Difference between revisions of "2019YFE0198600"

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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)}}
 
{{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 ===
 +
# OntoCSM：Ontology-Aware Characteristic Set Merging for RDF Type Discovery [https://link.springer.com/chapter/10.1007/978-3-030-73194-6_22]
 +
# vRaft: Accelerating the Distributed Consensus Under Virtualized Environments
 +
# 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]
 +
# OntoSP: Ontology-Based Semantic-Aware Partitioning on RDF Graphs [https://link.springer.com/chapter/10.1007/978-3-030-90888-1_21]
 +
# XTuning: Expert Database Tuning System Based on Reinforcement Learning [https://link.springer.com/chapter/10.1007/978-3-030-90888-1_8]
 +
# 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]
 +
# Rethink the Linearizability Constraints of Raft for Distributed Key-Value Stores [https://ieeexplore.ieee.org/abstract/document/9458806]
 +
# UniKG：A Unified Interoperable Knowledge Graph Database System [https://ieeexplore.ieee.org/abstract/document/9458632]
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# Deep Attributed Network Representation Learning of Complex Coupling and Interaction [https://www.sciencedirect.com/science/article/pii/S0950705120307474]
 +
# 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]
 +
# 知识图谱划分算法研究综述
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# 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]
 +
# 开放领域知识图谱问答研究综述
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# HET-KG：Communication-Efficient Knowledge Graph Embedding Training via Hotness-Aware Cache [https://ieeexplore.ieee.org/abstract/document/9835364]
 +
# R2B: High-Efficiency and Fair I/O Allocation for Multiple tenants with Differentiated Demands
 +
# OntoCA: Ontology-Aware Caching for Distributed SPARQL Query
 +
# LightGC
 +
# KGVQL：A knowledge graph visual query language with bidirectional transformations [https://www.sciencedirect.com/science/article/pii/S0950705122004154]
 +
# 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]
 +
# Locally weighted factorization machine with fuzzy partition for elderly readmission prediction [https://www.sciencedirect.com/science/article/pii/S0950705122001186?casa_token=QkB9N6u72PcAAAAA:sRvZd1kLy8elHutqQCn0Nzglfv5uKVxDqrKgVXYxd82NnvWyUNQTOHAEERyPCAoHffjblSUDY1ON]
 +
# Optimizing subgraph matching over distributed knowledge graphs using partial evaluation [https://link.springer.com/article/10.1007/s11280-022-01075-6]
 +
# FPIRPQ: Accelerating Regular Path Queries on Knowledge Graphs
 +
# MacroTrend
 +
# DB4Trans：数据库内置知识图谱嵌入模型训练引擎
 +
# 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]
 +
# Mass Screening for Low Bone Density Using Basic Check-Up Items
 +
# Field-aware attentive neural factorization with fuzzy mutual information for company investment valuation
 +
# Auto-tuning; Database optimization; Correlation expert rules; reinforcement learning;
 +
Training time reduction
 +
 +
=== 专利 ===
 +
 +
=== 软著 ===
 +
 
== 技术 ==
 
== 技术 ==
−
=== 论文+专利+软著汇总 ===
+
 
 +
 
 
=== 技术指标 ===
 
=== 技术指标 ===
 
形成技术报告
 
形成技术报告

Revision as of 08:39, 5 November 2022

成果

论文

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

Training time reduction

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

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