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饶国政
- 教师拼音名称：Rao Guozheng
- 出生日期：1977-12-07
- 性别：男
- 职称：副教授
- 所属院系：智能与计算学部
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· [15] Guozheng Rao, Zhiyong Feng, Biao Jia, A Method for Multi Semantic Web Rules Management,International Journal of Digital Content Technology and its Applications, 2011. 5(6):282-289.
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· [14] Guozheng Rao, Zhiyong Feng, Xin Wang, and Ruiguang Liu, A Distributed Ontology Repository Management Approach Based on Semantic Wiki,Communications in Computer and Information Science, 2013. 332():648-657.
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· [13] Wenrui Wu, Zhiyong Feng, Xiaowang Zhang, Xin Wang, Guozheng Rao, PROSE: A plugin-based paraconsistent OWL reasoner, 5th Joint International Semantic Technology Conference, ISWC2015, 2015/10/11.
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· [12] Changlong Wang, Zhiyong Feng, Guozheng Rao, Xin W, Updating direct graph for incremental reasoning in OWL 2 QL ontology, The 14th International Semantic Web Conference ISWC2015， 2015/10/11.
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· [11] Changlong Wang, Zhiyong Feng, Guozheng Rao, Xin W, From Datalog reasoning to modular structure of an ontology, The 14th International Semantic Web Conference ISWC2015, 2015/10/11.
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· [10] Xiaowang Zhang, Zhiyong Feng, Xin Wang and Guozheng Rao.Context-free path queries on RDF graphs.arXiv:1506.00743, 2015.
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· [9] Shuo Jiang, Zhiyong Feng, Xiaowang Zhang, Xin Wang, and Guozheng Rao. A multi-dimension weighted graph-based path planning with avoiding hotspots 4th China Conference on Knowledge Graph and Semantic Computing (CCKS 2016), Beijing, China, CCIS 650, pp.15-26, 2016
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· [8] Zhihui Liu, Zhiyong Feng, Xiaowang Zhang, Xin Wang, and Guozheng Rao. RORS: Enhanced rule-based OWL reasoning on Spark 18th Asia Pacific Web Conference (APWeb 2016), Suzhou, China, LNCS 9932, pp.444-448, 2016
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· [7] Zhenyu Song, Zhiyong Feng, Xiaowang Zhang, Xin Wang, and Guozheng Rao. Efficient approximation of well-designed SPARQL queries 1st International Workshop on Semi-structured Big Data Management and Applications at WAIM 2016, Jiangxi, China, LNCS 9998, pp.315-327, 2016
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· [6] Xingwang Han, Zhiyong Feng, Xiaowang Zhang, Xin Wang, Guozheng Rao, and Shuo Jiang. On the statistical analysis of practical SPARQL queries 19th International Workshop on the Web and Databases (WebDB 2016), San Francisco, CA, USA, article 2, 2016
