Дисертації з теми "Ontologies (artificial intelligence)"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся з топ-50 дисертацій для дослідження на тему "Ontologies (artificial intelligence)".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Переглядайте дисертації для різних дисциплін та оформлюйте правильно вашу бібліографію.
Tamma, Valentina A. M. "An ontology model supporting multiple ontologies for knowledge sharing." Thesis, University of Liverpool, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.250548.
Повний текст джерелаGandon, Fabien. "Distributed artificial intelligence and knowledge management : ontologies and multi-agent systems for a corporate semantic web." Nice, 2002. http://www.theses.fr/2002NICE5773.
Повний текст джерелаCe travail concerne les systèmes multi-agents pour la gestion d'un web sémantique d'entreprise basé sur une ontologie. Il a été effectué dans le cadre du projet Européen CoMMA se focalisant sur deux scénarios d'application: l'assistance aux activités de veille technologique et l'aide à l'insertion d'un nouvel employé dans une organisation. Trois aspects ont essentiellement été développés dans ce travail: la conception d'une architecture multi-agents assistant les deux scénarios, et l'approche organisationnelle descendante adoptée pour identifier les sociétés, les rôles et les interactions des agents. La construction de l'ontologie O'CoMMA et la structuration de la mémoire organisationnelle en exploitant les technologies du Web sémantique. La conception et l'implantation (a) des sous-sociétés d'agents chargées de la maintenance des annotations et de l'ontologie et (b) des protocoles supportant ces deux groupes d'agents, en particulier des techniques pour la distribution des annotations et des requêtes entre les agents
Bate, Andrew. "Consequence-based reasoning for SRIQ ontologies." Thesis, University of Oxford, 2016. https://ora.ox.ac.uk/objects/uuid:6b35e7d0-199c-4db9-ac8a-7f78256e5fb8.
Повний текст джерелаMarinica, Claudia. "Association Rule Interactive Post-processing using Rule Schemas and Ontologies - ARIPSO." Phd thesis, Université de Nantes, 2010. http://tel.archives-ouvertes.fr/tel-00912580.
Повний текст джерелаMarinica, Claudia. "Association Rule Interactive Post-processing using Rule Schemas and Ontologies : aripso." Phd thesis, Nantes, 2010. https://archive.bu.univ-nantes.fr/pollux/show/show?id=90a57cc4-245f-420d-ac2b-f9ad7929e0f7.
Повний текст джерелаThis thesis is concerned with the merging of two active research domains: Knowledge Discovery in Databases - Association Rule Mining technique, and Knowledge Engineering - representation languages of Semantic Web. The usefulness of association rule technique is strongly limited by the huge amount and the low quality of delivered rules. To overcome this drawback, several methods have been proposed in the literature such as itemset concise representations, redundancy reduction, filtering, ranking and post-processing, and most of them are based on data structure. However, rule interestingness strongly depends on user knowledge and goals. In this context, it is crucial to help the user with an efficient technique to reduce the number of rules while keeping interesting ones. This work addresses two main issues: the integration of user knowledge in the discovery process and the interactivity with the user. The first issue requires an accurate and flexible formalism to express user knowledge such as ontologies in the Semantic Web. The second one proposes a more iterative mining process allowing the user to explore the rule space incrementally focusing on interesting rules. The main contributions of this work can be summarized as follows: (i) A model to represent user knowledge. First, we propose to represent user domain knowledge by means of ontologies. Second, we develop a new formalism, called "Rule Schema", which allows the user to define his/her expectations throughout ontology concepts. Last, we suggest the user a set of "mining Operators" to be applied over Rule Schemas. (ii) A new post-processing approach, ARJPSO. Lt allows the user to reduce the volume of the discovered rules by keeping only the interesting rules. ARIPSO is an interactive process integrating user knowledge by means of the proposed model. The interactive loop allows at each step the user to change the provided information and to reiterate the post-processing phase. (iii) The implementation in post-processing of ARJPSO. The developed tool is complete and operational, and it implements all the functionalities described in the approach. An alternative implementation, without post-processing, was proposed (ARLIUS). It consists in an interactive local mining process. (iv) An experimental study analyzing the approach efficiency and the discovered rule quality. For this purpose, we used a large real-life database; for ARJPSO, the experimentation was carried out in complete cooperation with the domain expert. From an input set of nearly 400 thousand rules, for different scenarios, ARIPSO filtered between 3 and 200 rules validated by the expert
Gherasim, Toader. "Détection de problèmes de qualité dans les ontologies construites automatiquement à partir de textes." Phd thesis, Université de Nantes, 2013. http://tel.archives-ouvertes.fr/tel-00982126.
Повний текст джерелаFortineau, Virginie. "Contribution à une modélisation ontologique des informations tout au long du cycle de vie du produit." Phd thesis, Ecole nationale supérieure d'arts et métiers - ENSAM, 2013. http://pastel.archives-ouvertes.fr/pastel-01064598.
Повний текст джерелаAimé, Xavier. "Gradients de prototypicalité, mesures de similarité et de proximité sémantique : une contribution à l'Ingénierie des Ontologies." Phd thesis, Université de Nantes, 2011. http://tel.archives-ouvertes.fr/tel-00660916.
Повний текст джерелаChniti, Amina. "Gestion des dépendances et des interactions entre Ontologies et Règles Métier." Phd thesis, Université Pierre et Marie Curie - Paris VI, 2013. http://tel.archives-ouvertes.fr/tel-00820671.
Повний текст джерелаGong, Jian, and 龔劍. "Managing uncertainty in schema matchings." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B46076116.
Повний текст джерелаStefanoni, Giorgio. "Evaluating conjunctive and graph queries over the EL profile of OWL 2." Thesis, University of Oxford, 2015. https://ora.ox.ac.uk/objects/uuid:232978e9-90a2-41cc-afd5-319518296894.
Повний текст джерелаSilva, Eunice Palmeira da. "Classificação de informação usando ontologias." Universidade Federal de Alagoas, 2006. http://repositorio.ufal.br/handle/riufal/852.
Повний текст джерелаCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
Apesar dos aspectos positivos que a Internet possui e do potencial que permite, existe a problemática, que consiste em encontrar a informação necessária em meio a uma enorme quantidade de documentos disponíveis na rede. Faltam, ainda, ferramentas capazes de tratar semanticamente a informação contida em documentos que seguem uma estrutura preocupada apenas com a exibição dos seus dados. O sistema MASTERWeb, resolve o problema da extração integrada de páginas-conteúdo pertencentes às classes que integram um grupo (cluster ). Neste contexto propomos a extensão dessa ferramenta para a classificação de artigos científicos baseada em ontologias. Para isso foi construída uma ontologia do domínio de Inteligência Artificial e adotadas estratégias de classificação utilizando sistemas de regras. A abordagem apresentada aqui, emprega esta ontologia e técnicas de classificação textual para extrair dos artigos informações úteis, e daí inferir sobre os temas tratados nestes artigos. Essa combinação conduziu a resultados bastante significativos: por exemplo, o sistema é capaz de identificar no texto as subáreas de IA que ele aborda e deriva conclusões, distinguindo os assuntos tratados pelo artigo daqueles que são brevemente citados no texto. A aplicação de técnicas simples e uma ontologia bem formada levam a resultados de classificação promissores, independentemente da estrutura do documento, propondo uma solução eficiente e plausível.
Armas, Romero Ana. "Ontology module extraction and applications to ontology classification." Thesis, University of Oxford, 2015. http://ora.ox.ac.uk/objects/uuid:4ec888f4-b7c0-4080-9d9a-3c46c91f67e3.
Повний текст джерелаRickels, Christopher A. "Inherited Ontologies and the Relations between Philosophy of Mind and the Empirical Cognitive Sciences." University of Toledo / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1365012314.
Повний текст джерелаLemaignan, Séverin. "Ancrer l'interaction: Gestion des connaissances pour la robotique interactive." Phd thesis, INSA de Toulouse, 2012. http://tel.archives-ouvertes.fr/tel-00728775.
Повний текст джерелаCoursey, Kino High. "An Approach Towards Self-Supervised Classification Using Cyc." Thesis, University of North Texas, 2006. https://digital.library.unt.edu/ark:/67531/metadc5470/.
Повний текст джерелаChahuara, Pedro. "Contrôle intelligent de la domotique à partir d'informations temporelles multisources imprécises et incertaines." Phd thesis, Université de Grenoble, 2013. http://tel.archives-ouvertes.fr/tel-00956372.
Повний текст джерелаRocher, Swan. "Querying existential rule knowledge bases : decidability and complexity." Thesis, Montpellier, 2016. http://www.theses.fr/2016MONTT291/document.
Повний текст джерелаIn this thesis we investigate the issue of querying knowledge bases composed of data and general background knowledge, called an ontology. Ontological knowledge can be represented under different formalisms and we consider here a fragment of first-order logic called existential rules (also known as tuple-generating dependencies and Datalog+/-).The fundamental entailment problem at the core of this thesis asks if a conjunctive query is entailed by an existential rule knowledge base. General existential rules are highly expressive, however at the cost of undecidability. Various restrictions on sets of rules have been proposed to regain the decidability of the entailment problem.Our specific contribution is two-fold. First, we propose a new tool that allows to unify and extend most of the known existential rule classes that rely on acyclicity conditions to tame infinite forward chaining, without increasing the complexity of the acyclicity recognition. Second, we study the compatibility of known decidable rule classes with a frequently required modeling construct, namely transitivity of binary relations. We help clarifying the picture of negative and positive results on this question, and provide a technique to safely combine transitivity with one of the simplest, yet useful, decidable rule classes, namely linear rules
Ferré, Arnaud. "Représentations vectorielles et apprentissage automatique pour l’alignement d’entités textuelles et de concepts d’ontologie : application à la biologie." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLS117/document.
Повний текст джерелаThe impressive increase in the quantity of textual data makes it difficult today to analyze them without the assistance of tools. However, a text written in natural language is unstructured data, i.e. it cannot be interpreted by a specialized computer program, without which the information in the texts remains largely under-exploited. Among the tools for automatic extraction of information from text, we are interested in automatic text interpretation methods for the entity normalization task that consists in automatically matching text entitiy mentions to concepts in a reference terminology. To accomplish this task, we propose a new approach by aligning two types of vector representations of entities that capture part of their meanings: word embeddings for text mentions and concept embeddings for concepts, designed specifically for this work. The alignment between the two is done through supervised learning. The developed methods have been evaluated on a reference dataset from the biological domain and they now represent the state of the art for this dataset. These methods are integrated into a natural language processing software suite and the codes are freely shared
Ben, Messaoud Montassar. "SemCaDo : une approche pour la découverte de connaissances fortuites et l'évolution ontologique." Phd thesis, Université de Nantes, 2012. http://tel.archives-ouvertes.fr/tel-00716128.
Повний текст джерелаFlycht-Eriksson, Annika. "Design and use of ontologies in information-providing dialogue systems /." Linköping : Univ, 2004. http://www.ep.liu.se/diss/science_technology/08/74/index.html.
Повний текст джерелаZarebski, David. "Ontologie naturalisée et ingénierie des connaissances." Thesis, Paris 1, 2018. http://www.theses.fr/2018PA01H232/document.
Повний текст джерела«What do I need to know about something to know it ?». It is no wonder that such a general, hard to grasp and riddle-like question remained the exclusive domain of a single discipline for centuries : Philosophy. In this context, the distinction of the primitive components of reality – the so called "world’s furniture" – and their relations is called an Ontology. This book investigates the emergence of similar questions in two different though related fields, namely : Artificial Intelligence and Knowledge Engineering. We show here that the way these disciplines apply an ontological methodology to either cognition or knowledge representation is not a mere analogy but raises a bunch of relevant questions and challenges from both an applied and a speculative point of view. More specifically, we suggest that some of the technical answers to the issues addressed by Big Data invite us to revisit many traditional philosophical positions concerning the role of language or common sense reasoning in the thought or the existence of mind-independent structure in reality
Weinert, Luciana Vieira Castilho. "Ontologias e técnicas de inteligência artificial aplicadas ao diagnóstico em fisioterapia neuropediátrica." Universidade Tecnológica Federal do Paraná, 2010. http://repositorio.utfpr.edu.br/jspui/handle/1/1331.
Повний текст джерелаEsta tese propõe uma metodologia baseada em Ontologias e técnicas de Inteligência Artificial para apoio ao diagnóstico e ao processo de ensino-aprendizagem em Fisioterapia Neuropediátrica. Nesta área são escassas as medidas objetivas que permitam quantificar o diagnóstico e a evolução de um paciente. O diagnóstico é limitado a informar em quais meses do desenvolvimento motor normal um paciente pode ser classificado, baseando-se na experiência subjetiva do fisioterapeuta. Neste trabalho foram utilizados métodos formais para a aquisição e representação do conhecimento de especialistas da área. Conflitos de opiniões foram tratados sistematicamente e o conhecimento foi representado por uma Ontologia. Esta gerou um conjunto de regras de classificação a partir do qual três abordagens foram desenvolvidas: um sistema especialista crisp, um fuzzy e um baseado em modelos determinísticos. O primeiro teve um desempenho não condizente com a realidade do problema. O segundo se mostrou também inadequado. A abordagem com modelos determinísticos se mostrou adequada para classificar um paciente com diferentes graus de pertinência a múltiplos meses do desenvolvimento motor. Os resultados utilizando esta metodologia sugerem que o mesmo é capaz de simular objetivamente o diagnóstico fornecido por especialistas ao analisarem casos reais, em 90% dos casos. Uma extensão do trabalho foi a utilização da Ontologia em uma ferramenta de suporte ao processo de ensino-aprendizagem deste conteúdo em Fisioterapia. Esta abordagem mostrou resultados satisfatórios, tendo sido utilizada tanto por profissionais quanto por alunos, mostrando o seu potencial como recurso multimídia de ensino. 85% dos profissionais entrevistados concordaram fortemente sobre o potencial da ontologia para se tornar uma nova forma de contribuição ao processo de ensino-aprendizagem deste conteúdo. As principais contribuições desta tese são: a gestão eficiente do conhecimento em um domínio cuja característica é a fraca sistematização e a subjetividade; metodologias para apoio à quantificação do diagnóstico do paciente neuropediátrico; e o desenvolvimento de uma ferramenta para suporte ao ensino baseado em uma Ontologia.
This thesis proposes a new methodology based on ontologies and artificial intelligence techniques to support the diagnosis and the teaching-learning process in neuropediatric physiotherapy. In this area, standardized and objective measurements to quantify the diagnosis are difficultly found. The diagnosis is limited to inform in which months of the normal motor development a patient can be classified, based upon only on the subjective experience of the physiotherapist. In this work formal methods for knowledge acquisition and representations were used. Possible divergences of opinions between experts were systematically treated, and the acquired knowledge was represented as an ontology. Such ontology generated a set of classification rules from which three different approaches for diagnosis were developed: a crisp expert system, a fuzzy system, and another approach based on deterministic models. The crisp expert system did not accomplish to the problem. The fuzzy approach was not adequate too. The last approach was shown to be adequate for classifying a given patient with different degrees of membership to several months of the motor development. Results using this methodology suggested that it is capable of simulating objectively the diagnosis from human experts when analyzing real-world cases, in 90% of the cases. An extension of this work is the use of the developed ontology in a tool to support the teaching-learning process of neuropediatric physiotherapy. Such approach revealed fairly satisfactory. It was tested by professionals and students, and both found it promising as a multimedia educational resource. 85% strongly agreed about the ontology potential to be used as a tool for teaching-learning process. Overall, the main contributions of this thesis are: efficient knowledge management in a domain with weak standardization and high subjectivity of expert knowledge; methodologies for supporting the quantification of the diagnosis of a neuropediatric patient; and the development of an ontology-based multimedia tool for educational purposes.
Lisena, Pasquale. "Knowledge-based music recommendation : models, algorithms and exploratory search." Electronic Thesis or Diss., Sorbonne université, 2019. http://www.theses.fr/2019SORUS614.
Повний текст джерелаRepresenting the information about music is a complex activity that involves different sub-tasks. This thesis manuscript mostly focuses on classical music, researching how to represent and exploit its information. The main goal is the investigation of strategies of knowledge representation and discovery applied to classical music, involving subjects such as Knowledge-Base population, metadata prediction, and recommender systems. We propose a complete workflow for the management of music metadata using Semantic Web technologies. We introduce a specialised ontology and a set of controlled vocabularies for the different concepts specific to music. Then, we present an approach for converting data, in order to go beyond the librarian practice currently in use, relying on mapping rules and interlinking with controlled vocabularies. Finally, we show how these data can be exploited. In particular, we study approaches based on embeddings computed on structured metadata, titles, and symbolic music for ranking and recommending music. Several demo applications have been realised for testing the previous approaches and resources
Marroquín, Cortez Roberto Enrique. "Context-aware intelligent video analysis for the management of smart buildings." Thesis, Bourgogne Franche-Comté, 2019. http://www.theses.fr/2019UBFCK040/document.
Повний текст джерелаTo date, computer vision systems are limited to extract digital data of what the cameras "see". However, the meaning of what they observe could be greatly enhanced by environment and human-skills knowledge.In this work, we propose a new approach to cross-fertilize computer vision with contextual information, based on semantic modelization defined by an expert.This approach extracts the knowledge from images and uses it to perform real-time reasoning according to the contextual information, events of interest and logic rules. The reasoning with image knowledge allows to overcome some problems of computer vision such as occlusion and missed detections and to offer services such as people guidance and people counting. The proposed approach is the first step to develop an "all-seeing" smart building that can automatically react according to its evolving information, i.e., a context-aware smart building.The proposed framework, named WiseNET, is an artificial intelligence (AI) that is in charge of taking decisions in a smart building (which can be extended to a group of buildings or even a smart city). This AI enables the communication between the building itself and its users to be achieved by using a language understandable by humans
Carvalheira, Luiz Carlos da Cruz. "Método semi-automático de construção de ontologias parciais de domínio com base em textos." Universidade de São Paulo, 2007. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-10012008-094436/.
Повний текст джерелаThe recent developments related to knowledge management, the semantic web and the exchange of electronic information through the use of agents have increased the need for ontologies to describe, in a formal way, shared understanding of a given domain. For computers and people to work in cooperation it is necessary that information have well defined and shared definitions. Ontologies are enablers of that cooperation. However, ontology construction remains a very complex and costly process, which has hindered its use in a wider scale. This work presents a method for the semi-automatic construction of ontologies using texts of any domain for the extraction of concepts and relations. By comparing the relative frequency of terms in the text with their expected use and extracting specific linguistic patterns, the method identifies concepts and relations and specifies the corresponding ontology using OWL for further use by other applications.
Flycht-Eriksson, (Silvervarg) Annika. "Design and use of ontologies in information-providing dialogue systems." Doctoral thesis, Linköpings universitet, NLPLAB - Laboratoriet för databehandling av naturligt språk, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-5007.
Повний текст джерелаTsatcha, Dieudonné. "Contribution à l'extraction et à la représentation des connaissances de l'environnement maritime : proposition d'une architecture dédiée aux applications de navigation." Thesis, Brest, 2014. http://www.theses.fr/2014BRES0118/document.
Повний текст джерелаNo
Sadoun, Driss. "Des spécifications en langage naturel aux spécifications formelles via une ontologie comme modèle pivot." Phd thesis, Université Paris Sud - Paris XI, 2014. http://tel.archives-ouvertes.fr/tel-01060540.
Повний текст джерелаPonciano, Jean-Jacques. "Object detection in unstructured 3D data sets using explicit semantics." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSES059.
Повний текст джерелаWith the evolution of technologies and robotics, the possibilities offered by 3D acquisition systems have increased. Nowadays, these systems are used in different domains as for autonomous vehicles, rescue robots, cultural heritage, for example. These application fields often require to perform object recognition from acquired data. Therefore, various methodologies have been investigated to automatically process 3D point cloud data in order to detect contained objects. The best methodologiesdepend on the context, that means they are specific to the data to be processed and the objects to be recognized. They produce efficient recognition, which is essential whatever the application field. However, adapting methodologies to a particular application field or use case limits the flexibility to extend the use of a method to other fields. These observations highlight the importance of developing object recognition methodologies specific to a detection context, but also the limitation of existing methods to preserve their capacity within changing detection contexts. An excellent example of a high degree of flexibility to changing contexts is human intelligence and human’s ability to design ad hoc methodologies. Humans can analyze the context according to their knowledge and combine different characteristics or strategies according to the objective to be achieved. It would, therefore, be helpful for Computer Vision tools to integrate elements of artificial intelligence, allowing to adapt to the context of an application fields and to guide the detection process in this respect. This Ph.D. thesis presents a knowledge-based approach for object recognition that can be used whatever the application field. Its architecture is based on semantic technologies to allow a knowledge management module to guide the objects detection process through a step by step procedure performing the selection, parameterization, and execution of algorithms. The detection process is performed thanks to an artificial intelligence approach that uses explicit knowledge to design a context-dependent object recognition solution. Its strength is its adaptability to the context, but also its capability to analyze and understand a scene and contained objects and the specificities of the data to be processed. This understanding capability is realized through a self-learning process able to define and validate hypotheses concerning the context, also enabling to enrich the knowledge base and to improve the objects recognition process. The efficiency of this adaptation capability will be demonstrated in four use cases from different application fields. The first use case is an indoor of a building. It is used for a monitoring purpose. The second use case is located in the field of Archaeology represented by ancient ruins containing a terrace house with a watermill. The third use case is an outdoor representing a part of the city of Freiburg in Germany. It is used for an industrial purpose. Finally, the last use case is an indoor acquired by Microsoft’s Kinect. It is used for a robotic purpose
Oliverio, Vinicius. "Detecção de contradições em um sistema de aprendizado sem fim." Universidade Federal de São Carlos, 2012. https://repositorio.ufscar.br/handle/ufscar/505.
Повний текст джерелаUniversidade Federal de Sao Carlos
NELL (Never Ending Language Learning) is a system that seeks to learn in an infinite way, extracting structured information from unstructured web pages using the semi-supervised learning paradigm as one of its basic principles. The Read the Web (RTW) project is the project where the NELL system is contained, actually it consists of 5 modules, all of them working independently where one of the modules is called Rule Learner (RL). The RL is responsible for inducing first order rules, which are used by the system to identify patterns in the knowledge generated by the other four components of the system. These rules are induced and then represented in a syntax that has Horn clauses as base. These rules can present contradictions, and in this context this paper proposes investigate, develop and implement methods to detect and solve these contradictions so that the system can learn in a more efficient way
O NELL (Never Ending Language Learning) é um sistema que busca aprender de uma maneira contínua, extraindo informação estruturada de páginas web desestruturadas utilizando o paradigma de aprendizagem semissupervisionado como um de seus princípios básicos. O Read the Web (RTW) é o projeto no qual o sistema NELL se insere. Atualmente o NELL possui cinco módulos, todos eles trabalhando independentemente onde um desses módulos é chamado Rule Learner (RL). O RL é responsável por induzir regras de primeira ordem, as quais são utilizadas pelo sistema para identificar padrões presentes no conhecimento gerado pelos outros quatro componentes do sistema. Estas regras são induzidas e, na sequência, representadas através de uma sintaxe que tem cláusulas de Horn como base. Tais regras podem apresentar contradições, e neste contexto o presente trabalho propõe a investigação, desenvolvimento e implementação de métodos para detectar e resolver estas contradições de maneira a fazer a aprendizagem mais eficiente.
Araújo, Cláudia Josimar Abrão de. "Um modelo para interoperabilidade entre instituições heterogêneas." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/45/45134/tde-08022013-111002/.
Повний текст джерелаHeterogeneous institutions interactions have increasingly been required to obtain and provide information and services to their internal and external users. This interaction has been sustained mainly by the use of new information and communication technologies. Interoperability between heterogeneous institutions ensures this interaction and provides various benefits such as, use the legacy platforms of the institutions and still allow the interaction between their systems. However, to make this interoperability possible it is necessary to define common concepts that standardize and guide the interactions between institutions. Through these common concepts, institutions can exchange information with each other and maintain the independence and particularities in their internal systems. In our work, we propose a Model for Interoperability between Heterogeneous Institutions (MIHI). The specification of the interaction rules and specifically the protocols for interoperability between institutions are written using JamSession, which is a platform for the coordination of heterogeneous and distributed software services. The model also defines an architecture based on Institutional Knowledge Artifacts to handle the connections to the systems of the institutions. These Institutional Knowledge Artifacts are based on the general concept of Knowledge Artifacts, i.e., \"objects that convey and hold usable representation of knowledge\". The Institutional Knowledge Artifacts are recurring architectural patterns that are observed in the design of mechanisms for interoperability to connect heterogeneous institutions and are used as a high-level description of the architecture for a system design. They function as pre-designed architectural patterns that guide and standardize the interactions and therefore the organizational and semantic interoperability between institutions. The Institutional Knowledge Artifacts are based on ontology of concepts relevant to these services institutions whose level of abstraction can vary, depending on the level of integration necessary for institutions - the more sophisticated interaction, more details should be represented explicitly in the ontology. The Institutional Knowledge Artifacts implemented also communicate with the use interface layer, based on virtual worlds, to ensure proper communication with these users. Besides the proposed conceptual model, we present as a result of this work, an example of the use of MIIH in the context of institutions related to cultural heritage (museums, galleries, collectors, etc.). Having recognized that the context of museums is important for the society, we studied more deeply the operation of museums and their interactions with each other and their users. We identified in this scenario the direct application of our project, since interoperability among museums is vital to the performance of its functions and interoperability with its users define the reason for its existence, as we verified in the definition of museum presented by UNESCO. This example of use is constructed following the methodology proposed in this work and serves to show the use of our model in the development of a practical application for use in art institutions and also by its users.
Gonçalves, Bernardo Nunes. "An ontological theory of the electrocardiogram with applications." Universidade Federal do Espírito Santo, 2009. http://repositorio.ufes.br/handle/10/6409.
Повний текст джерелаCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
The fields of Medical- and Bio-informatics are bearing witness of the application of the discipline of Formal Ontology to the representation of biomedical entities and (re-)organization of medical terminologies also in view of advancing electronic health records (EHR). In this context, the electrocardiogram (ECG) defines one of the prominent kinds of biomedical data. As a vital sign, it is an important piece in the composition of the EHR of today, as likely in the EHR of the future. This thesis introduces an ontological analysis of the ECG grounded in the Unified Foundational Ontology (UFO) and axiomatized in First-Order Logic (FOL). With the goal of investigating the phenomena underlying this cardiological exam, we deal with the sub-domains of human heart electrophysiology and anatomy. We then outline an ECG ontology meant to represent what the ECG is on both sides of the patient and of the physician. The ontology is implemented in the semantic web technology OWL with its SWRL extension. The ECG Ontology makes use of basic relations standardized in the OBO Relation Ontology for the biomedical domain. In addition, it takes inspiration in the Foundational Model of Anatomy (FMA) and applies the Ontology of Functions (OF). Besides the ECG ontological theory itself, two applications of the ECG Ontology are also presented here. The first one is concerned with the off-line integration of ECG data standards, a relevant endeavor for the progress of Medical Informatics. The second one in turn comprises a reasoning-based web system that can be used to offer support for interactive learning in electrocardiography / heart electrophysiology. Overall, we also reflect on the ECG Ontology as well as on its two applications to provide evidence for benefits achieved with the employment of methodological principles - in terms of both ontological foundations and ontology engineering - in building a domain ontology
Ceccaroni, Luigi. "OntoWEDSS - An Ontology-based Environmental Decision-Support System for the management of Wastewater treatment plants." Doctoral thesis, Universitat Politècnica de Catalunya, 2001. http://hdl.handle.net/10803/6639.
Повний текст джерелаEn particular, a la investigació s'han aconseguit els següents objectius: (1) la millora del modelatge de la informació sobre processos de tractament d'aigües residuals i la clarificació de part de la confusió existent en la terminologia del domini, (2) la incorporació de coneixement microbiològic (referent al procés del tractament i modelat mitjançant una ontologia) dins del procés de raonament, (3) la creació d'un sistema de suport a la decisió amb tres nivells (percepció, diagnosi i suport a la decisió) que combina coneixement mitjançant una nova integració entre KBSs i ontologies, proporcionant millors resultats, (4) la eliminació d'obstacles existents en el raonament, obtinguda utilitzant el nou coneixement microbiològic codificat a l'estructura jeràrquica i a les relacions de l'ontologia, (5) la representació de relacions causa-efecte, degut a la implementació d'un conjunt de relacions que permeten a l'ontologia deduir automàticament la resposta a qüestions sobre el domini d'aigües residuals.
OntoWEDSS està implementada en el llenguatge de programació LISP, fent servir el software Allegro Common LISP. S'ha dut a terme una avaluació focalitzada del sistema, basada en la valoració de la capacitat de resposta a situacions problemàtiques específiques, obtenint-se bons resultats.
Las contribuciones de esta tesis unen dos disciplinas: ciencias ambientales (específicamente, gestión de aguas residuales) e informática (específicamente, inteligencia artificial). El tratamiento de aguas residuales como disciplina opera utilizando un rango de diferentes enfoques y métodos que incluye: control automático on-line, modelado numérico o no-numérico, razonamiento basado en reglas, razonamiento basado en casos, soporte a la decisión y planificación. La tesis caracteriza una aplicación interdisciplinaria de técnicas de inteligencia artificial a sistemas de soporte a la decisión en el dominio ambiental. El diseño de la arquitectura de esta aplicación, el sistema OntoWEDSS, aumenta los sistemas híbridos de razonamiento ya existentes (razonamiento basado en reglas y basado en casos) con una ontología de dominio para la gestión de plantas de tratamiento de aguas residuales. La integración de la ontología WaWO, de nueva creación, proporciona a OntoWEDSS una mayor flexibilidad en la capacidad de gestión. La construcción del sistema de soporte a la decisión OntoWEDSS se basa en el estudio de un caso específico, pero el sistema resulta también es de interés general puesto que la arquitectura basada en ontologías puede aplicarse a cualquier planta de tratamiento de aguas residuales y, a un nivel apropiado de abstracción, a otros dominios ambientales. El sistema OntoWEDSS mejora la diagnosis del estado de la planta de tratamiento, proporciona soporte a la resolución de complejos problemas relacionados con aguas residuales, y facilita el modelado del conocimiento y su reutilización mediante la ontología WaWO.
En particular, la investigación ha alcanzado los siguientes objetivos: (1) la mejora del modelado de la información sobre procesos de tratamiento de aguas residuales y la clarificación de parte de la confusión existente en la terminología relacionada, (2) la incorporación de conocimiento microbiológico (referente al proceso del tratamiento y modelado mediante una ontología) dentro del proceso de razonamiento, (3) la creación de un sistema de soporte a la decisión con tres estratos (percepción, diagnosis y soporte a la decisión) que combina conocimiento mediante una novedosa integración entre KBSs y ontologías, proporcionando mejores resultados, (4) la eliminación de obstáculos existentes en el razonamiento, hallada utilizando el nuevo conocimiento microbiológico codificado en la estructura jerárquica y las relaciones de la ontología, (5) la representación de relaciones causa-efecto, debido a la implementación de un conjunto de relaciones que permiten a la ontología deducir automáticamente la respuesta a cuestiones sobre el dominio de aguas residuales.
OntoWEDSS está implementada en el lenguaje de programación LISP, usando el software Allegro Common LISP. Se ha llevado a cabo una evaluación enfocada del sistema, basada en la valoración de la capacidad de respuesta a situaciones problemáticas específicas, obteniéndose buenos resultados.
The contributions of this thesis bridge two disciplines: environmental science (specifically, wastewater management) and computer science (specifically, artificial intelligence). Wastewater management as a discipline operates using a range of different approaches and methods which include: manual control, on-line automatic control, numerical or non-numerical models, statistical models and simulation models. The thesis characterizes an interdisciplinary research on artificial intelligence techniques (rule-based reasoning, case-based reasoning, ontologies and planning) applied to environmental decision-support systems. The integrated architecture's design of this application, the OntoWEDSS system, augments classic reasoning systems (rule-based reasoning and case-based reasoning) with a domain ontology about the management of wastewater treatment plants. The integration of the newly created WaWO ontology provides a more flexible management capability to OntoWEDSS. The construction of the OntoWEDSS decision support system is based on a specific case study but the system is also of general interest, given that its ontology-underpinned architecture can be applied to any wastewater treatment plant and, at an appropriate level of abstraction, to other environmental domains. The OntoWEDSS system improves the diagnosis of the state of a treatment plant, provides support for wastewater-related complex problem-solving, and facilitates knowledge modeling and reuse by means of the WaWO ontology.
The following research targets have been achieved in particular: (1) the improvement of the modeling of the information about wastewater treatment processes and the clarification of a part of the existing terminological confusion in the domain, (2) the incorporation of ontology-modeled microbiological knowledge related to the treatment process into the reasoning process, (3) the creation of a decision support system with three layers (perception, diagnosis and decision support) which combines knowledge through a novel integration between KBSs and ontologies, providing better results, (4) the solution of existing reasoning-impasses, found using the new microbiological knowledge encoded in the hierarchical structure and the relations of the ontology, (5) the representation of cause-effect relations, due to the implementation of a set of relations that enable the ontology to automatically deduce the answer to questions about the wastewater domain.
OntoWEDSS is implemented in the LISP programming language, using Allegro Common LISP software. A focused evaluation of the system, founded on the assessment of the capacity of response to specific problematic situations, has been carried out and has given fine results.
Questa tesi contribuisce alla intersezione di due discipline: le scienze ambientali (specificamente, la gestione delle acque di rifiuto) e la informatica (specificamente, la intelligenza artificiale). Nel trattamento delle acque di rifiuto come disciplina si utilizzano diversi metodi, che includono: controllo manuale, controllo automatico on-line, modelli numerici o non-numerici e simulazioni. La tesi caratterizza un'applicazione interdisciplinare di tecniche di intelligenza artificiale a sistemi di aiuto alla decisione in campo ambientale. L'architettura di questa applicazione, il sistema OntoWEDSS, amplia i sistemi di ragionamento ibrido esistenti (ragionamento basato su un sistema di regole, ragionamento basato sull'esperienza, aiuto alla decisione e pianificazione) con un'ontologia di dominio per la gestione di depuratori di acque di rifiuto. L'integrazione dell'ontologia WaWO, di nuova creazione, fornisce a OntoWEDSS una maggiore flessibilità nella sua capacità di gestione. La costruzione del sistema OntoWEDSS si basa sullo studio di un caso specifico, però il sistema risulta anche di interesse generale dato che l'architettura basata su un'ontologia può essere applicata a un qualsiasi depuratore e, considerando un adeguato livello d'astrazione, ad altri domini ambientali. Il sistema OntoWEDSS migliora la diagnosi dello stato del depuratore, fornisce aiuto alla soluzione di problemi complessi relazionati con le acque di rifiuto e facilita la modellizzazione della conoscenza e la sua riutilizzazione mediante l'ontologia WaWO.
In particolare, la ricerca realizzata ha raggiunto i seguenti obiettivi: (1) il miglioramento dell'informazione sui processi di depurazione e il chiarimento di parte della confusione esistente nella terminologia relativa, (2) l'incorporazione di conoscenza microbiologica (riguardo al processo di depurazione e mediante la modellizzazione ontologica) nel processo di ragionamento, (3) la creazione di un sistema di aiuto alla decisione con tre livelli (percezione, diagnosi e aiuto alla decisione) che combina la informazione mediante un nuovo tipo d'integrazione tra classici sistemi basati sulla conoscenza e ontologie, proporzionando risultati migliori, (4) l'eliminazione di alcuni ostacoli esistenti nel ragionamento, ottenuta utilizzando la nuova conoscenza microbiologica codificata nella struttura gerarchica e nelle relazioni dell'ontologia, (5) la rappresentazione di relazioni causa-effetto del mondo reale attraverso l'implementazione di un insieme di relazioni ontologiche che permettono di dedurre automaticamente le risposte a domande sul dominio delle acque di rifiuto.
OntoWEDSS è implementata nel linguaggio di programmazione LISP, usando il software Allegro Common LISP. È stata realizzata una valutazione del sistema basata sulla stima della capacità di risposta a situazioni problematiche specifiche e si sono ottenuti risultati soddisfacenti.
Toscano, Wagner. "Minerador WEB: um estudo sobre mecanismos de descoberta de informações na WEB." Universidade de São Paulo, 2003. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-17122003-150851/.
Повний текст джерелаThe World Wide Web (Web) has a huge amount and a large diversity of informations. There is a big appeal to people navigate on the Web to search for a desired information. On the other hand, due to this huge amount of data, we are faced with the fundamental problems of how to discover and how to reach the desired information in a efficient way. If there is no efficient mechanisms to find informations, the use of the Web as a useful source of information becomes very restrictive. Another important problem to overcome is the lack of a regular structure of the information in the Web, making difficult the use of usual information search methods. In this work it is presented a study of alternative techniques for information search. Several concepts of information retrieval and knowledge representation are applied. A primary goal is to analyse the efficiency of information retrieval methods using analysis of extensional information and probabilistic methods like Naive Bayes to classify sites among a pre-defined classes of sites.Another goal is to design a logic based knowledhe base, in order to enable a user to apply more complex queries than queries based simply on expressions using keywouds and logical connectives
Pinto, Ig Ibert Bittencourt Santana. "Plataforma para construção de ambientes interativos de aprendizagem baseados em agentes." Universidade Federal de Alagoas, 2006. http://repositorio.ufal.br/handle/riufal/807.
Повний текст джерелаCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
O presente trabalho aborda a concepção e desenvolvimento de ambientes interativos de aprendizagem (AIAs) baseados em agentes, mais especificamente, seguindo o modelo de arquitetura multiagente do Mathema. Tal modelo é definido com base em uma estratégia de aprendizagem baseada em problemas, disposta em um cenário onde agentes artificiais e humanos (alunos e professores) interagem com vistas a ajudar aprendizes humanos a resolver problemas em um determinado domínio de conhecimento. Nesse sentido, esse modelo propõe-se a ajudar os aprendizes durante as várias fases para a construção de uma solução, incluindo a análise do problema. Para tanto, modelou-se três categorias de interações: o agente aprendiz humano, o professor e o agente tutor artificial. Neste trabalho, propõe-se uma plataforma para construção de ambientes interativos de aprendizagem baseados em Agentes, dando suporte tanto de um framework, para os engenheiros de software/desenvolvedores, quanto de um sistema de autoria para os usuários não programadores poderem configurar o domínio de ensino. Além disso, tal plataforma possui ferramentas de colaboração, infraestrutura baseada em ontologia e uma sociedade de agentes que auxiliam na modelagem do domínio e resolução de problemas (através de técnicas de Inteligência Artificial). A fim de experimentar e validar a plataforma proposta foram desenvolvidos dois estudos de casos, um na área de direito e o outro em medicina, além de ter sido iniciado um investimento em matemática.
Albuquerque, Andréa Corrêa Flôres. "Um Framework conceitual para integrar conhecimento tácito científico." Universidade Federal do Amazonas, 2016. http://tede.ufam.edu.br/handle/tede/5302.
Повний текст джерелаApproved for entry into archive by Divisão de Documentação/BC Biblioteca Central (ddbc@ufam.edu.br) on 2016-12-01T13:51:29Z (GMT) No. of bitstreams: 1 Tese - Andrea C. F. Albuquerque.pdf: 4570257 bytes, checksum: 55a3bbe1076ec44491c4ecfbed0c08e6 (MD5)
Approved for entry into archive by Divisão de Documentação/BC Biblioteca Central (ddbc@ufam.edu.br) on 2016-12-01T13:51:58Z (GMT) No. of bitstreams: 1 Tese - Andrea C. F. Albuquerque.pdf: 4570257 bytes, checksum: 55a3bbe1076ec44491c4ecfbed0c08e6 (MD5)
Made available in DSpace on 2016-12-01T13:51:58Z (GMT). No. of bitstreams: 1 Tese - Andrea C. F. Albuquerque.pdf: 4570257 bytes, checksum: 55a3bbe1076ec44491c4ecfbed0c08e6 (MD5) Previous issue date: 2016-07-15
During the development of OntoBio, a formal biodiversity ontology, it was observed that much of the knowledge of the expert, which was not included in the structured databases and allow ontology to be more expressive (tacit knowledge), was not represented, and thus ignored. Empirical evidences indicate that this knowledge is essential to help in generating knew scientific knowledge and consequently in the decision making process. In this highly connected environment, where data availability is massive, the use of ontologies is a recommended solution for allowing knowledge acquisition/generation. More specific issues such as representation of tacit scientific knowledge, are not satisfactorily elucidated. In order to contribute with solutions for such questions, it is necessary to investigate critical aspects of knowledge representation, modelling and formalization of tacit knowledge, and also to consider different views on the domain. This research proposes a method to agregate tacit knowledge to formal ontologies, incorporating semantic and expressivity to support generation of scientific knowledge. The method comprises the process of elicitation and formalization of scientific tacit knowledge of biodiversity, and the integration of this knowledge to the structure described in OntoBio.
Durante o desenvolvimento da OntoBio, uma ontologia formal de biodiversidade, observou-se que muito do conhecimento do especialista, que não estava contido nas bases de dados estruturadas e que tornam a ontologia mais expressiva (conhecimento tácito), não era representado, e com isso ignorado. Evidências empíricas indicam que este conhecimento é essencial para auxiliar na geração de novos conhecimentos científicos e consequentemente, nos processos de tomada de decisão. Neste ambiente de intensa conectividade, onde a disponibilidade de dados é massiva, a utilização de ontologias é uma solução recomendada, por permitir a aquisição/geração de conhecimento. Questões mais especificas, como a representação do conhecimento científico tácito, ainda não estão satisfatoriamente elucidadas. Para contribuir com soluções para tais questões, faz-se necessário investigar aspectos críticos de aquisição e representação do conhecimento, modelagem e formalização de conhecimento tácito, e considerar diferentes pontos de vista sobre o domínio. Esta pesquisa propõe um método para agregar conhecimento tácito à ontologias formais, incorporando semântica e expressividade para apoiar a geração de conhecimento científico. O método compreende o processo de elicitação e formalização do conhecimento científico tácito de biodiversidade, e a integração deste conhecimento à estrutura descrita na OntoBio.
Dalmau, Espert J. Luis. "Sistema multiagente para el diseño, ejecución y seguimiento del proceso de planificación estratégica ágil en las organizaciones inteligentes." Doctoral thesis, Universidad de Alicante, 2015. http://hdl.handle.net/10045/54217.
Повний текст джерелаThovex, Christophe. "Réseaux de Compétences : de l'Analyse des Réseaux Sociaux à l'Analyse Prédictive de Connaissances." Phd thesis, Université de Nantes, 2012. http://tel.archives-ouvertes.fr/tel-00697798.
Повний текст джерелаBenabderrahmane, Sidahmed. "Prise en compte des connaissances du domaine dans l'analyse transcriptomique : Similarité sémantique, classification fonctionnelle et profils flous : application au cancer colorectal." Phd thesis, Université Henri Poincaré - Nancy I, 2011. http://tel.archives-ouvertes.fr/tel-00653169.
Повний текст джерелаRibeiro, Manuel António de Melo Chinopa de Sousa. "Neural and Symbolic AI - mind the gap! Aligning Artificial Neural Networks and Ontologies." Master's thesis, 2020. http://hdl.handle.net/10362/113651.
Повний текст джерелаPaiva, Luis Miguel Sintra Salvo. "Semantic relations extraction from unstructured information for domain ontologies enrichment." Master's thesis, 2015. http://hdl.handle.net/10362/16550.
Повний текст джерелаRemolona, Miguel Francisco Miravite. "HOLMES: A Hybrid Ontology-Learning Materials Engineering System." Thesis, 2018. https://doi.org/10.7916/D8WH46P7.
Повний текст джерела"Bridging the Gap between Classical Logic Based Formalisms and Logic Programs." Doctoral diss., 2012. http://hdl.handle.net/2286/R.I.14557.
Повний текст джерелаDissertation/Thesis
Ph.D. Computer Science 2012
Lombard, Orpha Cornelia. "The construction and use of an ontology to support a simulation environment performing countermeasure evaluation for military aircraft." Diss., 2014. http://hdl.handle.net/10500/14411.
Повний текст джерелаComputing
M. Tech. (Information Technology)
Горбуляк, Юстина Іванівна, та Yustyna Ivanivna Horbuliak. "Огляд методів аналітичної обробки текстових даних з Web-джерел для технологій Web 3.0". Master's thesis, 2021. http://elartu.tntu.edu.ua/handle/lib/36848.
Повний текст джерелаВступ 7 1 Основи семантичної павутини та веб-майнінгу 10 1.1 Шари семантичної мережі 11 1.2. Онтології: мови та інструменти 16 1.3 Супутні області досліджень та сфери застосування 17 1.4 Веб-майнінг 18 1.5 Вміст/текст веб-сторінок 19 1.6 Структура зв'язків між веб-сторінками 20 1.7 Використання веб-сторінок 20 2 Отримання семантики з мережі інтернет 23 2.1 Семантика, створена вмістом і структурою 23 2.1.1 Навчання онтології 23 2.1.2 Відображення та злиття онтологій 24 2.1.3 Навчання на прикладі 25 2.1.4 Використання існуючих концептуалізацій як онтологій і для автоматичного анотування 26 2.1.5 Семантика, створена структурою 27 2.2 Семантика, створена використанням 28 3 Використання семантики для веб-майнінгу 30 3.1 Семантична мережа 30 3.1 Зміст і структура майнінгу 30 3.2 Використання веб-майнінгу 32 3.2.1 Події застосування 33 3.2.2 Використання знань про події програми використовуються для майнінгу 35 3.3 Сумісне використання Semantic Web і Web Mining 39 3.4 Semantic Web Mining та інші цикли зворотного зв’язку 44 4 Охорона праці та безпека в надзвичайних cитуаціях 47 4.1 Фактори виникнення явища професійного вигорання та його запобігання для працівників в ІТ-сфері 47 4.2 Створення і функціонування системи моніторингу довкілля з метою інтеграції екологічних інформаційних систем, що охоплюють певні території 49 Висновки 56 Список використаних джерел 57 Додатки
Barlatier, Patrick. "Conception et implantation d'un modèle de raisonnement sur les contextes basée sur une théorie des types et utilisant une ontologie de domaine." Phd thesis, 2009. http://tel.archives-ouvertes.fr/tel-00678447.
Повний текст джерелаZemmouri, El Moukhtar. "Représentation et gestion des connaissances dans un processus d'Extraction de Connaissances à partir de Données multi-points de vue." Phd thesis, 2013. http://tel.archives-ouvertes.fr/tel-00940780.
Повний текст джерелаVenter, Jade Anthony. "ADLOA : an architecture description language for artificial ontogenetic architectures." Thesis, 2014. http://hdl.handle.net/10210/12433.
Повний текст джерелаADLOA is an Architecture Description Language (ADL) proposed to describe biologicallyinspired complex adaptive architectures such as ontogenetic architectures. The need for an ontogenetic ADL stems from the lack of support from existing ADLs. This dissertation further investigates the similarities between existing intelligent architectures and ontogenetic architectures. The research conducted on current ADLs, artificial ontogeny and intelligent architectures reveals that there are similarities between ontogenetic architectures and other intelligent architectures. However, the dynamism of artificial ontogeny indicates a lack of support for architecture description. Therefore, the dissertation proposes two core mechanisms to address ontogenetic architecture description. Firstly, the ADLOA process is defined as a systematisation of artificial ontogeny. The process specifies a uniform approach to defining ontogenetic architectures. Secondly, a demonstration of the implemented ADLOA process is used, in conjunction with the ADLOA model, mechanisms and Graphical User Interface (GUI), to present a workable description environment for software architects. The result of the dissertation is a standalone ADL that has the ability to describe ontogenetic architectures and to produce language-dependent code frameworks using the Extensible Markup Language (XML) and Microsoft Visual Studio platform.
Shields, Philip John. "Nurse-led ontology construction: A design science approach." Thesis, 2016. https://vuir.vu.edu.au/32620/.
Повний текст джерела