Tesis sobre el tema "Model annotation"
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Hu, Rong (RongRong). "Image annotation with discriminative model and annotation refinement by visual similarity matching". Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/61311.
Texto completoCataloged from PDF version of thesis.
Includes bibliographical references (p. 65-67).
A large percentage of photos on the Internet cannot be reached by search engines because of the absence of textual metadata. Such metadata come from description and tags of the photos by their uploaders. Despite of decades of research, neither model based and model-free approaches can provide quality annotation to images. In this thesis, I present a hybrid annotation pipeline that combines both approaches in hopes of increasing the accuracy of the resulting annotations. Given an unlabeled image, the first step is to suggest some words via a trained model optimized for retrieval of images from text. Though the trained model cannot always provide highly relevant words, they can be used as initial keywords to query a large web image repository and obtain text associated with retrieved images. We then use perceptual features (e.g., color, texture, shape, and local characteristics) to match the retrieved images with the query photo and use visual similarity to rank the relevance of suggested annotations for the query photo.
by Rong Hu.
M.Eng.
Balachandar, Shreerekha. "Back annotation for conceptual structures". Thesis, This resource online, 1995. http://scholar.lib.vt.edu/theses/available/etd-06112009-063732/.
Texto completoElias, Mturi. "Design of Business Process Model Repositories : Requirements, Semantic Annotation Model and Relationship Meta-model". Doctoral thesis, Stockholms universitet, Institutionen för data- och systemvetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-117035.
Texto completoProcesshantering, också kallat ärendehantering, har blivit en av de viktigaste ansatserna för att utforma dagens organisationer och informationssystem. En central komponent i processhantering är processmodellering. Det är allmänt känt att modellering av processer kan vara en komplex, tidskrävande och felbenägen uppgift. Och de insatser som görs för att modellera processer kan sällan användas bortom processernas ursprungliga syfte. Återanvändning av processmodeller skulle kunna övervinna många av de utmaningar som finns med att modellera processer. En katalog över processmodeller är ett steg mot att stödja återanvändning av processmodeller. Denna avhandling börjar med observationen att befintliga processmodellkataloger för att stödja återanvändning av processmodeller lider av flera brister som påverkar deras användbarhet i praktiken. För det första är de flesta processmodellkatalogerna proprietära, och därför kan endast katalogägarna förbättra eller utöka dem med nya modeller. För det andra är det svårt att finna och hämta relevanta processmodeller från en stor katalog. För det tredje är processmodeller inte målrelaterade, vilket gör det svårt att få en förståelse för de affärsmål som realiseras av en viss modell. Slutligen så saknar processmodellkataloger ofta en tydlig mekanism för att identifiera och definiera förhållandet mellan processer, och därför är det svårt att identifiera relaterade processer. Utifrån ett designvetenskapligt forskningsparadigm så föreslår denna avhandling en öppen och språkoberoende processmodellkatalog med ett effektivt söksystem för att stödja återanvändning av processmodeller. Den föreslagna katalogen bygger på fyra originella och inbördes relaterade bidrag: (1) en uppsättning krav som en processmodellkatalog bejöver uppfylla för att öka möjligheterna till återanvändning av processmodeller; (2) en kontextbaserad semantisk processannoteringsmodell för semantisk annotering av processmodeller för att underlätta effektivt återvinnande av processmodeller; (3) en metamodell för processrelationer för att identifiera och definiera förhållandet mellan processmodeller i katalogen; och (4) en arkitektur av en processmodellkatalog för återanvändning av processmodeller. De modeller och den arkitektur som tagits fram i denna avhandling har utvärderats för att testa deras användbarhet, kvalitet och effektivitet. Den semantiska annotationsmodellen utvärderades genom två empiriska studier med kontrollerade experiment. Slutsatsen av de två studierna är att modellen förbättrar sökning, navigering och förståelse för processmodeller. Metamodellen för processrelationer utvärderades med hjälp av ett informerat argument för att avgöra i vilken utsträckning den uppfyllde de ställda kraven. Resultaten av analysen visade att metamodellen uppfyllde dessa krav. Även analysen av arkitekturen indikerade att denna uppfyllde de fastställda kraven.
Jones, Martin Robert. "Deep metabolome annotation of the freshwater model species, Daphnia magna". Thesis, University of Birmingham, 2017. http://etheses.bham.ac.uk//id/eprint/7984/.
Texto completoKhalili, Ali. "A Semantics-based User Interface Model for Content Annotation, Authoring and Exploration". Doctoral thesis, Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-159956.
Texto completoBanks, Russell K. "Annotation Tools for Multivariate Gene Set Testing of Non-Model Organisms". DigitalCommons@USU, 2015. https://digitalcommons.usu.edu/etd/4515.
Texto completoHarmon, Trev R. "On-Line Electronic Document Collaboration and Annotation". Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1589.pdf.
Texto completoBasu, Roy Sreeya. "Automated Annotation of Simulink Generated C Code Based on the Simulink Model". Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-284564.
Texto completoDet har skett en våg av omvandling inom fordonsindustrin i de senas- te åren, där de flesta fordonsfunktioner nu styrs elektroniskt istället för mekaniskt. Detta har lett till en exponentiell ökning i komplexite- ten av programvarufunktioner i fordon, vilket gör det väsentligt för tillverkare att kunna garantera deras korrekthet. Traditionell testning av programvara är nära sina gränser och driver därför bilindustrin att utforska andra former av kvalitetssäkring. En teknik som har fått fart genom åren är en uppsättning verifieringstekniker baserade på matematisk logik som kallas formella verifikationstekniker. Även om formella tekniker ännu inte har införts på en stor skala erbjuder dessa metoder systematisk och möjligen mer genomgripande verifiering av programvaran som testas, eftersom dess grund är baserad på mate- matikens principer. För att kunna tillämpa formell verifiering behöver systemet som testas omvandlas till en formell modell och en upp- sättning egenskaper över sådana modeller, som sedan kan verifieras med hjälp av några väletablerade formella verifieringstekniker, såsom modellkontroll eller deduktiv verifiering. Denna avhandling fokuse- rar på formell verifiering av automatiskt genererad C-kod baserad på Simulink-modeller med hjälp av deduktiva verifieringstekniker. Mer specifikt är syftet att undersöka om den genererade koden automa- tiskt kan antecknas med den underliggande Simulink-modellen som en körbar specifikation, vilket då skulle göra den lämplig för verifiering med toppmoderna verktyg. Vår undersökning av Simulink-genererad C-kod visar att samma sak kan kommenteras när den motsvarande Simulink-modellen används som en körbar specifikation. Följaktligen föreslår vi en algoritm som automatiserar anteckningsgenereringen och dess injektion i C-kod för en specifik klass av Simulink-modeller och kod genererad under specifika förhållanden. Lyckad verifiering skulle betyda att koden uppfyller alla funktionella egenskaper av mo- dellen oavsett vilken kodgenerator som används.Vi validerar vår strategi med en prototypimplementering av enBrake-by-Wire (BBW) -funktionalitet för tunga lastbilar. De mesta funk- tionella egenskaperna för den genererade koden var uppfyllda.
Dorribo, Camba Jorge. "ANNOTATION MECHANISMS TO MANAGE DESIGN KNOWLEDGE IN COMPLEX PARAMETRIC MODELS AND THEIR EFFECTS ON ALTERATION AND REUSABILITY". Doctoral thesis, Universitat Politècnica de València, 2015. http://hdl.handle.net/10251/45997.
Texto completoDorribo Camba, J. (2014). ANNOTATION MECHANISMS TO MANAGE DESIGN KNOWLEDGE IN COMPLEX PARAMETRIC MODELS AND THEIR EFFECTS ON ALTERATION AND REUSABILITY [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/45997
TESIS
Li, Honglin. "Hierarchical video semantic annotation the vision and techniques /". Connect to this title online, 2003. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1071863899.
Texto completoTitle from first page of PDF file. Document formatted into pages; contains xv, 146 p.; also includes graphics. Includes bibliographical references (p. 136-146).
Park, Gyoungju Nah. "Comparative Genomics in Two Dicot Model Systems". Diss., The University of Arizona, 2008. http://hdl.handle.net/10150/194279.
Texto completoKhan, Hamza. "De novo annotation of non-model organisms using whole genome and transcriptome shotgun sequencing". Thesis, University of British Columbia, 2016. http://hdl.handle.net/2429/60152.
Texto completoTian, Tian. "Domain Adaptation and Model Combination for the Annotation of Multi-source, Multi-domain Texts". Thesis, Paris 3, 2019. http://www.theses.fr/2019PA030003.
Texto completoThe increasing mass of User-Generated Content (UGC) on the Internet means that people are now willing to comment, edit or share their opinions on different topics. This content is now the main ressource for sentiment analysis on the Internet. Due to abbreviations, noise, spelling errors and all other problems with UGC, traditional Natural Language Processing (NLP) tools, including Named Entity Recognizers and part-of-speech (POS) taggers, perform poorly when compared to their usual results on canonical text (Ritter et al., 2011).This thesis deals with Named Entity Recognition (NER) on some User-Generated Content (UGC). We have created an evaluation dataset including multi-domain and multi-sources texts. We then developed a Conditional Random Fields (CRFs) model trained on User-Generated Content (UGC).In order to improve NER results in this context, we first developed a POStagger on UGC and used the predicted POS tags as a feature in the CRFs model. To turn UGC into canonical text, we also developed a normalization model using neural networks to propose a correct form for Non-Standard Words (NSW) in the UGC
各种社交网络应用使得互联网用户对各种话题的实时评价,编辑和分享成为可能。这类用户生成的文本内容(User Generated content)已成为社交网络上意见分析的主要目标和来源。但是,此类文本内容中包含的缩写,噪声(不规则词),拼写错误以及其他各种问题导致包括命名实体识别,词性标注在内的传统的自然语言处理工具的性能,相比良好组成的文本降低了许多【参见Ritter 2011】。本论文的主要目标是针对社交网络上用户生成文本内容的命名实体识别。我们首先建立了一个包含多来源,多领域文本的有标注的语料库作为标准评价语料库。然后,我们开发了一个由社交网络用户生成文本训练的基于条件随机场(Conditional Random Fields)的序列标注模型。基于改善这个命名实体识别模型的目的,我们又开发了另一个同样由社交网络用户生成内容训练的词性标注模型,并使用此模型预测的词性作为命名实体识别的条件随机场模型的特征。最后,为了将用户生成文本内容转换成相对标准的良好文本内容,我们开发了一个基于神经网络的词汇标准化模型,用以改正用户生成文本内容中的不标准字,并使用模型提供的改正形式作为命名实体识别的条件随机场模型的特征,借以改善原模型的性能。
Rissanen, Mikko Juhani. "Virtual reality based teaching of psychomotor skills : annotation model for asynchronous communication in dynamic virtual environments". 京都大学 (Kyoto University), 2007. http://hdl.handle.net/2433/135987.
Texto completoDessaigne, Nicolas. "Le modèle DOAN (DOcument ANnotation Model) : modélisation de l'information complexe appliquée à la plateforme Arisem Kaliwatch Server". Phd thesis, Université de Nantes, 2005. http://tel.archives-ouvertes.fr/tel-00465962.
Texto completoKimbung, Stanley Mbandi. "A computational framework for transcriptome assembly and annotation in non-model organisms: the case of venturia inaequalis". Thesis, University of the Western Cape, 2014. http://hdl.handle.net/11394/4022.
Texto completoIn this dissertation three computational approaches are presented that enable optimization of reference-free transcriptome reconstruction. The first addresses the selection of bona fide reconstructed transcribed fragments (transfrags) from de novo transcriptome assemblies and annotation with a multiple domain co-occurrence framework. We showed that selected transfrags are functionally relevant and represented over 94% of the information derived from annotation by transference. The second approach relates to quality score based RNA-seq sub-sampling and the description of a novel sequence similarity-derived metric for quality assessment of de novo transcriptome assemblies. A detail systematic analysis of the side effects induced by quality score based trimming and or filtering on artefact removal and transcriptome quality is describe. Aggressive trimming produced incomplete reconstructed and missing transfrags. This approach was applied in generating an optimal transcriptome assembly for a South African isolate of V. inaequalis. The third approach deals with the computational partitioning of transfrags assembled from RNA-Seq of mixed host and pathogen reads. We used this strategy to correct a publicly available transcriptome assembly for V. inaequalis (Indian isolate). We binned 50% of the latter to Apple transfrags and identified putative immunity transcript models. Comparative transcriptomic analysis between fungi transfrags from the Indian and South African isolates reveal effectors or transcripts that may be expressed in planta upon morphogenic differentiation. These studies have successfully identified V. inaequalis specific transfrags that can facilitate gene discovery. The unique access to an in-house draft genome assembly allowed us to provide preliminary description of genes that are implicated in pathogenesis. Gene prediction with bona fide transfrags produced 11,692 protein-coding genes. We identified two hydrophobin-like genes and six accessory genes of the melanin biosynthetic pathway that are implicated in the invasive action of the appressorium. The cazyome reveals an impressive repertoire of carbohydrate degrading enzymes and carbohydrate-binding modules amongst which are six polysaccharide lyases, and the largest number of carbohydrate esterases (twenty-eight) known in any fungus sequenced to date
Cleynen, Alice. "Approches statistiques en segmentation : application à la ré-annotation de génome". Phd thesis, Université Paris Sud - Paris XI, 2013. http://tel.archives-ouvertes.fr/tel-00913851.
Texto completoHacid, Kahina. "Handling domain knowledge in system design models. An ontology based approach". Phd thesis, Toulouse, INPT, 2018. http://oatao.univ-toulouse.fr/20157/7/HACID_kahina.pdf.
Texto completoKhalili, Ali [Verfasser], Klaus-Peter [Gutachter] Fähnrich y ia Roberto [Gutachter] Garc. "A Semantics-based User Interface Model for Content Annotation, Authoring and Exploration / Ali Khalili ; Gutachter: Klaus-Peter Fähnrich, Roberto Garc ia". Leipzig : Universitätsbibliothek Leipzig, 2015. http://d-nb.info/123942311X/34.
Texto completoAndrade, Guidson Coelho de. "Semantic enrichment of American English corpora through automatic semantic annotation based on top-level ontologies using the CRF clas- sification model". Universidade Federal de Viçosa, 2018. http://www.locus.ufv.br/handle/123456789/21639.
Texto completoMade available in DSpace on 2018-09-05T12:51:49Z (GMT). No. of bitstreams: 1 texto completo.pdf: 1357733 bytes, checksum: 0b0fc46e7358bfaa6996ea4bcbd760d0 (MD5) Previous issue date: 2018-04-26
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
O significado de bases de dados textuais é de fácil percepção para as pessoas, mas de difícil interpretação por parte dos computadores. Para que as máquinas possam compreender a semântica associada aos textos e não somente a sintaxe, é necessário a adição de informações extras a esses corpora. A anotação semântica é a tarefa que incorpora essas informações por meio da adição de metadados aos itens lex- icais. Essas informações podem ser conceitos ontológicos que ajudam a definir a natureza da palavra a fim de atribuir-lhe algum significado. No entanto, anotar textos segundo uma determinada ontologia ainda é uma tarefa que demanda tempo e esforço de anotadores treinados para esse fim. Outra abordagem a ser consid- erada é o desenvolvimento de ferramentas de anotação semântica automática que utilizem técnicas de aprendizado de máquina para classificar os termos anotados. Essa abordagem demanda uma base de dados para treinamento dos algoritmos que nesse caso são corpora pré-anotados segundo a dimensão semântica a ser explorada. Entretanto, essa linhagem metodológica dispõe de recursos limitados para suprir as necessidades dos métodos de aprendizado. Existe uma grande carência de corpora anotados semanticamente e, particularmente, uma ausência ainda maior de corpora ontologicamente anotados, dificultando o avanço da área de anotação semântica au- tomática. O objetivo do presente trabalho é auxiliar no enriquecimento semântico de textos do Inglês americano, anotando-os de forma automática baseando-se em ontologia de nível topo através do modelo de aprendizagem supervisionada Condi- tional Random Fields (CRF). Após a seleção do Open American National Corpus como base de dados linguística e da Schema.org como ontologia, o trabalho teve sua estrutura dividida em duas etapas. Primeiramente, o corpus pré-processado e corrigido foi submetido a uma anotação híbrida, com um anotador baseado em re- gras e, posteriormente, uma anotação complementar manual. Ambas as tarefas de anotação foram dirigidas pelos conceitos e definições das oito classes provenientes do nível topo da ontologia selecionada. De posse do corpus anotado ontologicamente, iniciou-se o processo de anotação automática via uso do método de aprendizagem CRF. O modelo de predição levou em consideração as características linguísticas e estruturais dos termos para classificá-los sob os oito tipos ontológicos. Os resulta- dos obtidos durante a avaliação do modelo foram muito satisfatórios e atingiram o objetivo da pesquisa. O trabalho, embora seja uma nova abordagem de anotação semântica e com pouca margem de comparação, apresentou resultados promissores para o avanço da pesquisa na área de enriquecimento semântico automático baseado em ontologias de nível topo.
Textual databases carry with them human-perceived meanings, but those meanings are difficult to be interpreted by computers. In order for the machines to understand the semantics attached to texts, and not only their syntax, it is necessary to add extra information to these corpora. Semantic annotation is the task of incorporat- ing this information by adding metadata to lexical items. This information can be ontological concepts that help define the nature of the word in order to give it some meaning. However, annotating texts according to an ontology is still a task that requires time and effort from annotators trained for this purpose. Another approach to be considered is the use of automatic semantic annotation tools that use machine learning techniques to classify annotated terms. This approach demands a database for training the algorithms that in this case are corpora pre-annotated according to the semantic dimension to be explored. However, this methodological lineage has limited resources to meet the needs of learning methods. There is a large lack of semantically annotated corpora and an even larger absence of ontologically anno- tated corpora, hindering the advance of the area of automatic semantic annotation. The purpose of the present work is to assist in the semantic enrichment of Amer- ican English texts by automatically annotating them based on top-level ontology through the Conditional Random Fields (CRF) supervised learning model. After the selection of the Open American National Corpus as a linguistic database and Schema.org as an ontology, the work had its structure divided into two stages. First, the pre-processed and corrected corpus was submitted to a hybrid annotation, with a rule-based annotator, and later manually. Both annotation tasks were driven by the concepts and definitions of the eight classes from the top-level of the selected ontology. Once the corpus was written ontologically, the automatic annotation pro- cess was started using the CRF learning method. The prediction model took into account the linguistic and structural features of the terms to classify them under the eight ontological types. The results obtained during the evaluation of the model were very satisfactory and reached the objective of the research. The work, although it is a new approach of semantic annotation and with little margin of comparison, presented promising results for the advance of the research in the area of automatic semantic enrichment based on top-level ontologies.
Tayari, Meftah Imen. "Modélisation, détection et annotation des états émotionnels à l'aide d'un espace vectoriel multidimensionnel". Phd thesis, Université Nice Sophia Antipolis, 2013. http://tel.archives-ouvertes.fr/tel-00838803.
Texto completoRiviere, Peter. "Génération automatique d’obligations de preuves paramétrée par des théories de domaine dans Event-B : Le cadre de travail EB4EB". Electronic Thesis or Diss., Université de Toulouse (2023-....), 2024. http://www.theses.fr/2024TLSEP052.
Texto completoNowadays, we are surrounded by complex critical systems such as microprocessors, railways, home appliances, robots, aeroplanes, and so on. These systems are extremely complex and are safety-critical, and they must be verified and validated. The use of state-based formal methods has proven to be effective in designing complex systems. Event-B has played a key role in the development of such systems. Event-B is a formal system design method that is state-based and correct-by-construction, with a focus on proof and refinement. Event-B facilitates verification of properties such as invariant preservation, convergence, and refinement by generating and discharging proof obligations.Additional properties for system verification, such as deadlock-freeness, reachability, and liveness, must be explicitly defined and verified by the designer or formalised using another formal method. Such an approach reduces re-usability and may introduce errors, particularly in complex systems.To tackle these challenges, we introduced the reflexive EB4EB framework in Event-B. In this framework, each Event-B concept is formalised as a first-class object using First Order Logic (FOL) and set theory. This framework allows for the manipulation and analysis of Event-B models, with extensions for additional, non-intrusive analyses such as temporal properties, weak invariants, deadlock freeness, and so on. This is accomplished through Event-B Theories, which extend the Event-B language with the theory's defined elements, and also by formalising and articulating new proof obligations that are not present in traditional Event-B. Furthermore, Event-B's operational semantics (based on traces) have been formalised, along with a framework for guaranteeing the soundness of the defined theorems, including operators and proof obligations. Finally, the proposed framework and its extensions have been validated across multiple case studies, including Lamport's clock case study, read/write processes, the Peterson algorithm, Automated Teller Machine (ATM), autonomous vehicles, and so on
Haertel, Robbie A. "Practical Cost-Conscious Active Learning for Data Annotation in Annotator-Initiated Environments". BYU ScholarsArchive, 2013. https://scholarsarchive.byu.edu/etd/4242.
Texto completoZhu, Bingyao [Verfasser], Jörg [Akademischer Betreuer] Stülke, Jörg [Gutachter] Stülke, Fabian Moritz [Gutachter] Commichau y Burkhard [Gutachter] Morgenstern. "SubtiWiki 3.0: A relational database for the functional genome annotation of the model organism Bacillus subtilis / Bingyao Zhu ; Gutachter: Jörg Stülke, Fabian Moritz Commichau, Burkhard Morgenstern ; Betreuer: Jörg Stülke". Göttingen : Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2018. http://d-nb.info/1152437682/34.
Texto completoWodke, Judith. "Organization and integration of large-scale datasets for designing a metabolic model and re-annotating the genome of mycoplasma pneumoniae". Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät I, 2013. http://dx.doi.org/10.18452/16699.
Texto completoMycoplasma pneumoniae, one of the smallest known self-replicating organisms, is a promising model organism in systems biology when aiming to assess understanding of an entire living cell. One key step towards this goal is the design of mathematical models that describe cellular processes by connecting the involved components to unravel underlying mechanisms. For Mycoplasma pneumoniae, a wealth of genome-wide datasets on genomics, transcriptomics, proteomics, and metabolism had been produced. However, a proper system facilitating information exchange and mathematical models to integrate the different datasets were lacking. Also, different in vivo observations of metabolic behavior remained unexplained. This thesis presents a combinatorial approach to design a metabolic model for Mycoplasma pneumoniae. First, we developed a database, MyMpn, in order to provide access to structured and organized data. Second, we built a predictive, genome-scale, constraint-based metabolic model and, in parallel, we explored the metabolome in vivo. We defined the biomass composition of a Mycoplasma pneumoniae cell, corrected the wiring diagram, showed that a large proportion of energy is dedicated to cellular homeostasis, and analyzed the metabolic behavior under different growth conditions. Finally, we manually re-annotated the genome of Mycoplasma pneumoniae. The database, despite not yet being released to the public, is internally already used for data analysis, and for mathematical modeling. Unraveling the principles governing energy metabolism and adaptive capabilities upon gene deletion highlight the impact of the reductive genome evolution and facilitates the development of engineering tools and dynamic models for metabolic sub-systems. Furthermore, we revealed that the degree of complexity in which the genome of Mycoplasma pneumoniae is organized far exceeds what has been considered possible so far and we identified 32 new, previously not annotated genes.
Hak, Jean-Luc. "Engineering annotations for supporting the design process of interactive systems : a model based approach and a tool suite". Thesis, Toulouse 3, 2019. http://www.theses.fr/2019TOU30062.
Texto completoDuring the development process of an interactive system, different actors collaborate in the activities of this process and several design choices are made to converge to a solution that meets both user needs and requirements. To achieve this solution, many artifacts are produced, used and reviewed by the various stakeholders of the process. In order to communicate on particular points of an artifact, to collaborate in its elaboration or simply to add additional information, annotations can be created on these artifacts. Depending on the annotations and their contents, some artefacts may subsequently evolve, thus reflecting the influence of annotations on these artifacts and therefore reflecting their influence on the project. Thus, it is possible to consider annotations as a versatile tool playing a significant role in the design process. Nevertheless, several issues can be identified regarding the integration of annotations within the activities of the design process of interactive systems. First, the role of annotations is not clearly defined in the different design processes. While there is a widespread and a ubiquitous use of annotations in the design of interactive systems, current design processes do not address how to relate them to the tasks to be performed and the artifacts to be produced. Secondly, an annotation can be related to several artifacts as each models are giving a complementary representation of the interactive system. However, the multiplicity of artifact types and tools for creating these artifacts is a problem since each tool that provide features for annotations implements their own annotation model. These models are usually restricted to one type of artifact: the one handled by the tool. This implies that the annotations produced within a project are scattered by sets and that each these annotation set is closed to a single type of artifact. This PhD thesis is based on an analysis of annotations and their uses as well as on the W3C "Web Annotation Data Model" recommendation to propose an annotation model and an architecture to centralize the annotations of a project. This architecture also allows to include the annotations support on various tools and type of artifacts. This contribution has been applied on three different case studies to explore the possible integrations of annotations within a design process. The first case study demonstrates the integration and customization of annotations within a prototyping tool. The second case study focuses on the presentation of a tool allowing to consult in a single view all the annotations created on different artefacts and on different models of a project. The third case study illustrates an integration of annotations into an industrial environment that includes existing tools and an existing design process. Thus, these contributions around annotations are used as a basis for the realization of complementary works such as the use of annotations to structure and connect the different models of an interactive system, the use of annotations as a resource for the decisions making processes, and the use of annotations to study the traceability of the evolution of an interactive system. Indeed, by linking the artifacts to each other using annotations and justifying the choice of designs with annotations, it would be possible to ensure the traceability of the different design choices made during a project as well as the traceability of the impact of these different choices on the artifacts
Daoust, François. "Modélisation informatique de structures dynamiques de segments textuels pour l'analyse de corpus". Phd thesis, Université de Franche-Comté, 2011. http://tel.archives-ouvertes.fr/tel-00870410.
Texto completoDi, Francescomarino Chiara. "Semantic annotation of business process models". Doctoral thesis, Università degli studi di Trento, 2011. https://hdl.handle.net/11572/367849.
Texto completoDi, Francescomarino Chiara. "Semantic annotation of business process models". Doctoral thesis, University of Trento, 2011. http://eprints-phd.biblio.unitn.it/547/1/DiFrancescomarino_Chiara.pdf.
Texto completoWagner, Darlene Darlington. "Comparative genomics reveal ecophysiological adaptations of organohalide-respiring bacteria". Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45916.
Texto completoPetkova, Desislava I. "Cluster-based relevance models for automatic image annotation /". Connect to online version, 2005. http://ada.mtholyoke.edu/setr/websrc/pdfs/www/2005/124.pdf.
Texto completoBannour, Hichem. "Building and Using Knowledge Models for Semantic Image Annotation". Phd thesis, Ecole Centrale Paris, 2013. http://tel.archives-ouvertes.fr/tel-00905953.
Texto completoLevy, Mark. "Retrieval and annotation of music using latent semantic models". Thesis, Queen Mary, University of London, 2012. http://qmro.qmul.ac.uk/xmlui/handle/123456789/2969.
Texto completoMahadevan, Gayatri P. "Automatic back annotation of timing into VHDL behavioral models". Thesis, This resource online, 1995. http://scholar.lib.vt.edu/theses/available/etd-06102009-063425/.
Texto completoAmir, Mohammad. "Semantically-enriched and semi-Autonomous collaboration framework for the Web of Things. Design, implementation and evaluation of a multi-party collaboration framework with semantic annotation and representation of sensors in the Web of Things and a case study on disaster management". Thesis, University of Bradford, 2015. http://hdl.handle.net/10454/14363.
Texto completoMANGONE, IOLANDA. "Structure-based functional annotation methods: development and assessment on homology models". Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2012. http://hdl.handle.net/2108/202203.
Texto completoOng, Wai, Trang Vu, Klaus Lovendahl, Jenna Llull, Margrethe Serres, Margaret Romine y Jennifer Reed. "Comparisons of Shewanella strains based on genome annotations, modeling, and experiments". BioMed Central, 2014. http://hdl.handle.net/10150/610105.
Texto completoLin, Yun. "Semantic Annotation for Process Models : Facilitating Process Knowledge Management via Semantic Interoperability". Doctoral thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2008. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-2119.
Texto completoBusiness process models representing process knowledge about doing business are necessary for designing Information Systems (IS) solutions in enterprises. Interoperability of business process knowledge in legacy systems is crucial for enterprise systems interoperation and integration due to increased enterprise cooperation and business exchange. Many modern technologies and approaches are deployed to support business process interoperability either at the instance level or the protocol level, such as BPML, WSDL and SOAP. However, we argue that a holistic approach is necessary for semantic interoperability of business process models at the conceptual level when considering the process models as reusable process knowledge for other (new or integrated) IS solutions. This brings requirements to manage semantic heterogeneity of process knowledge in process models which are distributed across different enterprise systems. Semantic annotation is an approach to achieve semantic interoperability of heterogeneous resources. However, such an approach has usually been applied to enhance the semantics of unstructured and structured artifacts (e.g. textual resources [72] [49], and Web services [166] [201]).
The aim of the research is to introduce an ontology-based semantic annotation approach to enrich and reconcile semantics of process models — a kind of semi-structured artifact, for managing process knowledge. The approach brings together techniques in process modeling, ontology building, semantic matching, and Description Logic inference in order to provide a comprehensive semantic annotation framework. Furthermore, a prototype system that supports the process of ontology-based semantic annotation of heterogeneous process models is described. The applicational goal of our approach is to facilitate process knowledge management activities (e.g. discovery, reuse, and integration of process knowledge/models) by enhanced semantic interoperability.
A survey has been performed through identifying semantic heterogeneity in process modeling and investigating semantic technology from theoretical and practical views. Based on the results from the survey, a comprehensive semantic annotation framework has been developed, which provides a method to manage semantic heterogeneity of process models from the following perspectives. First, basic descriptions of process models (profile annotation); second, process modeling languages (meta-model annotation); third, contents of process models (model annotation) and finally intentions of process model owners (goal annotation). Applying the semantic annotation framework, an ontology-based annotation method has been elaborated, which results in two categories of research activity — ontology building and semantic mapping. In ontology building, we use Web Ontology Language (OWL), a Semantic Web technology, which can be used to model ontologies. GPO (General Process Ontology) comprising core concepts in most process modeling languages is proposed; domain concepts are classified in the corresponding categories of GPO as a domain ontology; design principles for building a goal ontology are introduced in order to serve the annotation of process models pragmatically. In semantic mapping, a set of mapping strategies are developed to conduct the annotation by considering the semantic relationships between model artifacts and ontology references and as well the semantic inference mechanism supported by OWL DL (Description Logic). The annotation method is finally formalized into a process semantic annotation model - PSAM.
The proposed approach has been implemented in a prototype annotation tool —ProSEAT to facilitate the annotation process. Procedures of applying the semantic annotation approach with the tool are described through exemplar study. The annotation approach and the prototype tool are evaluated using a quality framework. Furthermore, the applicability of the annotation results is validated by going through a process knowledge management application. The Semantic Web Rule Language (SWRL) is applied in the application demonstration. We argue that the ontology-based annotation approach combined with the Semantic Web technology is a feasible approach to reconcile semantic heterogeneity in the process knowledge management. Limitations and future work are discussed after concluding this research work.
The contributions of this thesis are summarized as follows. First, a general process ontology is proposed for unifying process representations at a high level of abstraction. Second, a semantic annotation framework is introduced to describe process knowledge systematically. Third, ontology-based annotation methods are elaborated and formalized. Fourth, an annotation system, utilizing the developed formal methods, is designed and implemented. Fifth, a process knowledge management system is outlined as the platform for manipulating the annotation results. Moreover, applying results of the approach is demonstrated through a process model integration example.
Hammarkvist, Tom. "Automatic Annotation of Models for Object Classification in Real Time Object Detection". Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-86061.
Texto completoWimalaratne, Sarala M. "A framework for annotating and visualizing cellML models". Thesis, University of Auckland, 2009. http://hdl.handle.net/2292/5606.
Texto completoSoavi, Michele. "From Legal Contracts to Formal Specifications". Doctoral thesis, Università degli studi di Trento, 2022. https://hdl.handle.net/11572/355741.
Texto completoMartins, Diogo Santana. "Models and operators for extension of active multimedia documents via annotations". Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-30012014-082907/.
Texto completoProdução multimídia é uma atividade complexa composta por múltiplas atividades de gerência e transformação de informação, as quais suportam um objetivo de criar conteúdo. Exemplos dessas atividades são estruturação, organização, modificação e versionamento de elementos de mídia, os quais dependem da manutenção de documentos auxiliares e metadados. Em produções profissionais, as quais podem contar com recursos humanos e materiais adequados, tal documentação é mantida pela equipe de produção, sendo instrumental para garantir a uma alta qualidade no produto final. Em configurações com menos recursos, como produções amadoras, ao menos padrões razoáveis de qualidade são desejados na maioria dos casos, contudo a dificuldade em gerenciar e transformar conteúdo pode inibir amadores a produzir conteúdo com qualidade aceitável. Esse problema tem sido atacado em várias frentes, por exemplo via métodos de anotação, métodos de navegação e técnicas de autoria, apenas para nomear algumas. Nesta tese, o objetivo principal é tirar proveito de anotações criadas pelo usuário com o intuito de apoiar autoria multimídia por amadores. De modo a subsidiar esse objetivo, as contribuições são construídas em torno uma abordagem de autoria baseada em documentos multimídia estruturados. Primeiramente, uma linguagem customizada para documentos multimídia baseados na Web é definida, baseada na linguagem SMIL (Synchronized Multimedia Integration Language). Esta linguagem traz diversas contribuições, como a formalização de um modelo estendido para formatação temporal baseado em grafos, edição ao vivo de elementos de um documento e funcionalidades de reúso. Em segundo, um modelo para anotação de documentos e uma álgebra para transformação de documentos são definidos, ambos permitindo composição e extração de fragmentos de documentos multimídia com base em anotações. Em terceiro, as contribuições anteriores são integradas em uma ferramenta de autoria baseada na Web, a qual permite manipular um documento enquanto o mesmo está ativo. Tais manipulações envolvem diferentes técnicas de interação com o objetivo de enriquecer, editar, publicar e estender documentos multimídia interativos. As contribuições são instanciadas com sessões multimídia obtidas de ferramentas de colaboração síncrona, em cenários de aulas baseadas em vídeos, reuniões e pesquisa qualitativa baseada em vídeos. Tais instanciações demonstram a aplicabilidade e utilidade das contribuições
Ugarte, Ari. "Combining machine learning and evolution for the annotation of metagenomics data". Thesis, Paris 6, 2016. http://www.theses.fr/2016PA066732/document.
Texto completoMetagenomics is used to study microbial communities by the analyze of DNA extracted directly from environmental samples. It allows to establish a catalog very extended of genes present in the microbial communities. This catalog must be compared against the genes already referenced in the databases in order to find similar sequences and thus determine their function. In the course of this thesis, we have developed MetaCLADE, a new methodology that improves the detection of protein domains already referenced for metagenomic and metatranscriptomic sequences. For the development of MetaCLADE, we modified an annotation system of protein domains that has been developed within the Laboratory of Computational and Quantitative Biology clade called (closer sequences for Annotations Directed by Evolution) [17]. In general, the methods for the annotation of protein domains characterize protein domains with probabilistic models. These probabilistic models, called sequence consensus models (SCMs) are built from the alignment of homolog sequences belonging to different phylogenetic clades and they represent the consensus at each position of the alignment. However, when the sequences that form the homolog set are very divergent, the signals of the SCMs become too weak to be identified and therefore the annotation fails. In order to solve this problem of annotation of very divergent domains, we used an approach based on the observation that many of the functional and structural constraints in a protein are not broadly conserved among all species, but they can be found locally in the clades. The approach is therefore to expand the catalog of probabilistic models by creating new models that focus on the specific characteristics of each clade. MetaCLADE, a tool designed with the objective of annotate with precision sequences coming from metagenomics and metatranscriptomics studies uses this library in order to find matches between the models and a database of metagenomic or metatranscriptomic sequences. Then, it uses a pre-computed step for the filtering of the sequences which determine the probability that a prediction is a true hit. This pre-calculated step is a learning process that takes into account the fragmentation of metagenomic sequences to classify them. We have shown that the approach multi source in combination with a strategy of meta-learning taking into account the fragmentation outperforms current methods
Ugarte, Ari. "Combining machine learning and evolution for the annotation of metagenomics data". Electronic Thesis or Diss., Paris 6, 2016. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2016PA066732.pdf.
Texto completoMetagenomics is used to study microbial communities by the analyze of DNA extracted directly from environmental samples. It allows to establish a catalog very extended of genes present in the microbial communities. This catalog must be compared against the genes already referenced in the databases in order to find similar sequences and thus determine their function. In the course of this thesis, we have developed MetaCLADE, a new methodology that improves the detection of protein domains already referenced for metagenomic and metatranscriptomic sequences. For the development of MetaCLADE, we modified an annotation system of protein domains that has been developed within the Laboratory of Computational and Quantitative Biology clade called (closer sequences for Annotations Directed by Evolution) [17]. In general, the methods for the annotation of protein domains characterize protein domains with probabilistic models. These probabilistic models, called sequence consensus models (SCMs) are built from the alignment of homolog sequences belonging to different phylogenetic clades and they represent the consensus at each position of the alignment. However, when the sequences that form the homolog set are very divergent, the signals of the SCMs become too weak to be identified and therefore the annotation fails. In order to solve this problem of annotation of very divergent domains, we used an approach based on the observation that many of the functional and structural constraints in a protein are not broadly conserved among all species, but they can be found locally in the clades. The approach is therefore to expand the catalog of probabilistic models by creating new models that focus on the specific characteristics of each clade. MetaCLADE, a tool designed with the objective of annotate with precision sequences coming from metagenomics and metatranscriptomics studies uses this library in order to find matches between the models and a database of metagenomic or metatranscriptomic sequences. Then, it uses a pre-computed step for the filtering of the sequences which determine the probability that a prediction is a true hit. This pre-calculated step is a learning process that takes into account the fragmentation of metagenomic sequences to classify them. We have shown that the approach multi source in combination with a strategy of meta-learning taking into account the fragmentation outperforms current methods
Miu, Tudor Alin. "Online learning of personalised human activity recognition models from user-provided annotations". Thesis, University of Newcastle upon Tyne, 2017. http://hdl.handle.net/10443/3635.
Texto completoShmeleva, Nataliya V. "Making sense of cDNA : automated annotation, storing in an interactive database, mapping to genomic DNA". Thesis, Georgia Institute of Technology, 2002. http://hdl.handle.net/1853/25178.
Texto completoScheeff, Eric David. "Multiple alignments of protein structures and their application to sequence annotation with hidden Markov models /". Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2003. http://wwwlib.umi.com/cr/ucsd/fullcit?p3112860.
Texto completoAlili, Hiba. "Intégration de données basée sur la qualité pour l'enrichissement des sources de données locales dans le Service Lake". Thesis, Paris Sciences et Lettres (ComUE), 2019. http://www.theses.fr/2019PSLED019.
Texto completoIn the Big Data era, companies are moving away from traditional data-warehouse solutions whereby expensive and timeconsumingETL (Extract, Transform, Load) processes are used, towards data lakes in order to manage their increasinglygrowing data. Yet the stored knowledge in companies’ databases, even though in the constructed data lakes, can never becomplete and up-to-date, because of the continuous production of data. Local data sources often need to be augmentedand enriched with information coming from external data sources. Unfortunately, the data enrichment process is one of themanual labors undertaken by experts who enrich data by adding information based on their expertise or select relevantdata sources to complete missing information. Such work can be tedious, expensive and time-consuming, making itvery promising for automation. We present in this work an active user-centric data integration approach to automaticallyenrich local data sources, in which the missing information is leveraged on the fly from web sources using data services.Accordingly, our approach enables users to query for information about concepts that are not defined in the data sourceschema. In doing so, we take into consideration a set of user preferences such as the cost threshold and the responsetime necessary to compute the desired answers, while ensuring a good quality of the obtained results
Campos, Martin Rafael [Verfasser], Achim [Gutachter] Tresch y Andreas [Gutachter] Beyer. "Hidden Markov Models for Genomic Segmentation and Annotation / Rafael Campos Martin ; Gutachter: Achim Tresch, Andreas Beyer". Köln : Universitäts- und Stadtbibliothek Köln, 2019. http://d-nb.info/1232912719/34.
Texto completoOkuda, Nozomu. "The Annotation Cost of Context Switching: How Topic Models and Active Learning [May Not] Work Together". BYU ScholarsArchive, 2017. https://scholarsarchive.byu.edu/etd/6906.
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