Добірка наукової літератури з теми "Mapping conceptuel"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся зі списками актуальних статей, книг, дисертацій, тез та інших наукових джерел на тему "Mapping conceptuel".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Статті в журналах з теми "Mapping conceptuel":
An, Yuan, Xiaohua Hu, and Il-Yeol Song. "Maintaining Mappings between Conceptual Models and Relational Schemas." Journal of Database Management 21, no. 3 (July 2010): 36–68. http://dx.doi.org/10.4018/jdm.2010070102.
Proctor, Robert W., Huifang Wang, and Kim-Phuong L. Vu. "Influences of different combinations of conceptual, perceptual, and structural similarity on stimulus-response compatibility." Quarterly Journal of Experimental Psychology Section A 55, no. 1 (February 2002): 59–74. http://dx.doi.org/10.1080/02724980143000163.
Ruiz de Mendoza Ibáñez, Francisco José. "Mapping concepts." Revista Española de Lingüística Aplicada/Spanish Journal of Applied Linguistics 27, no. 1 (August 8, 2014): 187–207. http://dx.doi.org/10.1075/resla.27.1.08rui.
Ge, Mengshi, Rui Mao, and Erik Cambria. "Explainable Metaphor Identification Inspired by Conceptual Metaphor Theory." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 10 (June 28, 2022): 10681–89. http://dx.doi.org/10.1609/aaai.v36i10.21313.
Gallegos García, Yazmín, and Ma Teresa García Ramírez. "Educational digital inclusion: a conceptual mapping." Apertura 14, no. 1 (March 31, 2022): 132–47. http://dx.doi.org/10.32870/ap.v14n1.2118.
Emmorey, Karen. "Iconicity as structure mapping." Philosophical Transactions of the Royal Society B: Biological Sciences 369, no. 1651 (September 19, 2014): 20130301. http://dx.doi.org/10.1098/rstb.2013.0301.
Hussain, Muzaffar, Ameer Ali, and Maya Khemlani David. "Conceptual Metaphors in the Hazaragi Community’s Institution of Marriage in Balochistan, Pakistan." LingPoet: Journal of Linguistics and Literary Research 3, no. 3 (September 30, 2022): 68–86. http://dx.doi.org/10.32734/lingpoet.v3i3.9302.
Adachi, Ikuma, and Christoph Dahl. "Conceptual metaphorical mapping in chimpanzees." Proceedings of the Annual Convention of the Japanese Psychological Association 78 (September 10, 2014): 2PM—1–082–2PM—1–082. http://dx.doi.org/10.4992/pacjpa.78.0_2pm-1-082.
Chen, Zhengxin. "Grammar mapping for conceptual patterns." Pattern Recognition 26, no. 11 (November 1993): 1709–16. http://dx.doi.org/10.1016/0031-3203(93)90025-r.
Zabotkina, Vera I., and Elena L. Boyarskaya. "WORDS AND MEANINGS AT THE CROSSROADS OF MENTAL SPACES OF LANGUAGE AND CULTURE." RSUH/RGGU Bulletin. "Literary Theory. Linguistics. Cultural Studies" Series, no. 4 (2022): 300–311. http://dx.doi.org/10.28995/2686-7249-2022-4-300-311.
Дисертації з теми "Mapping conceptuel":
Bernier, Tiffanie. "Incarnation spatiale et corporelle de deux concepts abstraits : le TEMPS et la VALENCE EMOTIONNELLE." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASW004.
Abstract concepts have constituted a real challenge in recent years, in order to gain a better understanding of how they are represented in different scientific fields of cognition. In an embodied approach, we identify two perceptual-motor axes (frontal = "left - right" and sagittal= "front - back") where a sensorimotor experi-ence associated with the conceptualization of TIME and EMOTIONAL VALENCE is activated. For in-stance, studies predict congruence effects between a concrete source domain (such as space) and an ab-stract target domain such as TIME with a congruent "past-left" and "future-right" conceptual mapping on the frontal axis, and "past-back" and "future-forward" on the sagittal axis. Regarding EMOTIONAL VA-LENCE, the congruent mapping would be "negative - left" and "positive - right" (in line with the body-specificity hypothesis) for the frontal axis, and "nega-tive - back", "positive - front" (in line with the ap-proach and avoidance mechanisms) for the sagittal axis. As part of this thesis, an experimental paradigm manipulated the hypothetical congruence of con-ceptual mappings, during a judgment task (temporal or emotional) requiring a motor response.The aim was to investigate the role of movement direction (arm movement) in highlighting the embodiment of our two abstract concepts of interest, and the effect of a possible time-valence association (e.g., “past - negative”, “future - positive”). Overall, the results of our experimental studies show that, on the one hand, movement reveals the embodiment of our two abstract concepts of interest. On the other hand, they can be intrinsically linked through movement (motivational time-valence association). We discuss these results in relation to the emergence of research work connecting these two concepts ; and more generally, within the framework of embodied cogni-tion and its applied perspectives
Shrivastava, Vikram M. "Mapping conceptual graphs to primitive VHDL processes." Thesis, This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-05022009-040536/.
Soloshenko, Alena. "Emotions in legal fiction : conceptual metaphors and cross-domain mapping with ATLAS.ti." Thesis, Strasbourg, 2016. http://www.theses.fr/2016STRAC022/document.
This thesis is written within the theoretical framework of cognitive linguistics and focuses on the ways emotion keywords lexicalize and conceptualize in the language of legal fiction. The first part of the work provides an interdisciplinary discussion about the interconnection between language, cognition, and emotion. This is followed, in a second part, by the complex lexicographical study of five emotion keywords in legal fiction, a genre of texts which has remained overlooked by researchers in the field. The third part brings to light the metaphorical patterns of different types of emotion keywords in order to show how they lexicalize and conceptualize in language, and demonstrate the dependency between the types of emotion keywords and their strongest and weakest conceptualizations. In addition, this thesis offers an application of the software ATLAS.ti, which allows a qualitative approach to the study of emotions as expressed in language
Farsari-Zacharaki, Ioanna. "Understanding sustainable tourism policy : conceptual framework and cognitive mapping." Thesis, University of Surrey, 2006. http://epubs.surrey.ac.uk/937/.
Nicholson, Delmer William Jr. "Using Model Generation for Data Warehouse Conceptual to Physical Schema Mapping." University of Cincinnati / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1211998656.
Dey, Sounak. "Mapping between Images and Conceptual Spaces: Sketch-based Image Retrieval." Doctoral thesis, Universitat Autònoma de Barcelona, 2020. http://hdl.handle.net/10803/671082.
El diluvio de contenido visual en Internet, desde contenido generado por el usuario hasta colecciones de imágenes comerciales, motiva nuevos métodos intuitivos para buscar contenido de imágenes digitales: ¿cómo podemos encontrar ciertas imágenes en una base de datos de millones? La recuperación de imágenes basada en bocetos (SBIR) es un tema de investigación emergente en el que se puede usar un dibujo a mano libre para consultar visualmente imágenes fotográficas. SBIR está alineado con las tendencias emergentes para el consumo de contenido visual en dispositivos móviles con pantalla táctil, para los cuales las interacciones gestuales como el boceto son una alternativa natural a la entrada de texto. Esta tesis presenta varias contribuciones a la literatura de SBIR. En primer lugar, proponemos un marco de aprendizaje multimodal que mapea tanto los bocetos como el texto en un espacio de incrustación conjunto invariante al estilo representativo, al tiempo que conserva la semántica. La incrustación resultante permite la comparación directa y la búsqueda entre bocetos / texto e imágenes y se basa en una red neuronal convolucional de múltiples ramas (CNN) entrenada utilizando esquemas de entrenamiento únicos. La incrustación profundamente aprendida muestra un rendimiento de recuperación de última generación en varios puntos de referencia SBIR. En segundo lugar, proponemos un enfoque para la recuperación de imágenes multimodales en imágenes con etiquetas múltiples. Una arquitectura de red profunda multimodal está formulada para modelar conjuntamente bocetos y texto como modalidades de consulta de entrada en un espacio de incrustación común, que luego se alinea aún más con el espacio de características de la imagen. Nuestra arquitectura también se basa en una detección de objetos sobresalientes a través de un modelo de atención visual supervisado basado en LSTM aprendido de las características convolucionales. Tanto la alineación entre las consultas y la imagen como la supervisión de la atención en las imágenes se obtienen generalizando el algoritmo húngaro utilizando diferentes funciones de pérdida. Esto permite codificar las características basadas en objetos y su alineación con la consulta independientemente de la disponibilidad de la concurrencia de diferentes objetos en el conjunto de entrenamiento. Validamos el rendimiento de nuestro enfoque en conjuntos de datos estándar de objeto único / múltiple, mostrando el rendimiento más avanzado en cada conjunto de datos SBIR. En tercer lugar, investigamos el problema de la recuperación de imágenes basadas en bocetos de disparo cero (ZS-SBIR), donde los bocetos humanos se utilizan como consultas para llevar a cabo la recuperación de fotos de categorías invisibles. Avanzamos de manera importante en las técnicas anteriores al proponer un nuevo escenario ZS-SBIR que representa un firme paso adelante en su aplicación práctica. El nuevo entorno reconoce de manera única dos desafíos importantes pero a menudo descuidados de la práctica ZS-SBIR, (i) la gran brecha de dominio entre el boceto aficionado y la foto, y (ii) la necesidad de avanzar hacia la recuperación a gran escala. Primero contribuimos a la comunidad con un nuevo conjunto de datos ZS-SBIR, QuickDraw -Extended, que consta de bocetos de $ 330,000 $ y fotos de $ 204,000 $ que abarcan 110 categorías. Los bocetos humanos aficionados altamente abstractos se obtienen a propósito para maximizar la brecha de dominio, en lugar de los incluidos en los conjuntos de datos existentes que a menudo pueden ser semi-fotorrealistas. Luego formulamos un marco ZS-SBIR para modelar conjuntamente bocetos y fotos en un espacio de incrustación común.
The deluge of visual content on the Internet – from user-generated content to commercial image collections - motivates intuitive new methods for searching digital image content: how can we find certain images in a database of millions? Sketch-based image retrieval (SBIR) is an emerging research topic in which a free-hand drawing can be used to visually query photographic images. SBIR is aligned to emerging trends for visual content consumption on mobile touch-screen based devices, for which gestural interactions such as sketch are a natural alternative to textual input. This thesis presents several contributions to the literature of SBIR. First, we propose a cross-modal learning framework that maps both sketches and text into a joint embedding space invariant to depictive style, while preserving semantics. The resulting embedding enables direct comparison and search between sketches/text and images and is based upon a multi-branch convolutional neural network (CNN) trained using unique training schemes. The deeply learned embedding is shown to yield state-of-art retrieval performance on several SBIR benchmarks. Second, we propose an approach for multi-modal image retrieval in multi-labelled images. A multi-modal deep network architecture is formulated to jointly model sket-ches and text as input query modalities into a common embedding space, which is then further aligned with the image feature space. Our architecture also relies on a salient object detection through a supervised LSTM-based visual attention model lear-ned from convolutional features. Both the alignment between the queries and the image and the supervision of the attention on the images are obtained by generalizing the Hungarian Algorithm using different loss functions. This permits encoding the object-based features and its alignment with the query irrespective of the availability of the co-occurrence of different objects in the training set. We validate the performance of our approach on standard single/multi-object datasets, showing state-of-the art performance in every SBIR dataset. Third, we investigate the problem of zero-shot sketch-based image retrieval (ZS-SBIR), where human sketches are used as queries to conduct retrieval of photos from unseen categories. We importantly advance prior arts by proposing a novel ZS-SBIR scenario that represents a firm step forward in its practical application. The new setting uniquely recognizes two important yet often neglected challenges of practical ZS-SBIR, (i) the large domain gap between amateur sketch and photo, and (ii) the necessity for moving towards large-scale retrieval. We first contribute to the community a novel ZS-SBIR dataset, QuickDraw-Extended, that consists of $330,000$ sketches and $204,000$ photos spanning across 110 categories. Highly abstract amateur human sketches are purposefully sourced to maximize the domain gap, instead of ones included in existing datasets that can often be semi-photorealistic. We then formulate a ZS-SBIR framework to jointly model sketches and photos into a common embedding space. A novel strategy to mine the mutual information among domains is specifically engineered to alleviate the domain gap. External semantic knowledge is further embedded to aid semantic transfer. We show that, rather surprisingly, retrieval performance significantly outperforms that of state-of-the-art on existing datasets that can already be achieved using a reduced version of our model. We further demonstrate the superior performance of our full model by comparing with a number of alternatives on the newly proposed dataset.
Jenett, Tilmann [Verfasser]. "Modern geologic mapping : The conceptual development and practical review of a digital geologic mapping approach / Tilmann Jenett." Berlin : Freie Universität Berlin, 2012. http://d-nb.info/1031421319/34.
Chaudhuri, Jayasri. "Rules for mapping a conceptual model onto various data base management systems." Thesis, Aston University, 1988. http://publications.aston.ac.uk/10655/.
Kong, Choi-yu. "Effective partial ontology mapping in a pervasive computing environment." Click to view the E-thesis via HKUTO, 2004. http://sunzi.lib.hku.hk/hkuto/record/B32002737.
Kong, Choi-yu, and 江采如. "Effective partial ontology mapping in a pervasive computing environment." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B32002737.
Книги з теми "Mapping conceptuel":
Trim, Richard. Metaphor and the Historical Evolution of Conceptual Mapping. London: Palgrave Macmillan UK, 2011. http://dx.doi.org/10.1057/9780230337053.
Trim, Richard. Metaphor and the historical: Evolution of conceptual mapping. Houndmills, Basingstoke, Hampshire, UK: Palgrave Macmillan, 2011.
1969-, Möntmann Nina, Dziewior Yilmaz, Galerie für Landschaftskunst, and Kunstverein in Hamburg, eds. Mapping a city. Ostfildern-Ruit: Hatje Cantz, 2004.
Yu, Chung-sŏk. Konggan chŏngbo deitʻŏbeisŭ kibon kusang =: A concepture framework for spatial database structure. Kyŏnggi-do Anyang-si: Kuktʻo Kaebal Yŏnʼguwŏn, 1996.
ERIC Clearinghouse on Information & Technology., ed. Concept mapping: A graphical system for understanding the relationship between concepts : an ERIC digest. [Syracuse, NY]: Clearinghouse on Information & Technology, 1997.
Tamayo, Manuel Francisco Aguilar. Mapa conceptual, hipertexto, hipermedia y otros artefactos culturales para la construcción y comunicación del conocimiento. México, D.F: Bonilla Artigas Editores, 2015.
Bihan, Frédéric Le. Organisez vos formations avec le Mind Mapping. Paris: Dunod, 2012.
Rudenko, L. G. Heoinformat︠s︡iĭne kartohrafuvanni︠a︡ v Ukraïni: Kont︠s︡eptualʹni osnovy i napri︠a︡my rozvytku = Gis-Mapping in Ukraine : conceptual foundations and trends of development. Kyïv: Naukova Dumka, 2011.
Jésus, Martine. Le Mind Mapping pour l'entreprise avec MindManager 8. Paris: Dunod, 2009.
Birkin, Jane. Archive, Photography and the Language of Administration. NL Amsterdam: Amsterdam University Press, 2021. http://dx.doi.org/10.5117/9789463729642.
Частини книг з теми "Mapping conceptuel":
Mecca, Giansalvatore, Guillem Rull, Donatello Santoro, and Ernest Teniente. "Semantic-Based Mappings." In Conceptual Modeling, 255–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41924-9_22.
Trim, Richard. "Multiple Conceptual Mapping." In Mapping the Origins of Figurative Language in Comparative Literature, 107–14. New York: Routledge, 2021. http://dx.doi.org/10.4324/9781032130378-11.
Daniel, Gwendal, Gerson Sunyé, and Jordi Cabot. "UMLtoGraphDB: Mapping Conceptual Schemas to Graph Databases." In Conceptual Modeling, 430–44. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46397-1_33.
Stahl, Garth, Guanglun Michael Mu, Hannah Soong, and Kun Dai. "Transnational Habitus as Conceptual Tool." In Mapping Transnational Habitus, 23–50. London: Palgrave Macmillan UK, 2024. http://dx.doi.org/10.1057/978-1-349-96103-0_2.
Janga, Prudhvi, and Karen C. Davis. "Mapping Heterogeneous XML Document Collections to Relational Databases." In Conceptual Modeling, 86–99. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12206-9_7.
Hai, Rihan, Christoph Quix, and David Kensche. "Nested Schema Mappings for Integrating JSON." In Conceptual Modeling, 397–405. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00847-5_28.
Britell, Scott, and Lois M. L. Delcambre. "Mapping Semantic Widgets to Web-Based, Domain-Specific Collections." In Conceptual Modeling, 204–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34002-4_16.
Kensche, David, Christoph Quix, Yong Li, and Matthias Jarke. "Generic Schema Mappings." In Conceptual Modeling - ER 2007, 132–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-75563-0_11.
Eide, Øyvind. "GIS and Digital Mapping." In Media Boundaries and Conceptual Modelling, 175–94. London: Palgrave Macmillan UK, 2015. http://dx.doi.org/10.1057/9781137544582_7.
Harrison, Sarah, and Michael Bruter. "Theoretical Framework and Conceptual Map." In Mapping Extreme Right Ideology, 25–48. London: Palgrave Macmillan UK, 2011. http://dx.doi.org/10.1057/9780230336834_2.
Тези доповідей конференцій з теми "Mapping conceptuel":
Kantan, Prithvi Ravi, Erika G. Spaich, and Sofia Dahl. "A Metaphor-Based Technical Framework for Musical Sonification in Movement Rehabilitation." In ICAD 2021: The 26th International Conference on Auditory Display. icad.org: International Community for Auditory Display, 2021. http://dx.doi.org/10.21785/icad2021.008.
Lingyun Sun and Yu Song. "Research on clustered patent mapping visualization and interaction." In Conceptual Design (CAID/CD). IEEE, 2008. http://dx.doi.org/10.1109/caidcd.2008.4730761.
Haojie, Hu, Shuli Ma, and Fang Shengliang. "Conceptual design of global spectrum mapping map." In Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022), edited by Tarun Kumar Lohani. SPIE, 2023. http://dx.doi.org/10.1117/12.2668186.
Gunišová, Denisa, and Nina Kozárová. "INNOVATIVE METHOD OF CONCEPTUAL MAPPING." In 12th annual International Conference of Education, Research and Innovation. IATED, 2019. http://dx.doi.org/10.21125/iceri.2019.0954.
de Hoop, Sylvia. "Conceptual modeling of terrain-mapping units." In Spatial Information from Digital Photogrammetry and Computer Vision: ISPRS Commission III Symposium, edited by Heinrich Ebner, Christian Heipke, and Konrad Eder. SPIE, 1994. http://dx.doi.org/10.1117/12.182813.
"CONCEPTUAL FRAMEWORK FOR XML SCHEMA MAPPING." In 10th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001670700850090.
Grantham Lough, Katie, Robert B. Stone, and Irem Tumer. "The Risk in Early Design (RED) Method: Likelihood and Consequence Formulations." In ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/detc2006-99375.
Stowe, Kevin, Tuhin Chakrabarty, Nanyun Peng, Smaranda Muresan, and Iryna Gurevych. "Metaphor Generation with Conceptual Mappings." In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Stroudsburg, PA, USA: Association for Computational Linguistics, 2021. http://dx.doi.org/10.18653/v1/2021.acl-long.524.
Roddy, Stephen, and Brian Bridges. "The Design of a Smart City Sonification System Using a Conceptual Blending and Musical Framework, Web Audio and Deep Learning Techniques." In ICAD 2021: The 26th International Conference on Auditory Display. icad.org: International Community for Auditory Display, 2021. http://dx.doi.org/10.21785/icad2021.010.
Elsayed, Adel, and Mahmoud El-Khouly. "A Case Study on Using Conceptual Mapping." In 2008 Eighth IEEE International Conference on Advanced Learning Technologies. IEEE, 2008. http://dx.doi.org/10.1109/icalt.2008.252.
Звіти організацій з теми "Mapping conceptuel":
Arnold, Zachary, Rebecca Gelles, and Ilya Rahkovsky. Identifying AI-Related Companies: A Conceptual Outline and Proof of Concept. Center for Security and Emerging Technology, July 2020. http://dx.doi.org/10.51593/20200018.
Daudelin, Francois, Lina Taing, Lucy Chen, Claudia Abreu Lopes, Adeniyi Francis Fagbamigbe, and Hamid Mehmood. Mapping WASH-related disease risk: A review of risk concepts and methods. United Nations University Institute for Water, Environment and Health, December 2021. http://dx.doi.org/10.53328/uxuo4751.
Hwa, Yue-Yi. Opportunities for Changing Teacher Norms Vary by Underlying Factors in Teachers’ Selves, Situations, Standards, and Society. Research on Improving Systems of Education (RISE), March 2023. http://dx.doi.org/10.35489/bsg-rise-wp_2023/130.