2019YFE0198600 - Revision history

2021244229: /* 专利 */

2022-11-05T09:33:28Z

‎专利

2021244229 at 09:31, 5 November 2022

2022-11-05T09:31:43Z

2021244229 at 08:40, 5 November 2022

2022-11-05T08:40:52Z

2021244229 at 08:39, 5 November 2022

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2021244137: /* 财务 */

2022-11-05T04:57:17Z

‎财务

2021244137: /* 财务 */

2022-11-05T04:57:02Z

‎财务

2021244137: /* 审计 */

2022-11-05T04:56:33Z

‎审计

2021244137: /* 数据汇交 */

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‎数据汇交

2021244137: /* 测试 */

2022-11-05T04:55:16Z

‎测试

2021244137: /* 技术指标 */

2022-11-05T04:54:52Z

‎技术指标

← Older revision		Revision as of 09:33, 5 November 2022
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	=== 专利 ===		=== 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 ===		=== 软著 ===

@@ Line 2: / Line 2: @@
 == 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]
+# 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 ===

@@ Line 12: / Line 12: @@
 # 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
+# 知识图谱划分算法研究综述 [http://cjc.ict.ac.cn/online/cre/wx-202049111757.pdf]
 # 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
+# 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]
 # 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
@@ Line 29: / Line 29: @@
 # 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;
+# Auto-tuning; Database optimization; Correlation expert rules; reinforcement learning; Training time reduction
 === 专利 ===

@@ Line 1: / Line 1: @@
 {{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)}}
 == 技术 ==
-=== 论文+专利+软著汇总 ===
 === 技术指标 ===
 形成技术报告

@@ Line 12: / Line 12: @@
 == 财务 ==
-形成财务报告
+需要形成财务报告
 === 专家评定 ===
 === 测试 ===

@@ Line 16: / Line 16: @@
 测试费用任务书中是2万元
 === 审计 ===
-建议找北京公司，审计费用占项目总经费5‰，约合1.07万元
+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

← Older revision		Revision as of 04:56, 5 November 2022
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	=== 数据汇交 ===		=== 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 ==		== 财务 ==

← Older revision		Revision as of 04:55, 5 November 2022
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	=== 测试 ===		=== 测试 ===
		+	第三方测试报告
		+
	=== 数据汇交 ===		=== 数据汇交 ===