Готові списки джерел за темами / Extraction de graphes

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Добірка наукової літератури з теми "Extraction de graphes"

Автор: Grafiati
Опубліковано: 28 вересня 2022
Оновлено: 31 липня 2025

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Статті в журналах з теми "Extraction de graphes"

1

Ahmad, Jawad, Abdur Rehman, Hafiz Tayyab Rauf, Kashif Javed, Maram Abdullah Alkhayyal, and Abeer Ali Alnuaim. "Service Recommendations Using a Hybrid Approach in Knowledge Graph with Keyword Acceptance Criteria." Applied Sciences 12, no. 7 (2022): 3544. http://dx.doi.org/10.3390/app12073544.

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Анотація:
Businesses are overgrowing worldwide; people struggle for their businesses and startups in almost every field of life, whether industrial or academic. The businesses or services have multiple income streams with which they generate revenue. Most companies use different marketing and advertisement strategies to engage their customers and spread their services worldwide. Service recommendation systems are gaining popularity to recommend the best services and products to customers. In recent years, the development of service-oriented computing has had a significant impact on the growth of busines
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2

Cramond, Fala, Alison O'Mara-Eves, Lee Doran-Constant, Andrew SC Rice, Malcolm Macleod, and James Thomas. "The development and evaluation of an online application to assist in the extraction of data from graphs for use in systematic reviews." Wellcome Open Research 3 (March 7, 2019): 157. http://dx.doi.org/10.12688/wellcomeopenres.14738.3.

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Анотація:
Background: The extraction of data from the reports of primary studies, on which the results of systematic reviews depend, needs to be carried out accurately. To aid reliability, it is recommended that two researchers carry out data extraction independently. The extraction of statistical data from graphs in PDF files is particularly challenging, as the process is usually completely manual, and reviewers need sometimes to revert to holding a ruler against the page to read off values: an inherently time-consuming and error-prone process. Methods: To mitigate some of the above problems we integra
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3

Hernández-García, Ángel, and Miguel Ángel Conde-González. "Bridging the Gap between LMS and Social Network Learning Analytics in Online Learning." Journal of Information Technology Research 9, no. 4 (2016): 1–15. http://dx.doi.org/10.4018/jitr.2016100101.

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Анотація:
Despite the great potential of social network analysis (SNA) methods and visualizations for learning analytics in computer-supported collaborative learning (CSCL), these approaches have not been fully explored due to two important barriers: the scarcity and limited functionality of built-in tools in Learning Management Systems (LMS), and the difficulty to import educational data from formal virtual learning environments into social network analysis programs. This study aims to cover that gap by introducing GraphFES, an application and web service for extraction of interaction data from Moodle
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4

REBENCIUC, Ioana, and Ovidiu TIȚA. "Influence of Pectolytic Enzymes on the Quality of Wine Maceration." Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca. Animal Science and Biotechnologies 75, no. 1 (2018): 53. http://dx.doi.org/10.15835/buasvmcn-asb:000417.

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Анотація:
Obtaining high-quality wines with a registered designation of origin means making the most of the specific features of the variety and those imprinted with technology and the place of harvesting. The aroma is due to the chemical compounds of terpenic nature that accumulate in the grapes (variety flavors) and the secondary aromas that are formed during the alcoholic fermentation and the aging period of the wines (Amrani, and Glories, 1995). The wine-making of the varieties is followed by the appreciation of the primary grapes. This is achieved by preferential maceration of the must by means of
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5

Psallidas, Fotis, Ashvin Agrawal, Chandru Sugunan, et al. "OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance from Database Query Event Logs." Proceedings of the VLDB Endowment 16, no. 12 (2023): 3662–75. http://dx.doi.org/10.14778/3611540.3611555.

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Анотація:
Provenance encodes information that connects datasets, their generation workflows, and associated metadata (e.g., who or when executed a query). As such, it is instrumental for a wide range of critical governance applications (e.g., observability and auditing). Unfortunately, in the context of database systems, extracting coarse-grained provenance is a long-standing problem due to the complexity and sheer volume of database workflows. Provenance extraction from query event logs has been recently proposed as favorable because, in principle, can result in meaningful provenance graphs for provena
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6

Cramond, Fala, Alison O'Mara-Eves, Lee Doran-Constant, Andrew SC Rice, Malcolm Macleod, and James Thomas. "The development and evaluation of an online application to assist in the extraction of data from graphs for use in systematic reviews." Wellcome Open Research 3 (December 10, 2018): 157. http://dx.doi.org/10.12688/wellcomeopenres.14738.1.

Повний текст джерела
Анотація:
Background: The extraction of data from the reports of primary studies, on which the results of systematic reviews depend, needs to be carried out accurately. To aid reliability, it is recommended that two researchers carry out data extraction independently. The extraction of statistical data from graphs in PDF files is particularly challenging, as the process is usually completely manual, and reviewers need sometimes to revert to holding a ruler against the page to read off values: an inherently time-consuming and error-prone process. Methods: To mitigate some of the above problems we develop
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7

Cramond, Fala, Alison O'Mara-Eves, Lee Doran-Constant, Andrew SC Rice, Malcolm Macleod, and James Thomas. "The development and evaluation of an online application to assist in the extraction of data from graphs for use in systematic reviews." Wellcome Open Research 3 (January 25, 2019): 157. http://dx.doi.org/10.12688/wellcomeopenres.14738.2.

Повний текст джерела
Анотація:
Background: The extraction of data from the reports of primary studies, on which the results of systematic reviews depend, needs to be carried out accurately. To aid reliability, it is recommended that two researchers carry out data extraction independently. The extraction of statistical data from graphs in PDF files is particularly challenging, as the process is usually completely manual, and reviewers need sometimes to revert to holding a ruler against the page to read off values: an inherently time-consuming and error-prone process. Methods: To mitigate some of the above problems we integra
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8

Yan, Rongen, Dongmei Li, Yan Wu, Depeng Dang, Ye Tao, and Shaofei Wang. "NAS-CRE: Neural Architecture Search for Context-Based Relation Extraction." Applied Sciences 14, no. 23 (2024): 10960. http://dx.doi.org/10.3390/app142310960.

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Анотація:
Relation extraction, a crucial task in natural language processing (NLP) for constructing knowledge graphs, entails extracting relational semantics between pairs of entities within a sentence. Given the intricacy of language, a single sentence often encompasses multiple entities that mutually influence one another. Recently, various iterations of recurrent neural networks (RNNs) have been introduced into relation extraction tasks, where the efficacy of neural network structures directly influences task performance. However, many neural networks necessitate manual determination of optimal param
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9

Vijayam, Bhuwaneswaran, Siew Ping Lau, Jing Wen Wong, et al. "Validation of Glycemic Index Values Represented as Bar Graphs in Scholarly Articles for Clinical Nutrition Application." Journal of Health and Quality of Life 1, no. 1 (2024): 1–15. http://dx.doi.org/10.37934/jhqol.1.1.115.

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Анотація:
Glycemic index (GI) has been a proven clinical nutrition tool. It has been utilized in chronic diseases such as PCOS, diabetes, obesity and metabolic syndrome. The GI value of a test food is the ratio of the glucose response over 2 hours against the reference food. The references food is usually either glucose or bread. GI values may often be directly available as values in texts, tables, or figures. The indirect values may be represented as values, images or both values and, concentration of glucose over time or GI values. Less ideally, some GI data are only presented in graphs. Data from the
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10

Bhuwaneswaran Vijayam, Lau Siew Ping, Wong Jing Wen, et al. "Validation of Glycemic Index Values Represented as Bar Graphs in Scholarly Articles for Clinical Nutrition Application." Journal of Health and Quality of Life 1, no. 1 (2024): 1–15. http://dx.doi.org/10.37934/hqol.1.1.115.

Повний текст джерела
Анотація:
Glycemic index (GI) has been a proven clinical nutrition tool. It has been utilized in chronic diseases such as PCOS, diabetes, obesity and metabolic syndrome. The GI value of a test food is the ratio of the glucose response over 2 hours against the reference food. The references food is usually either glucose or bread. GI values may often be directly available as values in texts, tables, or figures. The indirect values may be represented as values, images or both values and, concentration of glucose over time or GI values. Less ideally, some GI data are only presented in graphs. Data from the
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Дисертації з теми "Extraction de graphes"

1

Haugeard, Jean-Emmanuel. "Extraction et reconnaissance de primitives dans les façades de Paris à l'aide d'appariement de graphes." Thesis, Cergy-Pontoise, 2010. http://www.theses.fr/2010CERG0497.

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Анотація:
Cette dernière décennie, la modélisation des villes 3D est devenue l'un des enjeux de la recherche multimédia et un axe important en reconnaissance d'objets. Dans cette thèse nous nous sommes intéressés à localiser différentes primitives, plus particulièrement les fenêtres, dans les façades de Paris. Dans un premier temps, nous présentons une analyse des façades et des différentes propriétés des fenêtres. Nous en déduisons et proposons ensuite un algorithme capable d'extraire automatiquement des hypothèses de fenêtres. Dans une deuxième partie, nous abordons l'extraction et la reconnaissance d
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2

Haugeard, Jean-Emmanuel. "Extraction et reconnaissance de primitives dans les façades de Paris à l'aide de similarités de graphes." Phd thesis, Université de Cergy Pontoise, 2010. http://tel.archives-ouvertes.fr/tel-00593985.

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Анотація:
Cette dernière décennie, la modélisation des villes 3D est devenue l'un des enjeux de la recherche multimédia et un axe important en reconnaissance d'objets. Dans cette thèse nous nous sommes intéressés à localiser différentes primitives, plus particulièrement les fenêtres, dans les façades de Paris. Dans un premier temps, nous présentons une analyse des façades et des différentes propriétés des fenêtres. Nous en déduisons et proposons ensuite un algorithme capable d'extraire automatiquement des hypothèses de fenêtres. Dans une deuxième partie, nous abordons l'extraction et la reconnaissance d
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3

Archer, Vincent. "Graphes linguistiques multiniveau pour l'extraction de connaissances : l'exemple des collocations." Phd thesis, Université Joseph Fourier (Grenoble ; 1971-2015), 2009. http://www.theses.fr/2009GRE10127.

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Анотація:
Pour modéliser au mieux les phénomènes linguistiques dans les systèmes de traitement automatique des langues (traduction, analyse, etc. ), il faut disposer de ressources de qualité. Or, les ressources existantes sont souvent incomplètes et ne permettent pas de traiter correctement les données. Cette thèse s'intéresse à l'acquisition de connaissances linguistiques, plus précisément à leur extraction à partir de corpus. Nous étudions en particulier le problème des collocations, ces couples de termes dont l'un est choisi en fonction de l'autre pour exprimer un sens particulier (comme « pluie batt
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4

Zanella, Calzada Laura A. "Biomedical Event Extraction Based on Transformers and Knowledge Graphs." Electronic Thesis or Diss., Université de Lorraine, 2023. http://www.theses.fr/2023LORR0235.

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Анотація:
L'extraction d'événements biomédicaux peut être divisée en trois sous-tâches principales : (1) la détection de déclencheurs d'événements biomédicaux, (2) l'identification d'arguments biomédicaux et (3) la construction d'événements. Dans cette étude, pour la première sous-tâche, nous analysons un ensemble de modèles de langage transformer couramment utilisés dans le domaine biomédical afin d'évaluer et de comparer leur capacité à détecter les déclencheurs d'événements. Nous affinons les modèles en utilisant sept corpus annotés manuellement pour évaluer leurs performances dans différents sous-do
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5

Raveaux, Romain. "Fouille de graphes et classification de graphes : application à l'analyse de plans cadastraux." Phd thesis, Université de La Rochelle, 2010. http://tel.archives-ouvertes.fr/tel-00567218.

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Анотація:
Les travaux présentés dans ce mémoire de thèse abordent sous différents angles très intéressants, un sujet vaste et ambitieux : l'interprétation de plans cadastraux couleurs.Dans ce contexte, notre approche se trouve à la confluence de différentes thématiques de recherche telles que le traitement du signal et des images, la reconnaissance de formes, l'intelligence artificielle et l'ingénierie des connaissances. En effet, si ces domaines scientifiques diffèrent dans leurs fondements, ils sont complémentaires et leurs apports respectifs sont indispensables pour la conception d'un système d'inter
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6

Berger, Laurent. "Extraction de regions d'une image apres codage par quadtree en vue de la reconstitution de scenes tridimensionnelles par stereoscopie." Le Mans, 1992. http://www.theses.fr/1992LEMA1007.

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Le present travail traite du codage d'images par quadtrees a l'aide d'approximations polynomiales pour segmenter un couple d'images stereoscopiques en vue de la stereorestitution d'une scene. Selon l'ordre 0, 1 ou 2 des estimateurs polynomiaux, les images sont localement modelisees par des plans horizontaux, des plans quelconques ou des paraboloides. Une formulation compacte de l'estimateur en permet le calcul recursif rapide au sens des moindres carres. La segmentation des images est composee de deux parties, construction et fusion des regions. La construction des regions prend en compte la t
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7

Garnero, Valentin. "(Méta)-noyaux constructifs et linéaires dans les graphes peu denses." Thesis, Montpellier, 2016. http://www.theses.fr/2016MONTT328/document.

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En algorithmique et en complexité, la plus grande part de la recherche se base sur l’hypothèse que P ≠ NP (Polynomial time et Non deterministic Polynomial time), c'est-à-dire qu'il existe des problèmes dont la solution peut être vérifiée mais non construite en temps polynomial. Si cette hypothèse est admise, de nombreux problèmes naturels ne sont pas dans P (c'est-à-dire, n'admettent pas d'algorithme efficace), ce qui a conduit au développement de nombreuses branches de l'algorithmique. L'une d'elles est la complexité paramétrée. Elle propose des algorithmes exacts, dont l'analyse est faite en
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8

Raveaux, Romain. "Fouille de graphes et classification de graphes : application à l’analyse de plans cadastraux." Thesis, La Rochelle, 2010. http://www.theses.fr/2010LAROS311/document.

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Анотація:
Les travaux présentés dans ce mémoire de thèse abordent sous différents angles très intéressants, un sujet vaste et ambitieux : l’interprétation de plans cadastraux couleurs.Dans ce contexte, notre approche se trouve à la confluence de différentes thématiques de recherche telles que le traitement du signal et des images, la reconnaissance de formes, l’intelligence artificielle et l’ingénierie des connaissances. En effet, si ces domaines scientifiques diffèrent dans leurs fondements, ils sont complémentaires et leurs apports respectifs sont indispensables pour la conception d’un système d’inter
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9

Rahmoun, Somia. "Extraction, caractérisation et mesure de courbes imparfaites en résolution limitée." Thesis, Bourgogne Franche-Comté, 2017. http://www.theses.fr/2017UBFCK041.

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Анотація:
Dans le domaine moléculaire, les polymères sont observés et étudiés par microscopie. Les formes obtenues sont souvent imprécises en raison de l'effet de convolution et de diffraction de l'acquisition par microscopie. Par conséquent, le polymère apparait comme une courbe épaisse, bruitée et floue. Pour étudier les caractéristiques d'une chaîne de polymère, une des approches possibles consiste à réduire la forme acquise par microscope à une représentation minimale, soit une courbe. Cette dernière doit représenter au mieux l'objet étudié malgré les différentes difficultés rencontrées telles que l
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10

Viana, do Espírito Santo Ilísio. "Inspection automatisée d’assemblages mécaniques aéronautiques par vision artificielle : une approche exploitant le modèle CAO." Thesis, Ecole nationale des Mines d'Albi-Carmaux, 2016. http://www.theses.fr/2016EMAC0022/document.

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Анотація:
Les travaux présentés dans ce manuscrit s’inscrivent dans le contexte de l’inspection automatisée d’assemblages mécaniques aéronautiques par vision artificielle. Il s’agit de décider si l’assemblage mécanique a été correctement réalisé (assemblage conforme). Les travaux ont été menés dans le cadre de deux projets industriels. Le projet CAAMVis d’une part, dans lequel le capteur d’inspection est constitué d’une double tête stéréoscopique portée par un robot, le projet Lynx© d’autre part, dans lequel le capteur d’inspection est une caméra Pan/Tilt/Zoom (vision monoculaire). Ces deux projets ont
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Книги з теми "Extraction de graphes"

1

Lin, I.-Jong. Video object extraction and representation: Theory and applications. Kluwer Academic Publisher, 2000.

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2

Li, Ying. Video content analysis using multimodal information: For movie content extraction, indexing, and representation. Kluwer Academic Publishers, 2003.

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3

Shitov, Viktor. Information content development (by industry). INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1853495.

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The textbook describes methods of working with documentation, stages of development of technical specifications, annotation design, development of information content, development and layout of texts using specialized packages, standard presentation preparation packages, basic tools for working with raster and vector graphics, technologies for extracting information from text documents and databases, and much more.
 Meets the requirements of the federal state educational standards of secondary vocational education of the latest generation.
 For students of secondary vocational educat
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4

J, Farrell Edward, Society of Photo-optical Instrumentation Engineers., IS & T--the Society for Imaging Science and Technology., and Rochester Institute of Technology. Center for Imaging Science., eds. Extracting meaning from complex data: Processing, display, interaction II : 26-28 February 1991, San Jose, California. SPIE, 1991.

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5

Tour, James M., Chaudhery Mustansar Hussai, Ajeet Kumar Srivastav, and Chandra Sekhar Tiwary. Graphene Extraction from Waste: A Sustainable Synthesis Approach for Graphene and Its Derivatives. Elsevier Science & Technology, 2023.

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6

Tour, James M., Chaudhery Mustansar Hussain, Ajeet Kumar Srivastav, and Chandra Sekhar Tiwary. Graphene Extraction from Waste: A Sustainable Synthesis Approach for Graphene and Its Derivatives. Woodhead Publishing, 2022.

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7

Dey, Nilanjan, and Jyotismita Chaki. Beginner's Guide to Image Shape Feature Extraction Techniques. Taylor & Francis Group, 2019.

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8

Dey, Nilanjan, and Jyotismita Chaki. Beginner's Guide to Image Shape Feature Extraction Techniques. Taylor & Francis Group, 2019.

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9

Dey, Nilanjan, and Jyotismita Chaki. Beginner's Guide to Image Shape Feature Extraction Techniques. Taylor & Francis Group, 2019.

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10

Beginner's Guide to Image Shape Feature Extraction Techniques. Taylor & Francis Group, 2019.

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Частини книг з теми "Extraction de graphes"

1

Carberry, Sandra, Stephanie Elzer, Richard Burns, Peng Wu, Daniel Chester, and Seniz Demir. "Information Graphics in Multimodal Documents." In Multimedia Information Extraction. John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118219546.ch15.

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2

Carvalho, Danilo S., André Freitas, and João C. P. da Silva. "Graphia: Extracting Contextual Relation Graphs from Text." In Advanced Information Systems Engineering. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41242-4_31.

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3

Gibson, David, Ravi Kumar, Kevin S. McCurley, and Andrew Tomkins. "Dense Subgraph Extraction." In Mining Graph Data. John Wiley & Sons, Inc., 2006. http://dx.doi.org/10.1002/9780470073049.ch16.

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4

Kejriwal, Mayank. "Information Extraction." In Domain-Specific Knowledge Graph Construction. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12375-8_2.

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5

Shi, Wei, Weiguo Zheng, Jeffrey Xu Yu, Hong Cheng, and Lei Zou. "Keyphrase Extraction Using Knowledge Graphs." In Web and Big Data. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63579-8_11.

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Aggarwal, Charu C. "Information Extraction and Knowledge Graphs." In Machine Learning for Text. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96623-2_13.

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7

Pamula, Wiesław. "Feature Extraction Using Reconfigurable Hardware." In Computer Vision and Graphics. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15907-7_20.

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8

Martinez-Rodriguez, Jose L., Ivan Lopez-Arevalo, Ana B. Rios-Alvarado, Julio Hernandez, and Edwin Aldana-Bobadilla. "Extraction of RDF Statements from Text." In Knowledge Graphs and Semantic Web. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21395-4_7.

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9

Gerstner, Thomas, and Martin Rumpf. "Multi-Resolutional Parallel Isosurface Extraction based on Tetrahedral Bisection." In Volume Graphics. Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-0737-8_17.

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van Bakel, Ruud, Teodor Aleksiev, Daniel Daza, Dimitrios Alivanistos, and Michael Cochez. "Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification." In Lecture Notes in Computer Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72308-8_8.

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Анотація:
AbstractLarge, heterogeneous datasets are characterized by missing or even erroneous information. This is more evident when they are the product of community effort or automatic fact extraction methods from external sources, such as text. A special case of the aforementioned phenomenon can be seen in knowledge graphs, where this mostly appears in the form of missing or incorrect edges and nodes.Structured querying on such incomplete graphs will result in incomplete sets of answers, even if the correct entities exist in the graph, since one or more edges needed to match the pattern are missing.
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Тези доповідей конференцій з теми "Extraction de graphes"

1

Opsahl, Tobias Aanderaa. "Fact or Fiction? Improving Fact Verification with Knowledge Graphs through Simplified Subgraph Retrievals." In Proceedings of the Seventh Fact Extraction and VERification Workshop (FEVER). Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.fever-1.32.

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Tan, Fiona Anting, Jay Desai, and Srinivasan H. Sengamedu. "Enhancing Fact Verification with Causal Knowledge Graphs and Transformer-Based Retrieval for Deductive Reasoning." In Proceedings of the Seventh Fact Extraction and VERification Workshop (FEVER). Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.fever-1.20.

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Hoelscher-Obermaier, Jason, Edward Stevinson, Valentin Stauber, et al. "Leveraging knowledge graphs to update scientific word embeddings using latent semantic imputation." In Proceedings of the first Workshop on Information Extraction from Scientific Publications. Association for Computational Linguistics, 2022. http://dx.doi.org/10.18653/v1/2022.wiesp-1.6.

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4

Gautam, Sushant, and Roxana Pop. "FactGenius: Combining Zero-Shot Prompting and Fuzzy Relation Mining to Improve Fact Verification with Knowledge Graphs." In Proceedings of the Seventh Fact Extraction and VERification Workshop (FEVER). Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.fever-1.30.

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5

Chellagurki, Pranav, Sai Prasanna Kumar Kumaru, Rahul Raghava Peela, Neeharika Yeluri, Carlos Rojas, and Jorjeta Jetcheva. "Biomedical Relation Extraction Using LLMs and Knowledge Graphs." In 2024 IEEE 10th International Conference on Big Data Computing Service and Machine Learning Applications (BigDataService). IEEE, 2024. http://dx.doi.org/10.1109/bigdataservice62917.2024.00015.

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Du, Weihong, Wenrui Liao, Hongru Liang, and Wenqiang Lei. "PAGED: A Benchmark for Procedural Graphs Extraction from Documents." In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.acl-long.583.

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Molokwu, Bonaventure. "Event Prediction in Complex Social Graphs using One-Dimensional Convolutional Neural Network." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/914.

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Анотація:
Social network graphs possess apparent and latent knowledge about their respective actors and links which may be exploited, using effective and efficient techniques, for predicting events within the social graphs. Understanding the intrinsic relationship patterns among spatial social actors and their respective properties are crucial factors to be taken into consideration in event prediction within social networks. My research work proposes a unique approach for predicting events in social networks by learning the context of each actor/vertex using neighboring actors in a given social graph wi
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Roj, Lea, Štefan Kohek, Aleksander Pur, and Niko Lukač. "Integration of Named Entity Extraction Based on Deep Learning for Neo4j Graph Database." In 10th Student Computing Research Symposium. University of Maribor Press, 2024. https://doi.org/10.18690/um.feri.6.2024.3.

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The increase in unstructured textual data has created a pressing demand for effective information extraction techniques. This paper explores the integration of Named Entity Extraction (NEE) using deep learning within the Neo4j graph database. Utilizing the Rebel Large Model, we converted raw text into structured knowledge graphs. The primary objective is to evaluate the efficacy of this integration by examining performance metrics, such as process-ing time, graph growth, and entity representation. The findings highlight how the structure and complexity of graphs vary with different text length
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Rascanu, G., R. Dzhusupova, and Z. Guo. "Enhancing Engineering Document Analysis Through Structured Data Mapping." In ADIPEC. SPE, 2024. http://dx.doi.org/10.2118/221950-ms.

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Abstract This paper presents an innovative approach for mapping engineering documents, particularly unstructured PDF files, to knowledge graphs, offering significant benefits for both engineering processes (i.e. such as ‘review-check-approve’ process) and AI-powered development. The method aims at improving efficiency, enhancing decision-making capabilities, reducing document turn-around duration, and thus decreasing costs while increasing productivity. Specific advantages include: Quick overview for reviewers to prioritize tasks - more weight can be given to identified main topics with less t
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Hou, Yingqi, Yichang Shao, Zhongyi Han, and Zhirui Ye. "Construction and Application of Traffic Accident Knowledge Graph Based on LLM." In 2024 International Conference on Smart Transportation Interdisciplinary Studies. SAE International, 2025. https://doi.org/10.4271/2025-01-7139.

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<div class="section abstract"><div class="htmlview paragraph">Records of traffic accidents contain a wealth of information regarding accident causes and consequences. It provides a valuable data foundation for accident analysis. The diversity and complexity of textual data pose significant challenges in knowledge extracting. Previous research primarily relies on Natural Language Processing (NLP) to extract knowledge from texts and uses knowledge graphs (KGs) to store information in a structured way. However, the process based on NLP typically necessitates extensive annotated datase
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Звіти організацій з теми "Extraction de graphes"

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Reedy, Geoffrey, Alex Bertels, and Asael Sorensen. Understanding Data Structures by Extracting Memory Access Graphs. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1813903.

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Reisch, Bruce, Pinhas Spiegel-Roy, Norman Weeden, Gozal Ben-Hayyim, and Jacques Beckmann. Genetic Analysis in vitis Using Molecular Markers. United States Department of Agriculture, 1995. http://dx.doi.org/10.32747/1995.7613014.bard.

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Анотація:
Genetic analysis and mapping in grapes has been difficult because of the long generation period and paucity of genetic markers. In the present work, chromosome linkage maps were developed with RAPD, RFLP and isozyme loci in interspecific hybrid cultivars, and RAPD markers were produced in a V. vinifera population. In three cultivars, there were 19 linkage groups as expected for a species with 38 somatic chromosomes. These maps were used to locate chromosome regions with linkages to important genes, including those influencing powdery mildew and botrytis bunch rot resistance; flower sex; and be
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Desai, Jairaj, Jijo K. Mathew, Howell Li, Rahul Sakhare, Deborah Horton, and Darcy M. Bullock. National Mobility Analysis for All Interstate Routes in the United States. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317585.

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In November 2022, Wejo Data Services Inc. provided Purdue with a national data set comprised of approximately 470 billion connected vehicle records covering all 50 states for the month of August 2022. The goal of the evaluation data set was to create a series of summary graphics to evaluate the scalability of work zone analytics graphics and electric/hybrid vehicle counts at a national level. This report illustrates several performance measures developed using this dataset for all interstate routes, both state wise and cross-country. State wise graphics are organized with 50 subdirectories con
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Steenhoek, Abraham. Graph theory approach for automatic test board parameter extraction in semiconductor multi-site testing: method, implementation, and results. Iowa State University, 2021. http://dx.doi.org/10.31274/cc-20240624-798.

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