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Dissertations / Theses on the topic 'Graph-based representation and reasoning'

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Published: 3 June 2025
Last updated: 31 July 2025

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1

Valle, Kjetil. "Graph-Based Representations for Textual Case-Based Reasoning." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-13575.

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This thesis presents a graph-based approach to the problem of text representation. The work is motivated by the need for better representations for use in textual Case-Based Reasoning (CBR). In CBR new problems are solved by reasoning based on similar past problem cases. When the cases are represented in free text format, measuring the similarity between a new problem and previously solved problems become a challenging task. The case documents need to be re-represented before they can be compared/matched.Textual CBR (TCBR) addresses this issue. We investigate automatic re-representation of tex
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2

Suen, Edward Shaw-Lee Carleton University Dissertation Computer Science. "Tableau-based theorem proving for representation and reasoning." Ottawa, 1987.

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3

Larsson, Carl. "Case Representation Methodology for a Scalable Case-Based Reasoning." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-41116.

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Case-Based Reasoning (CBR) is an Artificial Intelligence (AI) methodology and a growing field of research. CBR uses past experiences to help solve new problems the system faces. To do so CBR is comprised of a few core parts, such as case representation, case library, case retrieval, and case adaptation. This thesis will focus on the case representation aspect of CBR systems and presents a scalable case representation for big data environments. One aspect of focus on big data environments is also the focus of a MapReduce environment. MapReduce is a software framework enabling the use of a Map a
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4

Diab, Mohammed. "Knowledge representation and reasoning for perception-based manipulation planning." Doctoral thesis, Universitat Politècnica de Catalunya, 2021. http://hdl.handle.net/10803/671505.

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This thesis develops a series of modeling and reasoning tools for knowledge-oriented manipulation planning in semi/unstructured environments. The main idea is to use high-level knowledge-based reasoning to capture a rich semantic description of the scene, knowledge about the physical behavior of the objects, and inference mechanism to reason about the potential manipulation actions. Moreover, a multi-model sensory module is proposed to perceive the objects in the environment and build the ontological knowledge. The first part of the thesis is focused on the techniques to provide useful know
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5

Wolter, Diedrich. "Spatial representation and reasoning for robot mapping a shape-based approach." Berlin Heidelberg Springer, 2006. http://d-nb.info/989966941/34.

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Wolter, Diedrich. "Spatial representation and reasoning for robot mapping a shape-based approach /." Berlin : Springer, 2008. http://www.myilibrary.com?id=186085.

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7

Nguyen, Vinh Thi Kim. "Semantic Web Foundations for Representing, Reasoning, and Traversing Contextualized Knowledge Graphs." Wright State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=wright1516147861789615.

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8

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.

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Description logics (DLs) are knowledge representation formalisms with numerous applications and well-understood model-theoretic semantics and computational properties. SRIQ is a DL that provides the logical underpinning for the semantic web language OWL 2, which is the W3C standard for knowledge representation on the web. A central component of most DL applications is an efficient and scalable reasoner, which provides services such as consistency testing and classification. Despite major advances in DL reasoning algorithms over the last decade, however, ontologies are still encountered in prac
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Steinhauer, Heike Joe. "A Representation Scheme for Description and Reconstruction of Object Configurations Based on Qualitative Relations." Doctoral thesis, Linköpings universitet, CASL - Cognitive Autonomous Systems Laboratory, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-12446.

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One reason Qualitative Spatial Reasoning (QSR) is becoming increasingly important to Artificial Intelligence (AI) is the need for a smooth ‘human-like’ communication between autonomous agents and people. The selected, yet general, task motivating the work presented here is the scenario of an object configuration that has to be described by an observer on the ground using only relational object positions. The description provided should enable a second agent to create a map-like picture of the described configuration in order to recognize the configuration on a representation from the survey pe
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Stefanoni, 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.

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OWL 2 EL is a popular ontology language that is based on the EL family of description logics and supports regular role inclusions,axioms that can capture compositional properties of roles such as role transitivity and reflexivity. In this thesis, we present several novel complexity results and algorithms for answering expressive queries over OWL 2 EL knowledge bases (KBs) with regular role inclusions. We first focus on the complexity of conjunctive query (CQ) answering in OWL 2 EL and show that the problem is PSpace-complete in combined complexity, the complexity measured in the total size of
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11

Wolter, Diedrich [Verfasser]. "Spatial representation and reasoning for robot mapping : a shape-based approach / Diedrich Wolter." Berlin, 2008. http://d-nb.info/989966941/34.

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12

Tutac, Adina Eunice. "[Formal representation and reasoning for microscopic medical image-based prognosis] : [application to breast cancer grading]." Besançon, 2010. http://www.theses.fr/2010BESA2025.

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Cette thèse aborde l'aide du pronostic basée sur l'image et les ontologies médicales, en utilisant la représentation des connaissances et le raisonnement pour les très grandes images microscopiques. Une application médicale particulière dans laquelle une assistance de type pronostic est nécessaire est la graduation du cancer du sein. Même si cela est considéré comme un outil d'évaluation essentiel dans la pratique de pathologie moderne les principaux problèmes posés par la procédure manuelle de pronostic sont: la nécessité des connaissances, attention et temps. D'autre part, le manque de repré
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Guerrero, Rosero Esteban. "Representing and Reasoning about Complex Human Activities - an Activity-Centric Argumentation-Based Approach." Doctoral thesis, Umeå universitet, Institutionen för datavetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-120272.

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The aim of this thesis is to develop theories and formal methods to endow a computing machinery with capabilities to identify, represent, reason and evaluate complex activities that are directed by an individual’s needs, goals, motives, preferences and environment, information which can be inconsistent and incomplete. Current methods for formalising and reasoning about human activity are typically limited to basic actions, e.g., walking, sitting, sleeping, etc., excluding elements of an activity. This research proposes a new formal activity-centric model that captures complex human activity ba
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Yang, S. A. "KICS : representation of regulatory information and the use of case-based reasoning to support the relaxation process." Thesis, University of Edinburgh, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.664100.

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This thesis presents a case-based reasoning system (KICS) which can assist domain experts in interpreting building regulations in relaxation cases. In traditional legal decision support systems, it has been regarded as natural to represent legal rules in statutes in terms of If-Then decision rules and to link these rules to a separate case-based reasoning system for handling cases. However, we take a view that legal rules in the statutory regulations are the results of accumulation and generalisation of rulings made in case histories and this has led us to a unified case-based approach to hand
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15

Lorins, Peterson Marthen. "A Comparative Analysis Between Context-Based Reasoning (CxBR) and Contextual Graphs (CxGs)." Master's thesis, University of Central Florida, 2005. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2302.

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Context-based Reasoning (CxBR) and Contextual Graphs (CxGs) involve the modeling of human behavior in autonomous and decision-support situations in which optimal human decision-making is of utmost importance. Both formalisms use the notion of contexts to allow the implementation of intelligent agents equipped with a context sensitive knowledge base. However, CxBR uses a set of discrete contexts, implying that models created using CxBR operate within one context at a given time interval. CxGs use a continuous context-based representation for a given problem-solving scenario for decision-support
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SYED, YUSHA KAREEM. "A knowledge-based approach towards human activity recognition in smart environments." Doctoral thesis, Università degli studi di Genova, 2021. http://hdl.handle.net/11567/1050754.

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For many years it is known that the population of older persons is on the rise. A recent report estimates that globally, the share of the population aged 65 years or over is expected to increase from 9.3 percent in 2020 to around 16.0 percent in 2050 [1]. This point has been one of the main sources of motivation for active research in the domain of human activity recognition in smart-homes. The ability to perform ADL without assistance from other people can be considered as a reference for the estimation of the independent living level of the older person. Conventionally, this has been asse
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Babalola, Olubi Oluyomi. "A model based framework for semantic interpretation of architectural construction drawings." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/47553.

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The study addresses the automated translation of architectural drawings from 2D Computer Aided Drafting (CAD) data into a Building Information Model (BIM), with emphasis on the nature, possible role, and limitations of a drafting language Knowledge Representation (KR) on the problem and process. The central idea is that CAD to BIM translation is a complex diagrammatic interpretation problem requiring a domain (drafting language) KR to render it tractable and that such a KR can take the form of an information model. Formal notions of drawing-as-language have been advanced and studied quite ex
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18

Hur, Muhammad Ali. "A framework to support autonomous construction of knowledge graphs from unstructured text." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2024. https://ro.ecu.edu.au/theses/2801.

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This thesis delves into the automated construction of Knowledge Graphs (KGs) from unstructured text data, aiming to overcome the challenges inherent in extracting and representing contextual information with the necessary semantic depth and breadth. While various approaches exist for extracting semantic relations such as temporal, causal, and rhetorical from unstructured text, they often focus on one type of relation at the expense of others, resulting in a fragmented contextual representation. Consequently, these approaches fail to produce KGs with rich semantic information, hindering the dev
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19

Wood, A. R. "Acoustic-phonetic reasoning in computer understanding of speech using frame-based expert knowledge to interpret the 'Speech Sketch' a representation of the acoustic parametric behaviou." Thesis, Staffordshire University, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.356461.

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20

Carbonera, Joel Luis. "Um arcabouço cognitivamente inspirado para representação de conhecimento e raciocínio." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2016. http://hdl.handle.net/10183/153340.

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Seres humanos são capazes de desenvolver complexas estruturas de conhecimento que podem ser utilizadas de modo flexível para lidar com o ambiente de maneira apropriada. Estas estruturas de conhecimento constituem um núcleo que suporta processos cognitivos, tais como a percepção, a categorização, o planejamento, etc. A Inteligência Artificial, enquanto área de investigação, ocupa-se de desenvolver meios que viabilizem a reprodução destas capacidades cognitivas em agentes artificiais. Por este motivo, a investigação de abordagens que permitam a representação de conhecimento de um modo flexível s
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Yaner, Patrick William. "From Shape to Function: Acquisition of Teleological Models from Design Drawings by Compositional Analogy." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/19791.

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Thesis (Ph.D)--Computing, Georgia Institute of Technology, 2008.<br>Committee Chair: Goel, Ashok; Committee Member: Eastman, Charles; Committee Member: Ferguson, Ronald; Committee Member: Glasgow, Janice; Committee Member: Nersessian, Nancy; Committee Member: Ram, Ashwin.
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22

Trinh, Viet. "CONTEXTUALIZING OBSERVATIONAL DATA FOR MODELING HUMAN PERFORMANCE." Doctoral diss., University of Central Florida, 2009. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2747.

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This research focuses on the ability to contextualize observed human behaviors in efforts to automate the process of tactical human performance modeling through learning from observations. This effort to contextualize human behavior is aimed at minimizing the role and involvement of the knowledge engineers required in building intelligent Context-based Reasoning (CxBR) agents. More specifically, the goal is to automatically discover the context in which a human actor is situated when performing a mission to facilitate the learning of such CxBR models. This research is derived from the contextu
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Han, Junsheng. "Code representation and performance of graph-Based decoding." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2008. http://wwwlib.umi.com/cr/ucsd/fullcit?p3297580.

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Thesis (Ph. D.)--University of California, San Diego, 2008.<br>Title from first page of PDF file (viewed April 28, 2008). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references.
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Furno, Domenico. "Hybrid approaches based on computational intelligence and semantic web for distributed situation and context awareness." Doctoral thesis, Universita degli studi di Salerno, 2013. http://hdl.handle.net/10556/927.

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2011 - 2012<br>The research work focuses on Situation Awareness and Context Awareness topics. Specifically, Situation Awareness involves being aware of what is happening in the vicinity to understand how information, events, and one’s own actions will impact goals and objectives, both immediately and in the near future. Thus, Situation Awareness is especially important in application domains where the information flow can be quite high and poor decisions making may lead to serious consequences. On the other hand Context Awareness is considered a process to support user applications to a
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25

Qiu, Mingming. "Designing smart home services using machine learning and knowledge-based approaches." Electronic Thesis or Diss., Institut polytechnique de Paris, 2023. http://www.theses.fr/2023IPPAT014.

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L'intelligence de la maison intelligente est réalisée en créant divers services. Chaque service tente d'ajuster un état monitoré en contrôlant les actionneurs associés après avoir pris en compte les états de l'environnement détectés par les capteurs. Cependant, la conception de la logique des services déployés dans une maison intelligente se heurte à des limitations soit d'adaptabilité dynamique (règles prédéfinies) soit d'explicabilité (techniques d'apprentissage). Quatre propositions s'inscrivant dans une approche hybride combinant des règles prédéfinies et des techniques d'apprentissage vis
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Gkirtzou, Aikaterini. "Sparsity regularization and graph-based representation in medical imaging." Phd thesis, Ecole Centrale Paris, 2013. http://tel.archives-ouvertes.fr/tel-00960163.

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Medical images have been used to depict the anatomy or function. Their high-dimensionality and their non-linearity nature makes their analysis a challenging problem. In this thesis, we address the medical image analysis from the viewpoint of statistical learning theory. First, we examine regularization methods for analyzing MRI data. In this direction, we introduce a novel regularization method, the k-support regularized Support Vector Machine. This algorithm extends the 1 regularized SVM to a mixed norm of both '1 and '2 norms. We evaluate our algorithm in a neuromuscular disease classificati
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Schmidt, Daniel P. "Identifying Knowledge Gaps Using a Graph-based Knowledge Representation." Wright State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=wright1588866076446257.

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28

Baaj, Ismaïl. "Explainability of possibilistic and fuzzy rule-based systems." Electronic Thesis or Diss., Sorbonne université, 2022. http://www.theses.fr/2022SORUS021.

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Aujourd'hui, les progrès de l'Intelligence Artificielle (IA) ont conduit à l'émergence de systèmes capables d'automatiser des processus complexes, en utilisant des modèles qui peuvent être difficiles à comprendre par les humains. Lorsque les humains utilisent ces systèmes d'IA, il est bien connu qu'ils veulent comprendre leurs comportements et leurs actions, car ils ont davantage confiance dans les systèmes qui peuvent expliquer leurs choix, leurs hypothèses et leurs raisonnements. La capacité d'explication des systèmes d'IA est devenue une exigence des utilisateurs, en particulier dans les en
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Pech, Palacio Manuel Alfredo. "Spatial data modeling and mining using a graph-based representation." Lyon, INSA, 2005. http://theses.insa-lyon.fr/publication/2005ISAL0118/these.pdf.

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Est proposé un unique modèle basé sur des graphes pour représenter des données spatiales, les données non-spatiales et les relations entre les objets spatiaux. Ainsi un graphe est généré à partir de ces trois éléments. On considère que l'outil de fouille de données basé sur les graphes peut découvrir des patterns incluant ces trois éléments, selon trois types de relation spatiale (topologique, cardinale et de distance). Dans notre modèle, les données spatiales, non-spatiales (attributs non-spatiaux), et les relations spatiales représentent une collections d'un ou plusieurs graphes orientés. Le
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Pech, Palacio Manuel Alfredo Laurini Robert Tchounikine Anne Sol Martínez David. "Spatial data modeling and mining using a graph-based representation." Villeurbanne : Doc'INSA, 2006. http://docinsa.insa-lyon.fr/these/pont.php?id=pech_palacio.

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Thèse doctorat : Informatique : Villeurbanne, INSA : 2005. Thèse doctorat : Informatique : Universidad de las Américas - Puebla : 2005.<br>Thèse soutenue en co-tutelle. Thèse rédigée en français, en anglais et en espagnol. Titre provenant de l'écran-titre. Bibliogr. p. 174-182.
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Batmaz, Firat. "Semi-Automatic assessment of students' graph-based diagrams." Thesis, Loughborough University, 2011. https://dspace.lboro.ac.uk/2134/8431.

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Diagrams are increasingly used in many design methods, and are being taught in a variety of contexts in higher education such as database conceptual design or software design in computer science. They are an important part of many assessments. Currently computer aided assessments are widely used for multiple choice questions. They lack the ability to assess a student's knowledge in a more comprehensive way, which is required for diagram-type student work. The aim of this research is to develop a semi-automatic assessment framework, which enables the use of computer to support the assessment pr
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Florescu, Corina Andreea. "SurfKE: A Graph-Based Feature Learning Framework for Keyphrase Extraction." Thesis, University of North Texas, 2019. https://digital.library.unt.edu/ark:/67531/metadc1538730/.

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Current unsupervised approaches for keyphrase extraction compute a single importance score for each candidate word by considering the number and quality of its associated words in the graph and they are not flexible enough to incorporate multiple types of information. For instance, nodes in a network may exhibit diverse connectivity patterns which are not captured by the graph-based ranking methods. To address this, we present a new approach to keyphrase extraction that represents the document as a word graph and exploits its structure in order to reveal underlying explanatory factors hidden i
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Butdee, Suthep. "Development of a hybrid intelligent process planning system for rotational parts." Thesis, Queensland University of Technology, 1997.

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34

Le, Thanh Nam. "Graph representation and mining applied in comic images retrieval." Thesis, La Rochelle, 2019. http://www.theses.fr/2019LAROS008.

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Nous abordons d’abord le problème de la représentation sous forme d’un graphe de l’image et de ses applications en reconnaissance des formes, en mettant l’accent sur les applications de recherche d’images basées sur le contenu (CBIR). Les images utilisées dans cette thèse sont des images de bandes dessinées, qui possèdent des spécificités qui sont des freins pour les méthodes de recherche d’information par le contenu utilisées dans la littérature. Le contenu des bandes dessinées, tel que les objets et les personnages, est complexe. La représentation des personnages, par exemple, peut, d’une ca
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Singh, Amrinder. "A component-based approach to proving the correctness of the Schorr-Waite algorithm." Thesis, Virginia Tech, 2007. http://hdl.handle.net/10919/34702.

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This thesis presents a component-based approach to proving the correctness of programs involving pointers. Unlike previous work, our component-based approach supports modular reasoning, which is essential to the scalability of systems. Specifically, we specify the behavior of a graph-marking algorithm known as the Schorr-Waite algorithm, implement it using a component that captures the behavior and performance benefits of pointers, and prove that the implementation is correct with respect to the specification. We use the Resolve language in our example, which is an integrated programming and s
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Zagallo, Patricia, and Patricia Zagallo. "Investigating How Undergraduate Students Develop Scientific Reasoning Skills When Coordinating Data and Model Representations in Biology." Diss., The University of Arizona, 2017. http://hdl.handle.net/10150/625586.

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There has been a call to reform science education to integrate scientific thinking practices, such as data interpretation and modeling, with learning content in science classrooms. This call to reform has taken place in both K-12 science education through Next Generation Science Standards and undergraduate education through AAAS initiative Vision and Change in Undergraduate Biology Education. This dissertation work examines undergraduate students' learning of multiple scientific thinking skills in a curricular format called Teaching Real data Interpretation with Models (TRIM) applied to a larg
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Wennerholm, Pia. "The Role of High-Level Reasoning and Rule-Based Representations in the Inverse Base-Rate Effect." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis : Universitetsbiblioteket [distributör], 2001. http://publications.uu.se/theses/91-554-5178-0/.

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Fuchs, Béatrice. "Représentation des connaissances pour le raisonnement à partir de cas : le système ROCADE." Saint-Etienne, 1997. http://www.theses.fr/1997STET4017.

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PADIM a pour objectifs l'aide à la conception de systèmes de supervision et l'aide à l'opérateur dans sa tâche de supervision d'un système industriel complexe. Le système de supervision est un environnement informatique qui collecte les données et les rassemble pour illustrer la situation courante sur les écrans d'interface. L'opérateur doit choisir les tableaux de bord convenant le mieux pour gérer la situation en cours, et les faire évoluer en fonction de la situation. L'aide à la décision s'appuie sur le RAPC pour capitaliser et réutiliser l'expérience des opérateurs. La mise en oeuvre d'un
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Sartipi, Kamran. "Software Architecture Recovery based on Pattern Matching." Thesis, University of Waterloo, 2003. http://hdl.handle.net/10012/1122.

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Pattern matching approaches in reverse engineering aim to incorporate domain knowledge and system documentation in the software architecture extraction process, hence provide a user/tool collaborative environment for architectural design recovery. This thesis presents a model and an environment for recovering the high level design of legacy software systems based on user defined architectural patterns and graph matching techniques. In the proposed model, a high-level view of a software system in terms of the system components and their interactions is represented as a query, using a de
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Hildebrandt, Marcel [Verfasser], and Volker [Akademischer Betreuer] Tresp. "Reasoning on graph-structured data with deep-learning, path-based methods, and tensor factorization / Marcel Hildebrandt ; Betreuer: Volker Tresp." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2021. http://d-nb.info/1230754725/34.

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Kilinc, Ismail Ozsel. "Graph-based Latent Embedding, Annotation and Representation Learning in Neural Networks for Semi-supervised and Unsupervised Settings." Scholar Commons, 2017. https://scholarcommons.usf.edu/etd/7415.

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Machine learning has been immensely successful in supervised learning with outstanding examples in major industrial applications such as voice and image recognition. Following these developments, the most recent research has now begun to focus primarily on algorithms which can exploit very large sets of unlabeled examples to reduce the amount of manually labeled data required for existing models to perform well. In this dissertation, we propose graph-based latent embedding/annotation/representation learning techniques in neural networks tailored for semi-supervised and uns
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Ceroni, Samuele. "Time-evolving knowledge graphs based on Poirot: dynamic representation of patients' voices." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/23095/.

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Nowadays people are spending more and more time online: this is a permanent change that leads to a huge amount of diversified data like never before which needs to be managed to extrapolate knowledge from it. This also involves social media which produces free textual information very difficult to process, but occasionally very useful. For instance, in the field of rare diseases, our specific testing context could lead to the possibility to organize the voice of patients and of caregivers, difficult to gather otherwise. People who are affected by a rare disease often strive to find enoug
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He, Haoyu. "Deep learning based human parsing." Thesis, University of Sydney, 2020. https://hdl.handle.net/2123/24262.

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Human parsing, or human body part semantic segmentation, has been an active research topic due to its wide potential applications. Although prior works have made significant progress by introducing large-scale datasets and deep learning to solve the problem, there are still two challenges remain unsolved. Firstly, to better exploit the existing parsing annotations, prior methods learn a knowledge-sharing mechanism to improve semantic structures in cross-dataset human parsing. However, the modeling for such mechanism remains inefficient for not considering classes' granularity difference in dif
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MANZO, MARIO. "ATTRIBUTED RELATIONAL SIFT-BASED REGIONS GRAPH (ARSRG):DESCRIPTION, MATCHING AND APPLICATIONS." Doctoral thesis, Università degli Studi di Milano, 2014. http://hdl.handle.net/2434/233320.

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Finding correspondences between images is a crucial activity in many overlapping fields of research, such as Image Retrieval and Pattern Recognition. Many existing techniques address this problem using local invariant image features, instead of color, shape and texture, that to some degree loose the large scale structure of the image. In this thesis, in order to account for spatial relations among the local invariant features and to improve the image representation, first a graph data structure is introduced, where local features are represented by nodes and spatial relations by edges
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Ali, Ismael Ali. "Using and Improving Computational Cognitive Models for Graph-Based Semantic Learning and Representation from Unstructured Text with Applications." Kent State University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=kent1524217759138453.

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46

Herzig, Sebastian J. I. "A Bayesian learning approach to inconsistency identification in model-based systems engineering." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53576.

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Designing and developing complex engineering systems is a collaborative effort. In Model-Based Systems Engineering (MBSE), this collaboration is supported through the use of formal, computer-interpretable models, allowing stakeholders to address concerns using well-defined modeling languages. However, because concerns cannot be separated completely, implicit relationships and dependencies among the various models describing a system are unavoidable. Given that models are typically co-evolved and only weakly integrated, inconsistencies in the agglomeration of the information and knowledge encod
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Carnaz, Gonçalo José Freitas. "A graph-based framework for data retrieved from criminal-related documents." Doctoral thesis, Universidade de Évora, 2021. http://hdl.handle.net/10174/29954.

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A digitalização das empresas e dos serviços tem potenciado o tratamento e análise de um crescente volume de dados provenientes de fontes heterogeneas, com desafios emergentes, nomeadamente ao nível da representação do conhecimento. Também os Órgãos de Polícia Criminal (OPC) enfrentam o mesmo desafio, tendo em conta o volume de dados não estruturados, provenientes de relatórios policiais, sendo analisados manualmente pelo investigadores criminais, consumindo tempo e recursos. Assim, a necessidade de extrair e representar os dados não estruturados existentes em documentos relacionados com o crim
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Oshurko, Ievgeniia. "Knowledge representation and curation in hierarchies of graphs." Thesis, Lyon, 2020. http://www.theses.fr/2020LYSEN024.

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L'extraction automatique des intuitions et la construction de modèles computationnels à partir de connaissances sur des systèmes complexes repose largement sur le choix d'une représentation appropriée. Ce travail s'efforce de construire un cadre adapté pour la représentation de connaissances fragmentées sur des systèmes complexes et sa curation semi-automatisé.Un système de représentation des connaissances basé sur des hiérarchies de graphes liés à l'aide d'homomorphismes est proposé. Les graphes individuels représentent des fragments de connaissances distincts et les homomorphismes permettent
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Sarker, Bishnu. "On Graph-Based Approaches for Protein Function Annotation and Knowledge Discovery." Electronic Thesis or Diss., Université de Lorraine, 2021. http://www.theses.fr/2021LORR0094.

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Les progrès des technologies de séquençage génomique ont conduit à une croissance exponentielle du nombre de séquences protéiques dans les bases de données publiques. Il est important d’exploiter cette énorme quantité de données pour décrire les êtres vivants au niveau moléculaire, et ainsi mieux comprendre les processus pathologiques humains et accélérer la découverte de médicaments. Une condition préalable, cependant, est que toutes ces protéines soient annotées avec des propriétés fonctionnelles telles que les numéros de commission enzymatique (EC) ou les termes de l’ontologie « Gene Ontolo
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Wang, Peng. "Historical handwriting representation model dedicated to word spotting application." Thesis, Saint-Etienne, 2014. http://www.theses.fr/2014STET4019/document.

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L’objectif du travail de thèse est de proposer un modèle de représentation des écritures dans les images de documents du patrimoine sans recourir à une transcription des textes. Ce modèle, issu d’une étude très complète des méthodes actuelles de caractérisation des écritures, est à la base d’une proposition de scénario de recherche par similarité de mots, indépendante du scripteur et ne nécessitant pas d’apprentissage. La recherche par similarité proposée repose sur une structure de graphes intégrant des informations sur la topologie, la morphologie locale des mots et sur le contexte extrait d
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