Difference between revisions of "2019YFE0198600"

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== 成果 ==
 
== 成果 ==
 
=== 论文 ===
 
=== 论文 ===
# OntoCSM:Ontology-Aware Characteristic Set Merging for RDF Type Discovery [https://link.springer.com/chapter/10.1007/978-3-030-73194-6_22]
+
# 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)
# vRaft: Accelerating the Distributed Consensus Under Virtualized Environments  
+
# 人大. vRaft: Accelerating the Distributed Consensus Under Virtualized Environments. DASFAA 2021 (CCF B)
# Optimal Subgraph Matching Queries over Distributed Knowledge Graphs Based on Partial Evaluation [https://link.springer.com/chapter/10.1007/978-3-030-90888-1_22]
+
# 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)
# OntoSP: Ontology-Based Semantic-Aware Partitioning on RDF Graphs [https://link.springer.com/chapter/10.1007/978-3-030-90888-1_21]
+
# 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)
# XTuning: Expert Database Tuning System Based on Reinforcement Learning [https://link.springer.com/chapter/10.1007/978-3-030-90888-1_8]
+
# 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)
# PAIRPQ: An Efficient Path Index for Regular Path Queries on Knowledge Graphs [https://link.springer.com/chapter/10.1007/978-3-030-85899-5_8]
+
# 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)
# Rethink the Linearizability Constraints of Raft for Distributed Key-Value Stores [https://ieeexplore.ieee.org/abstract/document/9458806]
+
# 人大. Rethink the Linearizability Constraints of Raft for Distributed Key-Value Stores. ICDE 2021 [https://ieeexplore.ieee.org/abstract/document/9458806](CCF A)
# UniKG:A Unified Interoperable Knowledge Graph Database System [https://ieeexplore.ieee.org/abstract/document/9458632]
+
# 天大. UniKG:A Unified Interoperable Knowledge Graph Database System. ICDE 2021 [https://ieeexplore.ieee.org/abstract/document/9458632](CCF A)
# Deep Attributed Network Representation Learning of Complex Coupling and Interaction [https://www.sciencedirect.com/science/article/pii/S0950705120307474]
+
# 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)
# WATuning: A Workload-Aware Tuning System with Attention-Based Deep Reinforcement Learning [https://link.springer.com/content/pdf/10.1007/s11390-021-1350-8.pdf]
+
# 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)
# 知识图谱划分算法研究综述 [http://cjc.ict.ac.cn/online/cre/wx-202049111757.pdf]
+
# 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)
# KGDB:统一模型和语言的知识图谱数据库管理系统 [https://www.ccf.org.cn/ccfdl/ccf_dl_focus/Computer_Research/volume5/zllb3/2022-04-15/760763.shtml]
+
# 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)
# 开放领域知识图谱问答研究综述 [http://fcst.ceaj.org/CN/10.3778/j.issn.1673-9418.2106095]
+
# 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)
# HET-KG:Communication-Efficient Knowledge Graph Embedding Training via Hotness-Aware Cache [https://ieeexplore.ieee.org/abstract/document/9835364]
+
# 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)
# R2B: High-Efficiency and Fair I/O Allocation for Multiple tenants with Differentiated Demands  
+
# 人大. R2B: High-Efficiency and Fair I/O Allocation for Multiple tenants with Differentiated Demands. DAC 2022 (nan)
# OntoCA: Ontology-Aware Caching for Distributed SPARQL Query  
+
# 天大. OntoCA: Ontology-Aware Caching for Distributed SPARQL Query. APWeb-WAIM 2022 (CCF C)
# LightGC  
+
# 人大. LightGC. MidddleWare 2022 (CCF B)
# KGVQL:A knowledge graph visual query language with bidirectional transformations [https://www.sciencedirect.com/science/article/pii/S0950705122004154]
+
# 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)
# Knowledge-enhanced attentive learning for answer selection in community question answering systems.pdf [https://www.sciencedirect.com/science/article/pii/S0950705122005512?casa_token=mzB9sYT8vVMAAAAA:vMr8EBQrrrExh5NWiSZKfeBbpBicof0TYjVOn3-l3FmCDWHAsFH9I14nFTWTJo-ziE9F80mOSa5f]
+
# 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)
# Locally weighted factorization machine with fuzzy partition for elderly readmission prediction [https://www.sciencedirect.com/science/article/pii/S0950705122001186?casa_token=QkB9N6u72PcAAAAA:sRvZd1kLy8elHutqQCn0Nzglfv5uKVxDqrKgVXYxd82NnvWyUNQTOHAEERyPCAoHffjblSUDY1ON]
+
# 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)
# Optimizing subgraph matching over distributed knowledge graphs using partial evaluation [https://link.springer.com/article/10.1007/s11280-022-01075-6]
+
# 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)
# FPIRPQ: Accelerating Regular Path Queries on Knowledge Graphs  
+
# 天大. FPIRPQ: Accelerating Regular Path Queries on Knowledge Graphs. WWWJ 2022 (SCI / CCF B)
# MacroTrend  
+
# 人大. MacroTrend. JCST 2022 (SCI / CCF B)
# DB4Trans:数据库内置知识图谱嵌入模型训练引擎  
+
# 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)
# 新一代知识图谱关键技术综述 [https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CAPJ&dbname=CAPJLAST&filename=JFYZ20220228000&uniplatform=NZKPT&v=SfE2u2pSsAhf08VDv2pM0iRxKFEzcCxDax50D8XzLgfHAK4BdmA9SHsJAsg6xEmI]
+
# 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)
# Mass Screening for Low Bone Density Using Basic Check-Up Items  
+
# 香港城大. Mass Screening for Low Bone Density Using Basic Check-Up Items. IEEE TCSS 2022 (SCI)
# Field-aware attentive neural factorization with fuzzy mutual information for company investment valuation  
+
# 香港城大. Field-aware attentive neural factorization with fuzzy mutual information for company investment valuation. Information Sciences 2022 (SCI)
# Auto-tuning; Database optimization; Correlation expert rules; reinforcement learning; Training time reduction
+
# 人大. Auto-tuning; Database optimization; Correlation expert rules; reinforcement learning; Training time reduction. BDR 2022 (SCI)
  
 
=== 专利 ===
 
=== 专利 ===

Revision as of 09:31, 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

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