Artigos de revistas sobre o tema "Knowledge graph refinement"
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Zhang, Dehai, Menglong Cui, Yun Yang, Po Yang, Cheng Xie, Di Liu, Beibei Yu e Zhibo Chen. "Knowledge Graph-Based Image Classification Refinement". IEEE Access 7 (2019): 57678–90. http://dx.doi.org/10.1109/access.2019.2912627.
Texto completo da fonteHsueh, Huei-Chia, Shuo-Chen Chien, Chih-Wei Huang, Hsuan-Chia Yang, Usman Iqbal, Li-Fong Lin e Wen-Shan Jian. "A novel Multi-Level Refined (MLR) knowledge graph design and chatbot system for healthcare applications". PLOS ONE 19, n.º 1 (31 de janeiro de 2024): e0296939. http://dx.doi.org/10.1371/journal.pone.0296939.
Texto completo da fonteKayali, Moe, e Dan Suciu. "Quasi-Stable Coloring for Graph Compression". Proceedings of the VLDB Endowment 16, n.º 4 (dezembro de 2022): 803–15. http://dx.doi.org/10.14778/3574245.3574264.
Texto completo da fontePaulheim, Heiko. "Knowledge graph refinement: A survey of approaches and evaluation methods". Semantic Web 8, n.º 3 (6 de dezembro de 2016): 489–508. http://dx.doi.org/10.3233/sw-160218.
Texto completo da fonteZhang, Yichong, e Yongtao Hao. "Traditional Chinese Medicine Knowledge Graph Construction Based on Large Language Models". Electronics 13, n.º 7 (7 de abril de 2024): 1395. http://dx.doi.org/10.3390/electronics13071395.
Texto completo da fonteAldughayfiq, Bader, Farzeen Ashfaq, N. Z. Jhanjhi e Mamoona Humayun. "Capturing Semantic Relationships in Electronic Health Records Using Knowledge Graphs: An Implementation Using MIMIC III Dataset and GraphDB". Healthcare 11, n.º 12 (15 de junho de 2023): 1762. http://dx.doi.org/10.3390/healthcare11121762.
Texto completo da fonteDong, Qian, Shuzi Niu, Tao Yuan e Yucheng Li. "Disentangled Graph Recurrent Network for Document Ranking". Data Science and Engineering 7, n.º 1 (15 de fevereiro de 2022): 30–43. http://dx.doi.org/10.1007/s41019-022-00179-3.
Texto completo da fonteFauceglia, Nicolas, Mustafa Canim, Alfio Gliozzo, Jennifer J. Liang, Nancy Xin Ru Wang, Douglas Burdick, Nandana Mihindukulasooriya et al. "KAAPA: Knowledge Aware Answers from PDF Analysis". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 18 (18 de maio de 2021): 16029–31. http://dx.doi.org/10.1609/aaai.v35i18.18002.
Texto completo da fonteKoutra, Danai. "The power of summarization in graph mining and learning". Proceedings of the VLDB Endowment 14, n.º 13 (setembro de 2021): 3416. http://dx.doi.org/10.14778/3484224.3484238.
Texto completo da fonteHuang, Yu-Xuan, Wang-Zhou Dai, Yuan Jiang e Zhi-Hua Zhou. "Enabling Knowledge Refinement upon New Concepts in Abductive Learning". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 7 (26 de junho de 2023): 7928–35. http://dx.doi.org/10.1609/aaai.v37i7.25959.
Texto completo da fonteKim Cheng, A. M., e Hsiu-yen Tsai. "A graph-based approach for timing analysis and refinement of OPS5 knowledge-based systems". IEEE Transactions on Knowledge and Data Engineering 16, n.º 2 (fevereiro de 2004): 271–88. http://dx.doi.org/10.1109/tkde.2004.1269603.
Texto completo da fonteZhuang, Weibin, Taihua Zhang, Liguo Yao, Yao Lu e Panliang Yuan. "A Research on Image Semantic Refinement Recognition of Product Surface Defects Based on Causal Knowledge". Applied Sciences 12, n.º 17 (2 de setembro de 2022): 8828. http://dx.doi.org/10.3390/app12178828.
Texto completo da fonteOsipova, Irina, e Veselina Gospodinova. "Representation of the process of sudden outbursts of coal and gas using a knowledge graph". E3S Web of Conferences 192 (2020): 04022. http://dx.doi.org/10.1051/e3sconf/202019204022.
Texto completo da fonteAbedini, Farhad, Mohammad Reza Keyvanpour e Mohammad Bagher Menhaj. "Correction Tower: A General Embedding Method of the Error Recognition for the Knowledge Graph Correction". International Journal of Pattern Recognition and Artificial Intelligence 34, n.º 10 (8 de janeiro de 2020): 2059034. http://dx.doi.org/10.1142/s021800142059034x.
Texto completo da fonteMohammadi, Bahram, Yicong Hong, Yuankai Qi, Qi Wu, Shirui Pan e Javen Qinfeng Shi. "Augmented Commonsense Knowledge for Remote Object Grounding". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 5 (24 de março de 2024): 4269–77. http://dx.doi.org/10.1609/aaai.v38i5.28223.
Texto completo da fonteGupta, Sudhanshu, e Krishna Kumar Tiwari. "Exploratory Search Prompt Generation using n-Degree Connection in Knowledge Graph". Asian Journal of Research in Computer Science 16, n.º 4 (9 de dezembro de 2023): 318–26. http://dx.doi.org/10.9734/ajrcos/2023/v16i4393.
Texto completo da fonteZhang, Litian, Xiaoming Zhang, Ziyi Zhou, Feiran Huang e Chaozhuo Li. "Reinforced Adaptive Knowledge Learning for Multimodal Fake News Detection". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 15 (24 de março de 2024): 16777–85. http://dx.doi.org/10.1609/aaai.v38i15.29618.
Texto completo da fonteLi, Chunhua, Pengpeng Zhao, Victor S. Sheng, Xuefeng Xian, Jian Wu e Zhiming Cui. "Refining Automatically Extracted Knowledge Bases Using Crowdsourcing". Computational Intelligence and Neuroscience 2017 (2017): 1–17. http://dx.doi.org/10.1155/2017/4092135.
Texto completo da fonteXu, Lin, Qixian Zhou, Ke Gong, Xiaodan Liang, Jianheng Tang e Liang Lin. "End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17 de julho de 2019): 7346–53. http://dx.doi.org/10.1609/aaai.v33i01.33017346.
Texto completo da fonteHuang, Wen Tao, Pei Lu Niu, Yin Feng Liu e Wei Jie Wang. "Spur Bevel Gearbox Fault Diagnosis Based on Wavelet Packet Transform for Feature Extraction and Flow Graph Data Mining". Advanced Materials Research 753-755 (agosto de 2013): 2297–302. http://dx.doi.org/10.4028/www.scientific.net/amr.753-755.2297.
Texto completo da fonteFan, Yan, Yu Wang, Pengfei Zhu e Qinghua Hu. "Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 11 (24 de março de 2024): 11927–35. http://dx.doi.org/10.1609/aaai.v38i11.29079.
Texto completo da fonteQu, Fang, Youqiang Sun, Man Zhou, Liu Liu, Huamin Yang, Junqing Zhang, He Huang e Danfeng Hong. "Vegetation Land Segmentation with Multi-Modal and Multi-Temporal Remote Sensing Images: A Temporal Learning Approach and a New Dataset". Remote Sensing 16, n.º 1 (19 de dezembro de 2023): 3. http://dx.doi.org/10.3390/rs16010003.
Texto completo da fonteD’yachkova, Olga N., e Alexander E. Mikhailov. "Management of urban public green spaces". Stroitel'stvo: nauka i obrazovanie [Construction: Science and Education] 13, n.º 1 (30 de março de 2023): 152–73. http://dx.doi.org/10.22227/2305-5502.2023.1.11.
Texto completo da fontePerera, S. N., N. Hetti Arachchige e D. Schneider. "Integration of Image Data for Refining Building Boundaries Derived from Point Clouds". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3 (11 de agosto de 2014): 253–58. http://dx.doi.org/10.5194/isprsarchives-xl-3-253-2014.
Texto completo da fonteWallner, Johannes P., Andreas Niskanen e Matti Järvisalo. "Complexity Results and Algorithms for Extension Enforcement in Abstract Argumentation". Journal of Artificial Intelligence Research 60 (13 de setembro de 2017): 1–40. http://dx.doi.org/10.1613/jair.5415.
Texto completo da fonteSaxena, Mohit Chandra, Munish Sabharwal e Preeti Bajaj. "Exploring Path Computation Techniques in Software-Defined Networking: A Review and Performance Evaluation of Centralized, Distributed, and Hybrid Approaches". International Journal on Recent and Innovation Trends in Computing and Communication 11, n.º 9s (31 de agosto de 2023): 553–67. http://dx.doi.org/10.17762/ijritcc.v11i9s.7468.
Texto completo da fonteHarrahill, Kieran, Áine Macken-Walsh, Eoin O’Neill e Mick Lennon. "An Analysis of Irish Dairy Farmers’ Participation in the Bioeconomy: Exploring Power and Knowledge Dynamics in a Multi-actor EIP-AGRI Operational Group". Sustainability 14, n.º 19 (24 de setembro de 2022): 12098. http://dx.doi.org/10.3390/su141912098.
Texto completo da fonteBarrière, Caroline. "Hierarchical refinement and representation of the causal relation". Terminology 8, n.º 1 (21 de junho de 2002): 91–111. http://dx.doi.org/10.1075/term.8.1.05bar.
Texto completo da fonteOSIPOVA, Irina. "Dynamic model construction method for coal quality control in complex-structural deposits". Sustainable Development of Mountain Territories 14, n.º 4 (30 de dezembro de 2022): 586–93. http://dx.doi.org/10.21177/1998-4502-2022-14-4-586-593.
Texto completo da fonteCai, Yuandao, e Charles Zhang. "A Cocktail Approach to Practical Call Graph Construction". Proceedings of the ACM on Programming Languages 7, OOPSLA2 (16 de outubro de 2023): 1001–33. http://dx.doi.org/10.1145/3622833.
Texto completo da fonteOpiła, Janusz. "Role of Visualization in a Knowledge Transfer Process". Business Systems Research Journal 10, n.º 1 (1 de abril de 2019): 164–79. http://dx.doi.org/10.2478/bsrj-2019-0012.
Texto completo da fonteDing, Yepeng, e Hiroyuki Sato. "Formalism-Driven Development: Concepts, Taxonomy, and Practice". Applied Sciences 12, n.º 7 (27 de março de 2022): 3415. http://dx.doi.org/10.3390/app12073415.
Texto completo da fonteChebanyuk, O. V., O. V. Palahin e K. K. Markov. "Domain engineering approach of software requirements analysis". PROBLEMS IN PROGRAMMING, n.º 2-3 (setembro de 2020): 164–72. http://dx.doi.org/10.15407/pp2020.02-03.164.
Texto completo da fonteHuang, Jingxiu, Ruofei Ding, Xiaomin Wu, Shumin Chen, Jiale Zhang, Lixiang Liu e Yunxiang Zheng. "WERECE: An Unsupervised Method for Educational Concept Extraction Based on Word Embedding Refinement". Applied Sciences 13, n.º 22 (14 de novembro de 2023): 12307. http://dx.doi.org/10.3390/app132212307.
Texto completo da fonteCelino, Irene, Gloria Re Calegari e Andrea Fiano. "Refining Linked Data with Games with a Purpose". Data Intelligence 2, n.º 3 (julho de 2020): 417–42. http://dx.doi.org/10.1162/dint_a_00056.
Texto completo da fonteSokolov, A. V., e L. A. Sokolova. "Monitoring and Forecasting the Dynamics of the Incidence of COVID-19 in Moscow: 2020–2021". Epidemiology and Vaccinal Prevention 21, n.º 4 (15 de setembro de 2022): 48–59. http://dx.doi.org/10.31631/2073-3046-2022-21-4-48-59.
Texto completo da fonteSubagdja, Budhitama, Shanthoshigaa D, Zhaoxia Wang e Ah-Hwee Tan. "Machine Learning for Refining Knowledge Graphs: A Survey". ACM Computing Surveys, 15 de janeiro de 2024. http://dx.doi.org/10.1145/3640313.
Texto completo da fonteHuseynli, Alisettar, e M. Ali Akcayol. "Continuous Knowledge Graph Refinement with Confidence Propagation". IEEE Access, 2023, 1. http://dx.doi.org/10.1109/access.2023.3283925.
Texto completo da fonteVerma, Shilpa, Rajesh Bhatia, Sandeep Harit e Sanjay Batish. "Scholarly knowledge graphs through structuring scholarly communication: a review". Complex & Intelligent Systems, 9 de agosto de 2022. http://dx.doi.org/10.1007/s40747-022-00806-6.
Texto completo da fonteZhong, Lingfeng, Jia Wu, Qian Li, Hao Peng e Xindong Wu. "A Comprehensive Survey on Automatic Knowledge Graph Construction". ACM Computing Surveys, 5 de setembro de 2023. http://dx.doi.org/10.1145/3618295.
Texto completo da fonteNayantara Jeyaraj, Manuela, Srinath Perera, Malith Jayasinghe e Nadheesh Jihan. "Probabilistic Error Detection Model for Knowledge Graph Refinement". Computación y Sistemas 26, n.º 3 (5 de setembro de 2022). http://dx.doi.org/10.13053/cys-26-3-4346.
Texto completo da fonteKim, Haklae. "A knowledge graph of interlinking digital records: the case of the 1997 Korean financial crisis". Electronic Library, 3 de outubro de 2023. http://dx.doi.org/10.1108/el-05-2023-0131.
Texto completo da fonteFenoglio, Enzo, Emre Kazim, Hugo Latapie e Adriano Koshiyama. "Tacit knowledge elicitation process for industry 4.0". Discover Artificial Intelligence 2, n.º 1 (10 de março de 2022). http://dx.doi.org/10.1007/s44163-022-00020-w.
Texto completo da fonteBabalou, Samira, David Schellenberger Costa, Helge Bruelheide, Jens Kattge, Christine Römermann, Christian Wirth e Birgitta König-Ries. "iKNOW: A platform for knowledge graph construction for biodiversity". Biodiversity Information Science and Standards 6 (23 de agosto de 2022). http://dx.doi.org/10.3897/biss.6.93867.
Texto completo da fonteXiao, Meng, Dongjie Wang, Min Wu, Kunpeng Liu, Hui Xiong, Yuanchun Zhou e Yanjie Fu. "Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective". ACM Transactions on Knowledge Discovery from Data, 20 de dezembro de 2023. http://dx.doi.org/10.1145/3638059.
Texto completo da fonte"Large-Scale Knowledge Synthesis and Complex Information Retrieval from Biomedical Documents". Journal of Anesthesia & Pain Medicine 8, n.º 3 (16 de maio de 2023). http://dx.doi.org/10.33140/japm.08.03.03.
Texto completo da fonteAngelis, Sotiris, Efthymia Moraitou, George Caridakis e Konstantinos Kotis. "CHEKG: a collaborative and hybrid methodology for engineering modular and fair domain-specific knowledge graphs". Knowledge and Information Systems, 20 de abril de 2024. http://dx.doi.org/10.1007/s10115-024-02110-w.
Texto completo da fonteKumar, Sumit, Leela Venkata Lokesh Billa, Ojaswi Bhimineni, Dr Rachana Jaiswal e Aadarsh Bisht. "Implementation of ICT Tools in a Vocational Skill Development Program". International Journal of Next-Generation Computing, 31 de outubro de 2022. http://dx.doi.org/10.47164/ijngc.v13i3.729.
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