for the main reasoning tasks. Triplestores can store RDF (Resource Description Framework) triples in databases optimized to work with graphs. To allow the generation of SSBNs for databases with large evidence base, this work proposes a new algorithm that is scalable because it instantiates an evidence node only if it influence a target node. A plug-in for the UnBBayes framework was developed to allow an empirical evaluation of the new algorithms proposed. A case study over frauds into procurements was carried on.

This thesis describes an information extraction system that is designed to process free text Turkish radiology reports in order to extract and convert the available information into a structured information model. The system uses natural language processing techniques together with domain ontology in order to transform the verbal descriptions into a target information model, so that they can be used for computational purposes. The developed domain ontology is effectively used in entity recognition and relation extraction phases of the information extraction task. The ontology provides the flexibility in the design of extraction rules, and the structure of the ontology also determines the information model that describes the structure of the extracted semantic information. In addition, some of the missing terms in the sentences are identified with the help of the ontology. One of the main contributions of this thesis is the usage of ontology in information extraction that increases the expressive power of extraction rules and helps to determine missing items in the sentences. The system is the first information extraction system for Turkish texts. Since Turkish is a morphologically rich language, the system uses a morphological analyzer and the extraction rules are also based on the morphological features. TRIES achieved 93% recall and 98% precision results in the performance evaluations.

In this thesis, an ontology for the mineral exploration domain is designed and developed applying the Protégé ontology editor. The MinExOnt ontology includes a formal and explicit representation of the terms describing real objects, activities, and processes in mineral exploration. The stages used for these activities have various vocabularies, which are semantically modeled in this ontology with Web Ontology Language (OWL). The aim of the thesis is to show how ontologies can be designed and developed to help manage and represent geological knowledge. In addition to providing a general workflow for building the ontology, this thesis presents a simple user guide for the used software, including Protégé, used for ontology development, and Knoodl-OntVis, used for OWL visualization.

The development of standard models for describing general lexical resources has led to the emergence of numerous lexical datasets of various languages in the Semantic Web. However, there are no models that describe the domain of Morphology in a similar manner. As a result, there are hardly any language resources of morphemic data available in RDF to date. This paper presents the creation of the Hebrew Morpheme Inventory from a manually compiled tabular dataset comprising around 52.000 entries. It is an ongoing effort of representing the lexemes, word-forms and morphologigal patterns together with their underlying relations based on the newly created Multilingual Morpheme Ontology (MMoOn). It will be shown how segmented Hebrew language data can be granularly described in a Linked Data format, thus, serving as an exemplary case for creating morpheme inventories of any inflectional language with MMoOn. The resulting dataset is described a) according to the structure of the underlying data format, b) with respect to the Hebrew language characteristic of building word-forms directly from roots, c) by exemplifying how inflectional information is realized and d) with regard to its enrichment with external links to sense resources.

Im heutigen Zeitalter erwarten Kunden kürzere Produkt- und Dienstleistungsentwicklungszyklen als je zuvor. Unternehmen, die diesem Trend standhalten wollen, müssen folglich auf Innovationen setzen und ihre Innovationsfähigkeit zu einer Kernkompetenz ausbauen. Ein Innovationsprozess, der ein Vorgehensmodell zur Steigerung der Innovationsfähigkeit aufzeigt, beginnt mit der Ideen-generierungsphase. In dieser Phase werden im klassischen Innovationsprozess überwiegend unternehmensinterne Quellen genutzt, um Ideen zu generieren. Tatsächlich werden aber auf dieser Quellenbasis vermehrt Produkte und Dienstleistungen am Kundenbedürfnis vorbei entwickelt. Mit dem Open-Innovation-Ansatz kann eine Verbesserung der Innovationsfähigkeit von Unternehmen durch die Einbindung unternehmensexterner Quellen in den Innovationsprozess erzielt werden. Im Social Web, einer bedeutenden externen Quelle, werden große Mengen an Informationen erzeugt, die für den Innovationsprozess verwendet werden könnten, jedoch werden diese in heutigen Innovationsansätzen nicht oder kaum genutzt. Mit der vorliegenden Arbeit sollen mehrere Beiträge zur Adressierung dieser Problematik geleistet werden. Unter anderem werden etablierte Innovationsprozesse und aktuelle Methoden im Bereich der Ideengenerierung untersucht und miteinander verglichen. Im Rahmen einer Studie werden zudem die Datenstrukturen, Merkmale und Beschaffungsmöglichkeiten von Social-Web-Daten erforscht. Dabei bestätigt sich die These, dass aktuelle Ansätze verfügbare Social-Web-Daten nur rudimentär berücksichtigen. Auf Basis der gewonnenen Erkenntnisse wird darüber hinaus ein generisches Datenmodell entwickelt, das grundlegende Entitäten und Relationen diverser Ausprägungen von Social-Web-Daten abbildet. In diesem Zusammenhang wird aufgezeigt, dass semantische Technologien zur Generierung neuen Produktinnovationswissens überaus nützlich sind. Der Schwerpunkt der Forschungsarbeit liegt daher auf der Nutzung semantischer Technologien zur Verbesserung des Innovationsprozesses, insbesondere im Prozessschritt der Ideation. Die Produkt-, Ideen- und Social-Web-Domäne wird formal in einer neuartigen generischen Ontologie beschrieben, die es erlaubt, axiomatisch auf Basis der Web Ontology Language (OWL) neues Produktinnovationswissen aus dem Social Web zu erschließen und für nachgelagerte Innovationsmanagementsysteme maschinen-interpretierbar bereitzustellen. Anhand einer prototypischen Umsetzung kann die Machbarkeit des eigenen Ansatzes nachgewiesen werden. Dabei wird auch ersichtlich, dass der vorgestellte Lösungsansatz den aktuellen Stand der Technik hinsichtlich der Ideenerkennungsrate übersteigt.

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Made available in DSpace on 2016-04-25T16:44:44Z (GMT). No. of bitstreams: 1 Marilda Schiller de Moraes.pdf: 2077674 bytes, checksum: 85683f79e158bd4fe193bcf41b45adf2 (MD5) Previous issue date: 2015-09-17 / This study s main goal is to identify how the use of Ontological Coaching, based on the Ontology of Language, can facilitate communication and assist in building healthy and productive environments within companies. In the universe of organizations the communication issue has great importance, because it is through the instructions and exchange of informations that are developed all the actions needed for the effectuation of processes, and respective development of products. So, we inhabit a linguistic world, in which the word, in special the spoken word, becomes the instrument by excellence of the executive s action, the essencial way to get in touch with others and to obtain results. Nonetheless, the administrative language, featured by short, direct, and many times urgent commands, tends to complicate the communication inside the companies. Assuming that a reflexive posture allows comprehension to deep personal transformations and that the realization of sensitization workshops may facilitate the processes of communication, motivation and leadership, transforming people into enabling vectors for the generation of a productive and wholesome environment in the organization, it was done a research with 141 professionals of the Hospital das Clínicas of Campo Limpo Paulista (HCCLP). Taking into account the main goal of the study, meetings of Ontogical Coaching took place, with 7 professionals responsible for the management of the referred institution, along with sensitization workshops, about Human Dynamics and Conversational Skills, for the 141 professionals allocated in the sectors of Reception and Nursing of the HCCLP. To enable the comparison of observable behaviours, there were developed two researches with quantitave approaches and two researches with qualitative approaches, based on Survey interviews, before and after the interventions, which made possible the mapping of the effectiveness of the use of sensitization methodology and the contribution of Ontological Coaching to Hospital Management. The results of the quantitative research indicated a growth of 0,4% in the perception of Communication between the sections of the institution, reflecting on a growth of 3,0% on the perception of employee s Motivation, despite the reduction of -0,7% in the perception of the teams on Leadership. Isolating of these percentuals the evaluation done by the employees from the management area, which went throught the Coaching, a significant improvement on Motivation, Communication and Leadership dimensions could be perceived, with positive evaluation percentuals of 17,5%, 17,1% and 14,5%, respectively, in the period comprehended between the two researches. In that same way, by evaluating the statements resultant of the qualitative research interviews, a lot of testimonials were observed claiming that the Coaching meetings and the workshops brought important contributions to the professionals holders of the management positions, along with the improvement in the communication between the teams allocated in the Reception and Nursing sectors. That being, the conclusion is that the exercise of the Ontological Coaching has a lot to contribute with Hospital Management / O presente estudo tem como objetivo principal identificar o quanto a utilização do Coaching Ontológico, fundamentado na Ontologia da Linguagem, pode facilitar a comunicação e auxiliar na construção de ambientes saudáveis e produtivos dentro das empresas. No universo das organizações a questão da comunicação tem grande importância, pois é por meio das instruções e das informações trocadas que se desenvolvem todas as ações necessárias para a efetivação dos processos e respectivo desenvolvimento dos produtos da empresa, ou seja, habitamos um mundo linguístico, no qual a palavra e, em especial a fala, torna-se o instrumento por excelência da ação do executivo, o meio essencial para entrar em contato com os outros e para obter resultados. No entanto, a linguagem administrativa, caracterizada por comandos curtos, diretos e muitas vezes urgentes, acaba por dificultar a comunicação dentro das empresas. Partindo da premissa de que uma postura reflexiva permite compreensão para profundas transformações pessoais, e que a realização de oficinas de sensibilização pode facilitar os processos de comunicação, motivação e liderança, transformando-os em vetores facilitadores para a geração de um ambiente produtivo e de bem-estar na organização, foi realizada uma pesquisa-ação, com 141 profissionais do Hospital de Clínicas de Campo Limpo Paulista (HCCLP). Levando em consideração o objetivo do presente estudo, foram realizadas reuniões de Coaching Ontológico, com 7 profissionais responsáveis pela gestão da referida instituição, e realizadas oficinas de sensibilização, sobre Dinâmicas Humanas e sobre Competências Conversacionais, para os 141 profissionais alocados nos setores de Recepção e de Enfermagem do HCCLP. Para tornar possível a comparação de comportamentos observáveis, foram realizadas duas pesquisas com abordagens quantitativas e duas pesquisas com abordagens qualitativas, com entrevistas do tipo Survey, antes e depois das intervenções, que permitiram mapear a efetividade do uso das metodologias de sensibilização e da contribuição do Coaching Ontológico na Gestão Hospitalar. Os resultados da pesquisa quantitativa mostraram crescimento de 0,4% na percepção sobre a Comunicação entre os setores da instituição, refletindo em um crescimento de 3,0% na percepção sobre a Motivação dos funcionários, apesar da redução em -0,7% na percepção das equipes sobre a Liderança. Isolando desses percentuais a avaliação efetuada pelos funcionários da área de Gestão, que passaram pelo processo de Coaching, percebe-se significativa melhora de percepção sobre as dimensões de Motivação, Comunicação e Liderança, com percentuais de avaliação positivos em 17,5%, 17,1% e 14,5%, respectivamente, no período compreendido entre as duas pesquisas. Da mesma forma, ao avaliar as declarações resultantes das entrevistas da pesquisa qualitativa, pode-se identificar vários depoimentos que afirmam que as reuniões de Coaching e as oficinas de sensibilização trouxeram importantes contribuições para os profissionais detentores de cargos de Gestão, além de melhora na comunicação entre as equipes alocadas nos setores da Recepção e da Enfermagem. Assim sendo, conclui-se que a prática do Coaching Ontológico tem muito a contribuir com a Gestão Hospitalar

M. Tech. (Department of Information & Communication Technology, Faculty of Applied and Computer Sciences), Vaal University of Technology. / Many studies have evaluated and compared the existing open-sources Semantic Web platforms for ontologies development. However, none of these studies have included the dot NET-based semantic web platforms in the empirical investigations. This study conducted a comparative analysis of open-source and dot NET-based semantic web platforms for ontologies development. Two popular dot NET-based semantic web platforms, namely, SemWeb.NET and dotNetRDF were analyzed and compared against open-source environments including Jena Application Programming Interface (API), Protégé and RDF4J also known as Sesame Software Development Kit (SDK). Various metrics such as storage mode, query support, consistency checking, interoperability with other tools, and many more were used to compare two categories of platforms. Five ontologies of different sizes are used in the experiments. The experimental results showed that the open-source platforms provide more facilities for creating, storing and processing ontologies compared to the dot NET-based tools. Furthermore, the experiments revealed that Protégé and RDF4J open-source and dotNetRDF platforms provide both graphical user interface (GUI) and command line interface for ontologies processing, whereas, Jena open-source and SemWeb.NET are command line platforms. Moreover, the results showed that the open-source platforms are capable of processing multiple ontologies’ files formats including Resource Description Framework (RDF) and Ontology Web Language (OWL) formats, whereas, the dot NET-based tools only process RDF ontologies. Finally, the experiment results indicate that the dot NET-based platforms have limited memory size as they failed to load and query large ontologies compared to open-source environments.