Artículos de revistas sobre el tema "Knowledge Graph Evaluation"
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Gao, Junyang, Xian Li, Yifan Ethan Xu, Bunyamin Sisman, Xin Luna Dong y Jun Yang. "Efficient knowledge graph accuracy evaluation". Proceedings of the VLDB Endowment 12, n.º 11 (julio de 2019): 1679–91. http://dx.doi.org/10.14778/3342263.3342642.
Texto completoWang, Wenguang, Yonglin Xu, Chunhui Du, Yunwen Chen, Yijie Wang y Hui Wen. "Data Set and Evaluation of Automated Construction of Financial Knowledge Graph". Data Intelligence 3, n.º 3 (2021): 418–43. http://dx.doi.org/10.1162/dint_a_00108.
Texto completoAlshahrani, Mona, Maha A. Thafar y Magbubah Essack. "Application and evaluation of knowledge graph embeddings in biomedical data". PeerJ Computer Science 7 (18 de febrero de 2021): e341. http://dx.doi.org/10.7717/peerj-cs.341.
Texto completoMao, Yanmei. "Summary and Evaluation of the Application of Knowledge Graphs in Education 2007–2020". Discrete Dynamics in Nature and Society 2021 (28 de septiembre de 2021): 1–10. http://dx.doi.org/10.1155/2021/6304109.
Texto completoMalaviya, Chaitanya, Chandra Bhagavatula, Antoine Bosselut y Yejin Choi. "Commonsense Knowledge Base Completion with Structural and Semantic Context". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 03 (3 de abril de 2020): 2925–33. http://dx.doi.org/10.1609/aaai.v34i03.5684.
Texto completoSekkal, Houda, Naïla Amrous y Samir Bennani. "Knowledge graph-based method for solutions detection and evaluation in an online problem-solving community". International Journal of Electrical and Computer Engineering (IJECE) 12, n.º 6 (1 de diciembre de 2022): 6350. http://dx.doi.org/10.11591/ijece.v12i6.pp6350-6362.
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, Pu, Tianci Li, Xin Wang, Suzhi Zhang, Yuncheng Jiang y Yong Tang. "Scholar Recommendation Based on High-Order Propagation of Knowledge Graphs". International Journal on Semantic Web and Information Systems 18, n.º 1 (enero de 2022): 1–19. http://dx.doi.org/10.4018/ijswis.297146.
Texto completoGrundspenkis, Janis y Maija Strautmane. "Usage of Graph Patterns for Knowledge Assessment Based on Concept Maps". Scientific Journal of Riga Technical University. Computer Sciences 38, n.º 38 (1 de enero de 2009): 60–71. http://dx.doi.org/10.2478/v10143-009-0005-y.
Texto completoZhang, Yixiao, Xiaosong Wang, Ziyue Xu, Qihang Yu, Alan Yuille y Daguang Xu. "When Radiology Report Generation Meets Knowledge Graph". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 07 (3 de abril de 2020): 12910–17. http://dx.doi.org/10.1609/aaai.v34i07.6989.
Texto completoZhang, Peng, Yi Bu, Peng Jiang, Xiaowen Shi, Bing Lun, Chongyan Chen, Arida Ferti Syafiandini, Ying Ding y Min Song. "Toward a Coronavirus Knowledge Graph". Genes 12, n.º 7 (29 de junio de 2021): 998. http://dx.doi.org/10.3390/genes12070998.
Texto completoKurniawan, Kabul, Andreas Ekelhart, Elmar Kiesling, Dietmar Winkler, Gerald Quirchmayr y A. Min Tjoa. "VloGraph: A Virtual Knowledge Graph Framework for Distributed Security Log Analysis". Machine Learning and Knowledge Extraction 4, n.º 2 (11 de abril de 2022): 371–96. http://dx.doi.org/10.3390/make4020016.
Texto completoZhang, Yongmei, Zhirong Du y Lei Hu. "A construction method of urban road risky vehicles based on dynamic knowledge graph". Electronic Research Archive 31, n.º 7 (2023): 3776–90. http://dx.doi.org/10.3934/era.2023192.
Texto completoLi, Pu, Guohao Zhou, Zhilei Yin, Rui Chen y Suzhi Zhang. "A Semantically Enhanced Knowledge Discovery Method for Knowledge Graph Based on Adjacency Fuzzy Predicates Reasoning". International Journal on Semantic Web and Information Systems 19, n.º 1 (1 de junio de 2023): 1–24. http://dx.doi.org/10.4018/ijswis.323921.
Texto completoWang, Shu, Xueying Zhang, Peng Ye, Mi Du, Yanxu Lu y Haonan Xue. "Geographic Knowledge Graph (GeoKG): A Formalized Geographic Knowledge Representation". ISPRS International Journal of Geo-Information 8, n.º 4 (8 de abril de 2019): 184. http://dx.doi.org/10.3390/ijgi8040184.
Texto completoLi, Christy Y., Xiaodan Liang, Zhiting Hu y Eric P. Xing. "Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17 de julio de 2019): 6666–73. http://dx.doi.org/10.1609/aaai.v33i01.33016666.
Texto completoHoffmann, Maximilian y Ralph Bergmann. "Using Graph Embedding Techniques in Process-Oriented Case-Based Reasoning". Algorithms 15, n.º 2 (18 de enero de 2022): 27. http://dx.doi.org/10.3390/a15020027.
Texto completoZhu, Yongjun, Chao Che, Bo Jin, Ningrui Zhang, Chang Su y Fei Wang. "Knowledge-driven drug repurposing using a comprehensive drug knowledge graph". Health Informatics Journal 26, n.º 4 (17 de julio de 2020): 2737–50. http://dx.doi.org/10.1177/1460458220937101.
Texto completoBúr, Márton, Gábor Szilágyi, András Vörös y Dániel Varró. "Distributed graph queries over models@run.time for runtime monitoring of cyber-physical systems". International Journal on Software Tools for Technology Transfer 22, n.º 1 (26 de septiembre de 2019): 79–102. http://dx.doi.org/10.1007/s10009-019-00531-5.
Texto completoKim, Jongmo, Kunyoung Kim, Mye Sohn y Gyudong Park. "Deep Model-Based Security-Aware Entity Alignment Method for Edge-Specific Knowledge Graphs". Sustainability 14, n.º 14 (20 de julio de 2022): 8877. http://dx.doi.org/10.3390/su14148877.
Texto completoMežnar, Sebastian, Matej Bevec, Nada Lavrač y Blaž Škrlj. "Ontology Completion with Graph-Based Machine Learning: A Comprehensive Evaluation". Machine Learning and Knowledge Extraction 4, n.º 4 (1 de diciembre de 2022): 1107–23. http://dx.doi.org/10.3390/make4040056.
Texto completoZhang, Yuxin, Bohan Li, Han Gao, Ye Ji, Han Yang, Meng Wang y Weitong Chen. "Fine-Grained Evaluation of Knowledge Graph Embedding Model in Knowledge Enhancement Downstream Tasks". Big Data Research 25 (julio de 2021): 100218. http://dx.doi.org/10.1016/j.bdr.2021.100218.
Texto completoCox, Steven, Stanley C. Ahalt, James Balhoff, Chris Bizon, Karamarie Fecho, Yaphet Kebede, Kenneth Morton, Alexander Tropsha, Patrick Wang y Hao Xu. "Visualization Environment for Federated Knowledge Graphs: Development of an Interactive Biomedical Query Language and Web Application Interface". JMIR Medical Informatics 8, n.º 11 (23 de noviembre de 2020): e17964. http://dx.doi.org/10.2196/17964.
Texto completoPaulheim, Heiko. "Knowledge graph refinement: A survey of approaches and evaluation methods". Semantic Web 8, n.º 3 (6 de diciembre de 2016): 489–508. http://dx.doi.org/10.3233/sw-160218.
Texto completoSun, Haixia, Jin Xiao, Wei Zhu, Yilong He, Sheng Zhang, Xiaowei Xu, Li Hou, Jiao Li, Yuan Ni y Guotong Xie. "Medical Knowledge Graph to Enhance Fraud, Waste, and Abuse Detection on Claim Data: Model Development and Performance Evaluation". JMIR Medical Informatics 8, n.º 7 (23 de julio de 2020): e17653. http://dx.doi.org/10.2196/17653.
Texto completoVaritimiadis, Savvas, Konstantinos Kotis, Dimitra Pittou y Georgios Konstantakis. "Graph-Based Conversational AI: Towards a Distributed and Collaborative Multi-Chatbot Approach for Museums". Applied Sciences 11, n.º 19 (1 de octubre de 2021): 9160. http://dx.doi.org/10.3390/app11199160.
Texto completoPortisch, Jan, Nicolas Heist y Heiko Paulheim. "Knowledge graph embedding for data mining vs. knowledge graph embedding for link prediction – two sides of the same coin?" Semantic Web 13, n.º 3 (6 de abril de 2022): 399–422. http://dx.doi.org/10.3233/sw-212892.
Texto completoLi, Linfeng, Peng Wang, Yao Wang, Shenghui Wang, Jun Yan, Jinpeng Jiang, Buzhou Tang, Chengliang Wang y Yuting Liu. "A Method to Learn Embedding of a Probabilistic Medical Knowledge Graph: Algorithm Development". JMIR Medical Informatics 8, n.º 5 (21 de mayo de 2020): e17645. http://dx.doi.org/10.2196/17645.
Texto completoChoi, Junho. "Graph Embedding-Based Domain-Specific Knowledge Graph Expansion Using Research Literature Summary". Sustainability 14, n.º 19 (27 de septiembre de 2022): 12299. http://dx.doi.org/10.3390/su141912299.
Texto completoDorodnykh, N. O. y A. Yu Yurin. "An approach for automated knowledge graph filling with entities based on table analysis". Ontology of Designing 12, n.º 3 (27 de septiembre de 2022): 336–52. http://dx.doi.org/10.18287/2223-9537-2022-12-3-336-352.
Texto completoFerrari, Ilaria, Giacomo Frisoni, Paolo Italiani, Gianluca Moro y Claudio Sartori. "Comprehensive Analysis of Knowledge Graph Embedding Techniques Benchmarked on Link Prediction". Electronics 11, n.º 23 (23 de noviembre de 2022): 3866. http://dx.doi.org/10.3390/electronics11233866.
Texto completoKochsiek, Adrian y Rainer Gemulla. "Parallel training of knowledge graph embedding models". Proceedings of the VLDB Endowment 15, n.º 3 (noviembre de 2021): 633–45. http://dx.doi.org/10.14778/3494124.3494144.
Texto completoKim, Kuekyeng, Yuna Hur, Gyeongmin Kim y Heuiseok Lim. "GREG: A Global Level Relation Extraction with Knowledge Graph Embedding". Applied Sciences 10, n.º 3 (10 de febrero de 2020): 1181. http://dx.doi.org/10.3390/app10031181.
Texto completoXiong, Wangping, Jun Cao, Xian Zhou, Jianqiang Du, Bin Nie, Zhijun Zeng y Tianci Li. "Design and Evaluation of a Prescription Drug Monitoring Program for Chinese Patent Medicine based on Knowledge Graph". Evidence-Based Complementary and Alternative Medicine 2021 (16 de julio de 2021): 1–8. http://dx.doi.org/10.1155/2021/9970063.
Texto completoKim, Taejin, Yeoil Yun y Namgyu Kim. "Deep Learning-Based Knowledge Graph Generation for COVID-19". Sustainability 13, n.º 4 (19 de febrero de 2021): 2276. http://dx.doi.org/10.3390/su13042276.
Texto completoLiao, Danlu. "Construction of Knowledge Graph English Online Homework Evaluation System Based on Multimodal Neural Network Feature Extraction". Computational Intelligence and Neuroscience 2022 (13 de mayo de 2022): 1–12. http://dx.doi.org/10.1155/2022/7941414.
Texto completoYan, Jianzhuo, Tiantian Lv y Yongchuan Yu. "Construction and Recommendation of a Water Affair Knowledge Graph". Sustainability 10, n.º 10 (26 de septiembre de 2018): 3429. http://dx.doi.org/10.3390/su10103429.
Texto completoXu, Jiakang, Wolfgang Mayer, Hongyu Zhang, Keqing He y Zaiwen Feng. "Automatic Semantic Modeling for Structural Data Source with the Prior Knowledge from Knowledge Base". Mathematics 10, n.º 24 (15 de diciembre de 2022): 4778. http://dx.doi.org/10.3390/math10244778.
Texto completoXu, Guoyan, Qirui Zhang, Du Yu, Sijun Lu y Yuwei Lu. "JKRL: Joint Knowledge Representation Learning of Text Description and Knowledge Graph". Symmetry 15, n.º 5 (10 de mayo de 2023): 1056. http://dx.doi.org/10.3390/sym15051056.
Texto completoWelivita, Anuradha y Pearl Pu. "HEAL: A Knowledge Graph for Distress Management Conversations". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 10 (28 de junio de 2022): 11459–67. http://dx.doi.org/10.1609/aaai.v36i10.21398.
Texto completoAlam, Mehwish, Aldo Gangemi, Valentina Presutti y Diego Reforgiato Recupero. "Semantic role labeling for knowledge graph extraction from text". Progress in Artificial Intelligence 10, n.º 3 (5 de abril de 2021): 309–20. http://dx.doi.org/10.1007/s13748-021-00241-7.
Texto completoLuo, Zhiwei, Rong Xie, Wen Chen y Zetao Ye. "Automatic domain terminology extraction and its evaluation for domain knowledge graph construction". Web Intelligence 16, n.º 3 (11 de septiembre de 2018): 173–85. http://dx.doi.org/10.3233/web-180385.
Texto completoAhmad, Zishan, Asif Ekbal, Shubhashis Sengupta y Pushpak Bhattacharyya. "Neural response generation for task completion using conversational knowledge graph". PLOS ONE 18, n.º 2 (9 de febrero de 2023): e0269856. http://dx.doi.org/10.1371/journal.pone.0269856.
Texto completoKazimianec, Michail y Nikolaus Augsten. "Clustering with Proximity Graphs". International Journal of Knowledge-Based Organizations 3, n.º 4 (octubre de 2013): 84–104. http://dx.doi.org/10.4018/ijkbo.2013100105.
Texto completoYang, Yangrui, Yaping Zhu y Pengpeng Jian. "Application of Knowledge Graph in Water Conservancy Education Resource Organization under the Background of Big Data". Electronics 11, n.º 23 (26 de noviembre de 2022): 3913. http://dx.doi.org/10.3390/electronics11233913.
Texto completoLi, Zhi-Qing, Zi-Xuan Fu, Wen-Jun Li, Hao Fan, Shu-Nan Li, Xi-Mo Wang y Peng Zhou. "Prediction of Diabetic Macular Edema Using Knowledge Graph". Diagnostics 13, n.º 11 (26 de mayo de 2023): 1858. http://dx.doi.org/10.3390/diagnostics13111858.
Texto completoHernández-Almazán, Jorge Arturo, Juan Diego Lumbreras-Vega, Arturo Amaya Amaya y Rubén Machucho-Cadena. "Knowledge Graph to determine the domain of learning in Higher Education". Apertura 13, n.º 1 (26 de marzo de 2021): 118–33. http://dx.doi.org/10.32870/ap.v13n1.1937.
Texto completoLe, Tiep, Francesco Fabiano, Tran Son y Enrico Pontelli. "EFP and PG-EFP: Epistemic Forward Search Planners in Multi-Agent Domains". Proceedings of the International Conference on Automated Planning and Scheduling 28 (15 de junio de 2018): 161–70. http://dx.doi.org/10.1609/icaps.v28i1.13881.
Texto completoTauqeer, Amar, Anelia Kurteva, Tek Raj Chhetri, Albin Ahmeti y Anna Fensel. "Automated GDPR Contract Compliance Verification Using Knowledge Graphs". Information 13, n.º 10 (24 de septiembre de 2022): 447. http://dx.doi.org/10.3390/info13100447.
Texto completoHe, Qiang. "Human-computer interaction based on background knowledge and emotion certainty". PeerJ Computer Science 9 (31 de mayo de 2023): e1418. http://dx.doi.org/10.7717/peerj-cs.1418.
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