Literatura académica sobre el tema "Knowledge Graphs (KG)"
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Artículos de revistas sobre el tema "Knowledge Graphs (KG)"
Khan, Arijit. "Knowledge Graphs Querying". ACM SIGMOD Record 52, n.º 2 (10 de agosto de 2023): 18–29. http://dx.doi.org/10.1145/3615952.3615956.
Texto completoKejriwal, Mayank. "Knowledge Graphs: A Practical Review of the Research Landscape". Information 13, n.º 4 (23 de marzo de 2022): 161. http://dx.doi.org/10.3390/info13040161.
Texto completoYang, Xu, Ziyi Huan, Yisong Zhai y Ting Lin. "Research of Personalized Recommendation Technology Based on Knowledge Graphs". Applied Sciences 11, n.º 15 (31 de julio de 2021): 7104. http://dx.doi.org/10.3390/app11157104.
Texto completoCao, Keyan y Chuang Zheng. "TBRm: A Time Representation Method for Industrial Knowledge Graph". Applied Sciences 12, n.º 22 (8 de noviembre de 2022): 11316. http://dx.doi.org/10.3390/app122211316.
Texto completoKrinkin, Kirill, Alexander Ivanovich Vodyaho, Igor Kulikov y Nataly Zhukova. "Deductive Synthesis of Networks Hierarchical Knowledge Graphs". International Journal of Embedded and Real-Time Communication Systems 12, n.º 3 (julio de 2021): 32–48. http://dx.doi.org/10.4018/ijertcs.2021070103.
Texto completoTong, Peihao, Qifan Zhang y Junjie Yao. "Leveraging Domain Context for Question Answering Over Knowledge Graph". Data Science and Engineering 4, n.º 4 (4 de noviembre de 2019): 323–35. http://dx.doi.org/10.1007/s41019-019-00109-w.
Texto completoHao, Wu, Jiao Menglin, Tian Guohui, Ma Qing y Liu Guoliang. "R-KG: A Novel Method for Implementing a Robot Intelligent Service". AI 1, n.º 1 (2 de marzo de 2020): 117–40. http://dx.doi.org/10.3390/ai1010006.
Texto completoChen, Xuelu, Muhao Chen, Weijia Shi, Yizhou Sun y Carlo Zaniolo. "Embedding Uncertain Knowledge Graphs". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17 de julio de 2019): 3363–70. http://dx.doi.org/10.1609/aaai.v33i01.33013363.
Texto completoMonka, Sebastian, Lavdim Halilaj y Achim Rettinger. "A survey on visual transfer learning using knowledge graphs". Semantic Web 13, n.º 3 (6 de abril de 2022): 477–510. http://dx.doi.org/10.3233/sw-212959.
Texto completoLi, Tongxin, Weiping Wang, Xiaobo Li, Tao Wang, Xin Zhou y Meigen Huang. "Embedding Uncertain Temporal Knowledge Graphs". Mathematics 11, n.º 3 (3 de febrero de 2023): 775. http://dx.doi.org/10.3390/math11030775.
Texto completoTesis sobre el tema "Knowledge Graphs (KG)"
Salehpour, Masoud. "High-performance Query Processing over Knowledge Graphs". Thesis, The University of Sydney, 2022. https://hdl.handle.net/2123/28569.
Texto completoOjha, Prakhar. "Utilizing Worker Groups And Task Dependencies in Crowdsourcing". Thesis, 2017. http://etd.iisc.ac.in/handle/2005/4265.
Texto completoSaxena, Apoorv Umang. "Leveraging KG Embeddings for Knowledge Graph Question Answering". Thesis, 2023. https://etd.iisc.ac.in/handle/2005/6082.
Texto completoCapítulos de libros sobre el tema "Knowledge Graphs (KG)"
Pflueger, Maximilian, David J. Tena Cucala y Egor V. Kostylev. "GNNQ: A Neuro-Symbolic Approach to Query Answering over Incomplete Knowledge Graphs". En The Semantic Web – ISWC 2022, 481–97. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-19433-7_28.
Texto completoRanganathan, Varun y Natarajan Subramanyam. "SDE-KG: A Stochastic Dynamic Environment for Knowledge Graphs". En Machine Learning and Knowledge Discovery in Databases, 483–88. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43823-4_39.
Texto completoGhosh, Devanshika y Enayat Rajabi. "KG-Visual: A Tool for Visualizing RDF Knowledge Graphs". En Metadata and Semantic Research, 126–36. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98876-0_11.
Texto completoSardina, Jeffrey, Callie Sardina, John D. Kelleher y Declan O’Sullivan. "Analysis of Attention Mechanisms in Box-Embedding Systems". En Communications in Computer and Information Science, 68–80. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-26438-2_6.
Texto completoSanou, Gaoussou, Véronique Giudicelli, Nika Abdollahi, Sofia Kossida, Konstantin Todorov y Patrice Duroux. "IMGT-KG: A Knowledge Graph for Immunogenetics". En The Semantic Web – ISWC 2022, 628–42. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-19433-7_36.
Texto completoWu, Tianxing, Cong Gao, Guilin Qi, Lei Zhang, Chuanqi Dong, He Liu y Du Zhang. "KG-Buddhism: The Chinese Knowledge Graph on Buddhism". En Semantic Technology, 259–67. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70682-5_17.
Texto completoMöller, Cedric. "Knowledge Graph Population with Out-of-KG Entities". En The Semantic Web: ESWC 2022 Satellite Events, 199–214. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11609-4_35.
Texto completoKwapong, Benjamin, Amartya Sen y Kenneth K. Fletcher. "ELECTRA-KG: A Transformer-Knowledge Graph Recommender System". En Services Computing – SCC 2022, 56–70. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-23515-3_5.
Texto completoDessì, Danilo, Francesco Osborne, Diego Reforgiato Recupero, Davide Buscaldi, Enrico Motta y Harald Sack. "AI-KG: An Automatically Generated Knowledge Graph of Artificial Intelligence". En Lecture Notes in Computer Science, 127–43. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62466-8_9.
Texto completoZárate, Marcos, Carlos Buckle, Renato Mazzanti, Mirtha Lewis, Pablo Fillottrani y Claudio Delrieux. "Harmonizing Big Data with a Knowledge Graph: OceanGraph KG Uses Case". En Communications in Computer and Information Science, 81–92. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61218-4_6.
Texto completoActas de conferencias sobre el tema "Knowledge Graphs (KG)"
Chen, Mingyang, Wen Zhang, Zhen Yao, Xiangnan Chen, Mengxiao Ding, Fei Huang y Huajun Chen. "Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting". En Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/273.
Texto completoWei, Xing y Jiangjiang Liu. "Effects of Nonlinear Functions on Knowledge Graph Convolutional Networks for Recommender Systems with Yelp Knowledge Graph". En 11th International Conference on Computer Science and Information Technology (CCSIT 2021). AIRCC Publishing Corporation, 2021. http://dx.doi.org/10.5121/csit.2021.110715.
Texto completoWu, Yuting, Xiao Liu, Yansong Feng, Zheng Wang, Rui Yan y Dongyan Zhao. "Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs". En Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/733.
Texto completoLi, Shuxin, Zixian Huang, Gong Cheng, Evgeny Kharlamov y Kalpa Gunaratna. "Enriching Documents with Compact, Representative, Relevant Knowledge Graphs". En Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/242.
Texto completoXia, Feng, Francesco Osborne y Shuo Yu. "Session details: Theme: Artificial intelligence and agents: KG - knowledge graphs track". En SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3535433.
Texto completoHuang, Yu-Xuan, Zequn Sun, Guangyao Li, Xiaobin Tian, Wang-Zhou Dai, Wei Hu, Yuan Jiang y Zhi-Hua Zhou. "Enabling Abductive Learning to Exploit Knowledge Graph". En Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/427.
Texto completoWu, Zhanglin, Min Zhang, Ming Zhu, Yinglu Li, Ting Zhu, Hao Yang, Song Peng y Ying Qin. "KG-BERTScore: Incorporating Knowledge Graph into BERTScore for Reference-Free Machine Translation Evaluation". En IJCKG 2022: 11th International Joint Conference On Knowledge Graphs. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3579051.3579065.
Texto completoZhou, Dongzhuoran, Baifan Zhou, Jieying Chen, Gong Cheng, Egor Kostylev y Evgeny Kharlamov. "Towards Ontology Reshaping for KG Generation with User-in-the-Loop: Applied to Bosch Welding". En IJCKG'21: The 10th International Joint Conference on Knowledge Graphs. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3502223.3502243.
Texto completoOsama, Mayar y Mervat Abu Elkheir. "Can Incremental Learning help with KG Completion?" En 13th International Conference on Computer Science, Engineering and Applications (CCSEA 2023). Academy and Industry Research Collaboration Center (AIRCC), 2023. http://dx.doi.org/10.5121/csit.2023.130510.
Texto completoShahinmoghadam, Mehrzad Shahinmoghadam, Ali Motamedi y Mohammad Mostafa Soltani. "Leveraging Textual Information for Knowledge Graph-oriented Machine Learning: A Case Study in the Construction Industry". En The 29th EG-ICE International Workshop on Intelligent Computing in Engineering. EG-ICE, 2022. http://dx.doi.org/10.7146/aul.455.c216.
Texto completoInformes sobre el tema "Knowledge Graphs (KG)"
Law, Edward, Samuel Gan-Mor, Hazel Wetzstein y Dan Eisikowitch. Electrostatic Processes Underlying Natural and Mechanized Transfer of Pollen. United States Department of Agriculture, mayo de 1998. http://dx.doi.org/10.32747/1998.7613035.bard.
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