Difference between revisions of "2019YFE0198600"

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{{DISPLAYTITLE:科研项目}}
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{{DISPLAYTITLE:分布式知识图谱数据管理关键技术与系统 (国家重点研发计划项目)}}
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== 成果 ==
 +
=== 论文 ===
 +
# 天大. OntoCSM：Ontology-Aware Characteristic Set Merging for RDF Type Discovery. DASFAA 2021 [https://link.springer.com/chapter/10.1007/978-3-030-73194-6_22](CCF B)
 +
# 人大. vRaft: Accelerating the Distributed Consensus Under Virtualized Environments. DASFAA 2021 (CCF B)
 +
# 天大. Optimal Subgraph Matching Queries over Distributed Knowledge Graphs Based on Partial Evaluation. WISE 2021 [https://link.springer.com/chapter/10.1007/978-3-030-90888-1_22](CCF C)
 +
# 天大. OntoSP: Ontology-Based Semantic-Aware Partitioning on RDF Graphs. WISE 2021 [https://link.springer.com/chapter/10.1007/978-3-030-90888-1_21](CCF C)
 +
# 人大. XTuning: Expert Database Tuning System Based on Reinforcement Learning. WISE 2021 [https://link.springer.com/chapter/10.1007/978-3-030-90888-1_8](CCF C)
 +
# 天大. PAIRPQ: An Efficient Path Index for Regular Path Queries on Knowledge Graphs . APWeb-WAIM 2021 [https://link.springer.com/chapter/10.1007/978-3-030-85899-5_8](CCF C)
 +
# 人大. Rethink the Linearizability Constraints of Raft for Distributed Key-Value Stores. ICDE 2021 [https://ieeexplore.ieee.org/abstract/document/9458806](CCF A)
 +
# 天大. UniKG：A Unified Interoperable Knowledge Graph Database System. ICDE 2021 [https://ieeexplore.ieee.org/abstract/document/9458632](CCF A)
 +
# 天大. Deep Attributed Network Representation Learning of Complex Coupling and Interaction. KBS 2021 [https://www.sciencedirect.com/science/article/pii/S0950705120307474](SCI 1区)
 +
# 人大. WATuning: A Workload-Aware Tuning System with Attention-Based Deep Reinforcement Learning. JCST 2021 [https://link.springer.com/content/pdf/10.1007/s11390-021-1350-8.pdf](SCI 3区 / CCF)
 +
# 天大. 知识图谱划分算法研究综述. 计算机学报 2021 [http://cjc.ict.ac.cn/online/cre/wx-202049111757.pdf](CCF A 中文)
 +
# 天大. KGDB：统一模型和语言的知识图谱数据库管理系统. 软件学报 2021 [https://www.ccf.org.cn/ccfdl/ccf_dl_focus/Computer_Research/volume5/zllb3/2022-04-15/760763.shtml](CCF A 中文)
 +
# 天大. 开放领域知识图谱问答研究综述. 计算机科学与探索 2021 [http://fcst.ceaj.org/CN/10.3778/j.issn.1673-9418.2106095](CCF B 中文)
 +
# 天大. HET-KG：Communication-Efficient Knowledge Graph Embedding Training via Hotness-Aware Cache. ICDE 2022 [https://ieeexplore.ieee.org/abstract/document/9835364](CCF A)
 +
# 人大. R2B: High-Efficiency and Fair I/O Allocation for Multiple tenants with Differentiated Demands. DAC 2022 (nan)
 +
# 天大. OntoCA: Ontology-Aware Caching for Distributed SPARQL Query. APWeb-WAIM 2022 (CCF C)
 +
# 人大. LightGC. MidddleWare 2022 (CCF B)
 +
# 天大. KGVQL：A knowledge graph visual query language with bidirectional transformations. KBS 2022 [https://www.sciencedirect.com/science/article/pii/S0950705122004154](SCI 1区)
 +
# 香港城大. Knowledge-enhanced attentive learning for answer selection in community question answering systems.pdf. KBS 2022 [https://www.sciencedirect.com/science/article/pii/S0950705122005512?casa_token=mzB9sYT8vVMAAAAA:vMr8EBQrrrExh5NWiSZKfeBbpBicof0TYjVOn3-l3FmCDWHAsFH9I14nFTWTJo-ziE9F80mOSa5f](SCI 1区)
 +
# 香港城大. Locally weighted factorization machine with fuzzy partition for elderly readmission prediction. KBS 2022 [https://www.sciencedirect.com/science/article/pii/S0950705122001186?casa_token=QkB9N6u72PcAAAAA:sRvZd1kLy8elHutqQCn0Nzglfv5uKVxDqrKgVXYxd82NnvWyUNQTOHAEERyPCAoHffjblSUDY1ON](SCI 1区)
 +
# 天大. Optimizing subgraph matching over distributed knowledge graphs using partial evaluation. WWWJ 2022 [https://link.springer.com/article/10.1007/s11280-022-01075-6](SCI / CCF B)
 +
# 天大. FPIRPQ: Accelerating Regular Path Queries on Knowledge Graphs. WWWJ 2022 (SCI / CCF B)
 +
# 人大. MacroTrend. JCST 2022 (SCI / CCF B)
 +
# 天大. DB4Trans：数据库内置知识图谱嵌入模型训练引擎. 计算机学报 2022 (CCF A 中文)
 +
# 天大. 新一代知识图谱关键技术综述. 计算机研究与发展 2022 [https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CAPJ&dbname=CAPJLAST&filename=JFYZ20220228000&uniplatform=NZKPT&v=SfE2u2pSsAhf08VDv2pM0iRxKFEzcCxDax50D8XzLgfHAK4BdmA9SHsJAsg6xEmI](CCF A 中文)
 +
# 香港城大. Mass Screening for Low Bone Density Using Basic Check-Up Items. IEEE TCSS 2022 (SCI)
 +
# 香港城大. Field-aware attentive neural factorization with fuzzy mutual information for company investment valuation. Information Sciences 2022 (SCI)
 +
# 人大. Auto-tuning; Database optimization; Correlation expert rules; reinforcement learning; Training time reduction. BDR 2022 (SCI)
 +
 
 +
=== 专利 ===
 +
# 基于分布式键值库的大规模知识图谱存储方案, 2021, 受理, 天大
 +
# 基于关键嵌入的知识图谱表示学习框架优化方法, 2021, 受理, 天大
 +
# 双曲空间中区分数据类型的知识图谱表示学习方法, 2021, 受理, 天大
 +
# 一种用于知识超图的可解释性链接预测方法, 2021, 受理, 天大
 +
 
 +
=== 软著 ===
 +
 
 +
== 技术 ==
 +
 
 +
 
 +
=== 技术指标 ===
 +
形成技术报告
 +
 
 +
=== 测试 ===
 +
第三方测试报告
 +
 
 +
=== 数据汇交 ===
 +
通过数据汇交网站，打电话问清楚我们这样的项目需要交什么
 +
 
 +
== 财务 ==
 +
需要形成财务报告
 +
=== 专家评定 ===
 +
=== 测试 ===
 +
测试费用任务书中是2万元
 +
=== 审计 ===
 +
建议找北京审计事务所，审计费用占项目总经费5‰，约合1.07万元

Latest revision as of 09:33, 5 November 2022

成果

论文

  1. 天大. OntoCSM：Ontology-Aware Characteristic Set Merging for RDF Type Discovery. DASFAA 2021 [1](CCF B)
  2. 人大. vRaft: Accelerating the Distributed Consensus Under Virtualized Environments. DASFAA 2021 (CCF B)
  3. 天大. Optimal Subgraph Matching Queries over Distributed Knowledge Graphs Based on Partial Evaluation. WISE 2021 [2](CCF C)
  4. 天大. OntoSP: Ontology-Based Semantic-Aware Partitioning on RDF Graphs. WISE 2021 [3](CCF C)
  5. 人大. XTuning: Expert Database Tuning System Based on Reinforcement Learning. WISE 2021 [4](CCF C)
  6. 天大. PAIRPQ: An Efficient Path Index for Regular Path Queries on Knowledge Graphs . APWeb-WAIM 2021 [5](CCF C)
  7. 人大. Rethink the Linearizability Constraints of Raft for Distributed Key-Value Stores. ICDE 2021 [6](CCF A)
  8. 天大. UniKG：A Unified Interoperable Knowledge Graph Database System. ICDE 2021 [7](CCF A)
  9. 天大. Deep Attributed Network Representation Learning of Complex Coupling and Interaction. KBS 2021 [8](SCI 1区)
  10. 人大. WATuning: A Workload-Aware Tuning System with Attention-Based Deep Reinforcement Learning. JCST 2021 [9](SCI 3区 / CCF)
  11. 天大. 知识图谱划分算法研究综述. 计算机学报 2021 [10](CCF A 中文)
  12. 天大. KGDB：统一模型和语言的知识图谱数据库管理系统. 软件学报 2021 [11](CCF A 中文)
  13. 天大. 开放领域知识图谱问答研究综述. 计算机科学与探索 2021 [12](CCF B 中文)
  14. 天大. HET-KG：Communication-Efficient Knowledge Graph Embedding Training via Hotness-Aware Cache. ICDE 2022 [13](CCF A)
  15. 人大. R2B: High-Efficiency and Fair I/O Allocation for Multiple tenants with Differentiated Demands. DAC 2022 (nan)
  16. 天大. OntoCA: Ontology-Aware Caching for Distributed SPARQL Query. APWeb-WAIM 2022 (CCF C)
  17. 人大. LightGC. MidddleWare 2022 (CCF B)
  18. 天大. KGVQL：A knowledge graph visual query language with bidirectional transformations. KBS 2022 [14](SCI 1区)
  19. 香港城大. Knowledge-enhanced attentive learning for answer selection in community question answering systems.pdf. KBS 2022 [15](SCI 1区)
  20. 香港城大. Locally weighted factorization machine with fuzzy partition for elderly readmission prediction. KBS 2022 [16](SCI 1区)
  21. 天大. Optimizing subgraph matching over distributed knowledge graphs using partial evaluation. WWWJ 2022 [17](SCI / CCF B)
  22. 天大. FPIRPQ: Accelerating Regular Path Queries on Knowledge Graphs. WWWJ 2022 (SCI / CCF B)
  23. 人大. MacroTrend. JCST 2022 (SCI / CCF B)
  24. 天大. DB4Trans：数据库内置知识图谱嵌入模型训练引擎. 计算机学报 2022 (CCF A 中文)
  25. 天大. 新一代知识图谱关键技术综述. 计算机研究与发展 2022 [18](CCF A 中文)
  26. 香港城大. Mass Screening for Low Bone Density Using Basic Check-Up Items. IEEE TCSS 2022 (SCI)
  27. 香港城大. Field-aware attentive neural factorization with fuzzy mutual information for company investment valuation. Information Sciences 2022 (SCI)
  28. 人大. Auto-tuning; Database optimization; Correlation expert rules; reinforcement learning; Training time reduction. BDR 2022 (SCI)

专利

  1. 基于分布式键值库的大规模知识图谱存储方案, 2021, 受理, 天大
  2. 基于关键嵌入的知识图谱表示学习框架优化方法, 2021, 受理, 天大
  3. 双曲空间中区分数据类型的知识图谱表示学习方法, 2021, 受理, 天大
  4. 一种用于知识超图的可解释性链接预测方法, 2021, 受理, 天大

软著

技术

技术指标

形成技术报告

测试

第三方测试报告

数据汇交

通过数据汇交网站，打电话问清楚我们这样的项目需要交什么

财务

需要形成财务报告

专家评定

测试

测试费用任务书中是2万元

审计

建议找北京审计事务所，审计费用占项目总经费5‰，约合1.07万元

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