Статті в журналах з теми "Knowledge Graph Evaluation"
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Gao, Junyang, Xian Li, Yifan Ethan Xu, Bunyamin Sisman, Xin Luna Dong, and Jun Yang. "Efficient knowledge graph accuracy evaluation." Proceedings of the VLDB Endowment 12, no. 11 (July 2019): 1679–91. http://dx.doi.org/10.14778/3342263.3342642.
Повний текст джерелаWang, Wenguang, Yonglin Xu, Chunhui Du, Yunwen Chen, Yijie Wang, and Hui Wen. "Data Set and Evaluation of Automated Construction of Financial Knowledge Graph." Data Intelligence 3, no. 3 (2021): 418–43. http://dx.doi.org/10.1162/dint_a_00108.
Повний текст джерелаAlshahrani, Mona, Maha A. Thafar, and Magbubah Essack. "Application and evaluation of knowledge graph embeddings in biomedical data." PeerJ Computer Science 7 (February 18, 2021): e341. http://dx.doi.org/10.7717/peerj-cs.341.
Повний текст джерелаMao, Yanmei. "Summary and Evaluation of the Application of Knowledge Graphs in Education 2007–2020." Discrete Dynamics in Nature and Society 2021 (September 28, 2021): 1–10. http://dx.doi.org/10.1155/2021/6304109.
Повний текст джерелаMalaviya, Chaitanya, Chandra Bhagavatula, Antoine Bosselut, and Yejin Choi. "Commonsense Knowledge Base Completion with Structural and Semantic Context." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 03 (April 3, 2020): 2925–33. http://dx.doi.org/10.1609/aaai.v34i03.5684.
Повний текст джерелаSekkal, Houda, Naïla Amrous, and 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, no. 6 (December 1, 2022): 6350. http://dx.doi.org/10.11591/ijece.v12i6.pp6350-6362.
Повний текст джерелаMonka, Sebastian, Lavdim Halilaj, and Achim Rettinger. "A survey on visual transfer learning using knowledge graphs." Semantic Web 13, no. 3 (April 6, 2022): 477–510. http://dx.doi.org/10.3233/sw-212959.
Повний текст джерелаLi, Pu, Tianci Li, Xin Wang, Suzhi Zhang, Yuncheng Jiang, and Yong Tang. "Scholar Recommendation Based on High-Order Propagation of Knowledge Graphs." International Journal on Semantic Web and Information Systems 18, no. 1 (January 2022): 1–19. http://dx.doi.org/10.4018/ijswis.297146.
Повний текст джерелаGrundspenkis, Janis, and Maija Strautmane. "Usage of Graph Patterns for Knowledge Assessment Based on Concept Maps." Scientific Journal of Riga Technical University. Computer Sciences 38, no. 38 (January 1, 2009): 60–71. http://dx.doi.org/10.2478/v10143-009-0005-y.
Повний текст джерелаZhang, Yixiao, Xiaosong Wang, Ziyue Xu, Qihang Yu, Alan Yuille, and Daguang Xu. "When Radiology Report Generation Meets Knowledge Graph." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (April 3, 2020): 12910–17. http://dx.doi.org/10.1609/aaai.v34i07.6989.
Повний текст джерелаZhang, Peng, Yi Bu, Peng Jiang, Xiaowen Shi, Bing Lun, Chongyan Chen, Arida Ferti Syafiandini, Ying Ding, and Min Song. "Toward a Coronavirus Knowledge Graph." Genes 12, no. 7 (June 29, 2021): 998. http://dx.doi.org/10.3390/genes12070998.
Повний текст джерелаKurniawan, Kabul, Andreas Ekelhart, Elmar Kiesling, Dietmar Winkler, Gerald Quirchmayr, and A. Min Tjoa. "VloGraph: A Virtual Knowledge Graph Framework for Distributed Security Log Analysis." Machine Learning and Knowledge Extraction 4, no. 2 (April 11, 2022): 371–96. http://dx.doi.org/10.3390/make4020016.
Повний текст джерелаZhang, Yongmei, Zhirong Du, and Lei Hu. "A construction method of urban road risky vehicles based on dynamic knowledge graph." Electronic Research Archive 31, no. 7 (2023): 3776–90. http://dx.doi.org/10.3934/era.2023192.
Повний текст джерелаLi, Pu, Guohao Zhou, Zhilei Yin, Rui Chen, and 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, no. 1 (June 1, 2023): 1–24. http://dx.doi.org/10.4018/ijswis.323921.
Повний текст джерелаWang, Shu, Xueying Zhang, Peng Ye, Mi Du, Yanxu Lu, and Haonan Xue. "Geographic Knowledge Graph (GeoKG): A Formalized Geographic Knowledge Representation." ISPRS International Journal of Geo-Information 8, no. 4 (April 8, 2019): 184. http://dx.doi.org/10.3390/ijgi8040184.
Повний текст джерелаLi, Christy Y., Xiaodan Liang, Zhiting Hu, and Eric P. Xing. "Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 6666–73. http://dx.doi.org/10.1609/aaai.v33i01.33016666.
Повний текст джерелаHoffmann, Maximilian, and Ralph Bergmann. "Using Graph Embedding Techniques in Process-Oriented Case-Based Reasoning." Algorithms 15, no. 2 (January 18, 2022): 27. http://dx.doi.org/10.3390/a15020027.
Повний текст джерелаZhu, Yongjun, Chao Che, Bo Jin, Ningrui Zhang, Chang Su, and Fei Wang. "Knowledge-driven drug repurposing using a comprehensive drug knowledge graph." Health Informatics Journal 26, no. 4 (July 17, 2020): 2737–50. http://dx.doi.org/10.1177/1460458220937101.
Повний текст джерелаBúr, Márton, Gábor Szilágyi, András Vörös, and 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, no. 1 (September 26, 2019): 79–102. http://dx.doi.org/10.1007/s10009-019-00531-5.
Повний текст джерелаKim, Jongmo, Kunyoung Kim, Mye Sohn, and Gyudong Park. "Deep Model-Based Security-Aware Entity Alignment Method for Edge-Specific Knowledge Graphs." Sustainability 14, no. 14 (July 20, 2022): 8877. http://dx.doi.org/10.3390/su14148877.
Повний текст джерелаMežnar, Sebastian, Matej Bevec, Nada Lavrač, and Blaž Škrlj. "Ontology Completion with Graph-Based Machine Learning: A Comprehensive Evaluation." Machine Learning and Knowledge Extraction 4, no. 4 (December 1, 2022): 1107–23. http://dx.doi.org/10.3390/make4040056.
Повний текст джерелаZhang, Yuxin, Bohan Li, Han Gao, Ye Ji, Han Yang, Meng Wang, and Weitong Chen. "Fine-Grained Evaluation of Knowledge Graph Embedding Model in Knowledge Enhancement Downstream Tasks." Big Data Research 25 (July 2021): 100218. http://dx.doi.org/10.1016/j.bdr.2021.100218.
Повний текст джерелаCox, Steven, Stanley C. Ahalt, James Balhoff, Chris Bizon, Karamarie Fecho, Yaphet Kebede, Kenneth Morton, Alexander Tropsha, Patrick Wang, and Hao Xu. "Visualization Environment for Federated Knowledge Graphs: Development of an Interactive Biomedical Query Language and Web Application Interface." JMIR Medical Informatics 8, no. 11 (November 23, 2020): e17964. http://dx.doi.org/10.2196/17964.
Повний текст джерелаPaulheim, Heiko. "Knowledge graph refinement: A survey of approaches and evaluation methods." Semantic Web 8, no. 3 (December 6, 2016): 489–508. http://dx.doi.org/10.3233/sw-160218.
Повний текст джерелаSun, Haixia, Jin Xiao, Wei Zhu, Yilong He, Sheng Zhang, Xiaowei Xu, Li Hou, Jiao Li, Yuan Ni, and Guotong Xie. "Medical Knowledge Graph to Enhance Fraud, Waste, and Abuse Detection on Claim Data: Model Development and Performance Evaluation." JMIR Medical Informatics 8, no. 7 (July 23, 2020): e17653. http://dx.doi.org/10.2196/17653.
Повний текст джерелаVaritimiadis, Savvas, Konstantinos Kotis, Dimitra Pittou, and Georgios Konstantakis. "Graph-Based Conversational AI: Towards a Distributed and Collaborative Multi-Chatbot Approach for Museums." Applied Sciences 11, no. 19 (October 1, 2021): 9160. http://dx.doi.org/10.3390/app11199160.
Повний текст джерелаPortisch, Jan, Nicolas Heist, and Heiko Paulheim. "Knowledge graph embedding for data mining vs. knowledge graph embedding for link prediction – two sides of the same coin?" Semantic Web 13, no. 3 (April 6, 2022): 399–422. http://dx.doi.org/10.3233/sw-212892.
Повний текст джерелаLi, Linfeng, Peng Wang, Yao Wang, Shenghui Wang, Jun Yan, Jinpeng Jiang, Buzhou Tang, Chengliang Wang, and Yuting Liu. "A Method to Learn Embedding of a Probabilistic Medical Knowledge Graph: Algorithm Development." JMIR Medical Informatics 8, no. 5 (May 21, 2020): e17645. http://dx.doi.org/10.2196/17645.
Повний текст джерелаChoi, Junho. "Graph Embedding-Based Domain-Specific Knowledge Graph Expansion Using Research Literature Summary." Sustainability 14, no. 19 (September 27, 2022): 12299. http://dx.doi.org/10.3390/su141912299.
Повний текст джерелаDorodnykh, N. O., and A. Yu Yurin. "An approach for automated knowledge graph filling with entities based on table analysis." Ontology of Designing 12, no. 3 (September 27, 2022): 336–52. http://dx.doi.org/10.18287/2223-9537-2022-12-3-336-352.
Повний текст джерелаFerrari, Ilaria, Giacomo Frisoni, Paolo Italiani, Gianluca Moro, and Claudio Sartori. "Comprehensive Analysis of Knowledge Graph Embedding Techniques Benchmarked on Link Prediction." Electronics 11, no. 23 (November 23, 2022): 3866. http://dx.doi.org/10.3390/electronics11233866.
Повний текст джерелаKochsiek, Adrian, and Rainer Gemulla. "Parallel training of knowledge graph embedding models." Proceedings of the VLDB Endowment 15, no. 3 (November 2021): 633–45. http://dx.doi.org/10.14778/3494124.3494144.
Повний текст джерелаKim, Kuekyeng, Yuna Hur, Gyeongmin Kim, and Heuiseok Lim. "GREG: A Global Level Relation Extraction with Knowledge Graph Embedding." Applied Sciences 10, no. 3 (February 10, 2020): 1181. http://dx.doi.org/10.3390/app10031181.
Повний текст джерелаXiong, Wangping, Jun Cao, Xian Zhou, Jianqiang Du, Bin Nie, Zhijun Zeng, and 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 (July 16, 2021): 1–8. http://dx.doi.org/10.1155/2021/9970063.
Повний текст джерелаKim, Taejin, Yeoil Yun, and Namgyu Kim. "Deep Learning-Based Knowledge Graph Generation for COVID-19." Sustainability 13, no. 4 (February 19, 2021): 2276. http://dx.doi.org/10.3390/su13042276.
Повний текст джерелаLiao, Danlu. "Construction of Knowledge Graph English Online Homework Evaluation System Based on Multimodal Neural Network Feature Extraction." Computational Intelligence and Neuroscience 2022 (May 13, 2022): 1–12. http://dx.doi.org/10.1155/2022/7941414.
Повний текст джерелаYan, Jianzhuo, Tiantian Lv, and Yongchuan Yu. "Construction and Recommendation of a Water Affair Knowledge Graph." Sustainability 10, no. 10 (September 26, 2018): 3429. http://dx.doi.org/10.3390/su10103429.
Повний текст джерелаXu, Jiakang, Wolfgang Mayer, Hongyu Zhang, Keqing He, and Zaiwen Feng. "Automatic Semantic Modeling for Structural Data Source with the Prior Knowledge from Knowledge Base." Mathematics 10, no. 24 (December 15, 2022): 4778. http://dx.doi.org/10.3390/math10244778.
Повний текст джерелаXu, Guoyan, Qirui Zhang, Du Yu, Sijun Lu, and Yuwei Lu. "JKRL: Joint Knowledge Representation Learning of Text Description and Knowledge Graph." Symmetry 15, no. 5 (May 10, 2023): 1056. http://dx.doi.org/10.3390/sym15051056.
Повний текст джерелаWelivita, Anuradha, and Pearl Pu. "HEAL: A Knowledge Graph for Distress Management Conversations." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 10 (June 28, 2022): 11459–67. http://dx.doi.org/10.1609/aaai.v36i10.21398.
Повний текст джерелаAlam, Mehwish, Aldo Gangemi, Valentina Presutti, and Diego Reforgiato Recupero. "Semantic role labeling for knowledge graph extraction from text." Progress in Artificial Intelligence 10, no. 3 (April 5, 2021): 309–20. http://dx.doi.org/10.1007/s13748-021-00241-7.
Повний текст джерелаLuo, Zhiwei, Rong Xie, Wen Chen, and Zetao Ye. "Automatic domain terminology extraction and its evaluation for domain knowledge graph construction." Web Intelligence 16, no. 3 (September 11, 2018): 173–85. http://dx.doi.org/10.3233/web-180385.
Повний текст джерелаAhmad, Zishan, Asif Ekbal, Shubhashis Sengupta, and Pushpak Bhattacharyya. "Neural response generation for task completion using conversational knowledge graph." PLOS ONE 18, no. 2 (February 9, 2023): e0269856. http://dx.doi.org/10.1371/journal.pone.0269856.
Повний текст джерелаKazimianec, Michail, and Nikolaus Augsten. "Clustering with Proximity Graphs." International Journal of Knowledge-Based Organizations 3, no. 4 (October 2013): 84–104. http://dx.doi.org/10.4018/ijkbo.2013100105.
Повний текст джерелаYang, Yangrui, Yaping Zhu, and Pengpeng Jian. "Application of Knowledge Graph in Water Conservancy Education Resource Organization under the Background of Big Data." Electronics 11, no. 23 (November 26, 2022): 3913. http://dx.doi.org/10.3390/electronics11233913.
Повний текст джерелаLi, Zhi-Qing, Zi-Xuan Fu, Wen-Jun Li, Hao Fan, Shu-Nan Li, Xi-Mo Wang, and Peng Zhou. "Prediction of Diabetic Macular Edema Using Knowledge Graph." Diagnostics 13, no. 11 (May 26, 2023): 1858. http://dx.doi.org/10.3390/diagnostics13111858.
Повний текст джерелаHernández-Almazán, Jorge Arturo, Juan Diego Lumbreras-Vega, Arturo Amaya Amaya, and Rubén Machucho-Cadena. "Knowledge Graph to determine the domain of learning in Higher Education." Apertura 13, no. 1 (March 26, 2021): 118–33. http://dx.doi.org/10.32870/ap.v13n1.1937.
Повний текст джерелаLe, Tiep, Francesco Fabiano, Tran Son, and 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 (June 15, 2018): 161–70. http://dx.doi.org/10.1609/icaps.v28i1.13881.
Повний текст джерелаTauqeer, Amar, Anelia Kurteva, Tek Raj Chhetri, Albin Ahmeti, and Anna Fensel. "Automated GDPR Contract Compliance Verification Using Knowledge Graphs." Information 13, no. 10 (September 24, 2022): 447. http://dx.doi.org/10.3390/info13100447.
Повний текст джерелаHe, Qiang. "Human-computer interaction based on background knowledge and emotion certainty." PeerJ Computer Science 9 (May 31, 2023): e1418. http://dx.doi.org/10.7717/peerj-cs.1418.
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