姓名：王昌龙

职称：副教授

【个人简历】

  王昌龙，男，布依族，贵州省黔西南州安龙县人；毕业于天津大学计算机科学与技术学院，工学博士；副教授，硕士研究生导师。

【电子邮件】wchlong@nwnu.edu.cn

【研究兴趣】

知识表示与推理、知识图谱、智能软件工程

【教学情况】

本科课程：面向对象程序设计，移动应用开发，自然语言处理

研究生课程：软件开发方法

【部分科研工作】

主持项目：

1.西北师范大学科研提升计划项目，本体驱动的大数据访问模型及关键技术研究(NWNU-LKQN-17-16), 2018.01.01–2020.12.31

2.国家自然基金项目,面向终端用户的本体介导式数据访问模型及关键技术研究(62362060),2024.01.01-2027.12.31

科研论文：

[1] Wang, Changlong, Zhiyong Feng. A Novel Combination of Reasoners for Ontology Classification. In Proc. of the International Conference on Tools with Artificial Intelligence (ICTAI), 2013.

[2] 王昌龙, 冯志勇, 王鑫, 等. 混合的本体原子分解方法[J]. 计算机工程与应用,2015, 51(16).

[3] Changlong Wang, Zhiyong Feng, Guozheng Rao, Xin Wang, Xiaowang Zhang.From datalog reasoning to modular structure of an ontology. 14th International Semantic Web Conference (ISWC 2015), Bethlehem, PA, USA, 2015.

[4] Changlong Wang, Zhiyong Feng, Xiaowang Zhang, Xin Wang, Guozheng Rao,Daoxun Fu. ComR: A combined OWL reasoner for ontology classification. Frontiers of Computer Science，2019.

[5] Changlong Wang, Zhiyong Feng, Guozheng Rao, Xin Wang, Xiaowang Zhang.Updating direct graph for incremental reasoning in OWL 2 QL ontology. 14^th International Semantic Web Conference (ISWC 2015), Bethlehem, PA, USA, 2015.

[6] Changlong Wang, Xiaowang Zhang, Zhiyong Feng. Structure-guiding Modular Reasoning for Expressive Ontologies. 15th International Semantic Web Conference (ISWC 2016), Japan, 2016.

[7] Changlong Wang, Xiaowang Zhang, Zhiyong Feng and Hongwu Qin. A Graph-based Approach to Incremental Classification in OWL 2 QL Ontology, China Conference on Knowledge Graph and Semantic Computing, CCKS 2017, Chengdu,China.

[8]Changlong Wang, Zhilong Ren, Siyun Bi, Rong Zhang, Qibin Fu,Zhichang Zhang. CWTs: A Public Large-Scale Chinese Web Table Data Set [C]. Journal of Physics: Conference Series, 2021, 2010(1): 012048.

[9] Rong Zhang, Changlong Wang, Siyun Bi, Qibin Fu, Xingyu Li,, Tingting Gan. Knowledge Graph Construction from Tables in Chinese Electric Power PDF Documents[C],Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things. 2023: 525-530

[10] Changlong Wang, Siyun Bi, Rong Zhang, Qinbin Fu, Tingting Gan, Zhichang Zhang. A Modular Reasoning Approach to Knowledge Graph[C]. 15th International Conference on Advanced Computer Theory and Engineering (ICACTE). IEEE, 2022: 73-77.

[11] Changlong Wang, Xingyu Li, Tingting Gan, LingHan Zhang, Yuan Gao, XiuJuan Sang. Hyper-Relational Knowledge Graph Embedding Based on Type Constraints[C]. 16th International Conference on Advanced Computer Theory and Engineering (ICACTE). IEEE, 2023: 54-58.

[12] Changlong Wang, LingHan Zhang, Xingyu Li, Tingting Gan. A Knowledge Graph Embedding Model Based on Inception Structure with Channel Attention[C]. 2023 16th International Conference on Advanced Computer Theory and Engineering (ICACTE). IEEE, 2023: 1-5.

[13] Changlong Wang, Tingting Gan, Xingyu Li, Linghan Zhang, and Xijie Wang. Optimize knowledge graph embedding with Ontology Symmetric Information. 12th International Conference on Computing and Pattern Recognition(ICCPR 2023), October 27–29, 2023, Qingdao, China.