图数据库 (Chinese Wikipedia)

Analysis of information sources in references of the Wikipedia article "图数据库" in Chinese language version.

refsWebsite

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21web.archive.org

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2doi.org

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2dbta.com

low place

2datanami.com

low place

2janusgraph.org

low place

1books.google.com

3^rd place

8^th place

1nih.gov

4^th place

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1worldcat.org

5^th place

12^th place

1psu.edu

207^th place

628^th place

1iitk.ac.in

6,454^th place

6,050^th place

1yale.edu

565^th place

664^th place

1kdnuggets.com

low place

1amazon.com

105^th place

269^th place

1cambridgesemantics.com

low place

1businesswire.com

615^th place

1,091^st place

1hugegraph.github.io

low place

1github.com

383^rd place

336^th place

1microsoft.com

153^rd place

238^th place

1neo4j.com

low place

1db-engines.com

low place

1openlinksw.com

low place

1emis.de

low place

1gigaom.com

3,829^th place

5,407^th place

amazon.com

docs.aws.amazon.com

Amazon Neptune Engine Updates 2018-09-06. AWS. [Sep 22, 2018]. （原始内容存档于2021-03-08）.

books.google.com

Nikolaos G. Bourbakis. Artificial Intelligence and Automation. World Scientific. 1998: 381 [2018-04-20]. ISBN 9789810226374. （原始内容存档于2023-11-09）.

businesswire.com

Rueter, John. Cambridge Semantics Announces AnzoGraph Graph-Based Analytics Support for Amazon Neptune and Graph Databases. Businesswire. February 15, 2018 [February 20, 2018]. （原始内容存档于2018-11-16）.

cambridgesemantics.com

In-Memory Massively Parallel Distributed Graph Database Purpose-built for Analytics. www.Cambridgesemantics.com. [2018-02-20]. （原始内容存档于2018-02-21）.

datanami.com

Woodie, Alex. Beyond Titan: The Evolution of DataStax's New Graph Database. Datanami. June 21, 2016 [May 9, 2017]. （原始内容存档于2019-09-13）.
Woodie, Alex. The Art of Analytics, Or What the Green-Haired People Can Teach Us. Datanami. October 23, 2015 [May 9, 2017]. （原始内容存档于2019-09-15）.

db-engines.com

Ranking of Graph DBMS. DB-Engines. [May 9, 2017]. （原始内容存档于2019-03-08）.

dbta.com

Zane, Barry. Semantic Graph Databases: A worthy successor to relational databases. www.dbta.com. November 2, 2016 [February 20, 2018]. （原始内容存档于2018-11-09）.
Cambridge Semantics Announces AnzoGraph Support for Amazon Neptune and Graph Databases. Database Trends and Applications. 2018-02-15 [2018-03-08]. （原始内容存档于2018-03-09）.

doi.org

Yoon, Byoung-Ha; Kim, Seon-Kyu; Kim, Seon-Young. Use of Graph Database for the Integration of Heterogeneous Biological Data. Genomics & Informatics. March 2017, 15 (1): 19–27. ISSN 1598-866X. PMC 5389944 . PMID 28416946. doi:10.5808/GI.2017.15.1.19.
Angles, Renzo; Gutierrez, Claudio. Survey of graph database models (PDF). ACM Computing Surveys. 1 Feb 2008, 40 (1): 1–39 [28 May 2016]. CiteSeerX 10.1.1.110.1072 . doi:10.1145/1322432.1322433. （原始内容 (PDF)存档于2017-08-15）. network models [...] lack a good abstraction level: it is difficult to separate the db-model from the actual implementation

emis.de

cs.emis.de

Rudolf, Michael; Paradies, Marcus; Bornhövd, Christof; Lehner, Wolfgang. The Graph Story of the SAP HANA Database (PDF). Lecture Notes in Informatics. [2019-03-18]. （原始内容存档 (PDF)于2017-04-05）.

gigaom.com

Vanian, Jonathan. NSA-linked Sqrrl eyes cyber security and lands $7M in funding. Gigaom. 18 February 2015 [May 9, 2017]. （原始内容存档于2019-03-09）.

github.com

JanusGraph version 0.6.1. 2022-01-18 [2022-01-18]. （原始内容存档于2022-01-23） –通过Github.

hugegraph.github.io

HugeGraph Database user documentation. GitHub. [March 20, 2020]. （原始内容存档于2019-12-13）.

iitk.ac.in

cse.iitk.ac.in

Angles, Renzo; Gutierrez, Claudio. Survey of graph database models (PDF). ACM Computing Surveys. 1 Feb 2008, 40 (1): 1–39 [28 May 2016]. CiteSeerX 10.1.1.110.1072 . doi:10.1145/1322432.1322433. （原始内容 (PDF)存档于2017-08-15）. network models [...] lack a good abstraction level: it is difficult to separate the db-model from the actual implementation

janusgraph.org

docs.janusgraph.org

JanusGraph storage backends. [2019-03-18]. （原始内容存档于2018-10-02）.
JanusGraph index storages. [2019-03-18]. （原始内容存档于2018-10-02）.

kdnuggets.com

Graph Databases Burst into the Mainstream. www.kdnuggets.com. [2018-10-23]. （原始内容存档于2018-11-13）.

microsoft.com

docs.microsoft.com

What's New in SQL Server 2017. Microsoft Docs. April 19, 2017 [May 9, 2017]. （原始内容存档于2017-08-21）.

neo4j.com

Release Notes: Neo4j 3.1.1. Neo4j. [May 9, 2017]. （原始内容存档于2018-11-16）.

nih.gov

ncbi.nlm.nih.gov

Yoon, Byoung-Ha; Kim, Seon-Kyu; Kim, Seon-Young. Use of Graph Database for the Integration of Heterogeneous Biological Data. Genomics & Informatics. March 2017, 15 (1): 19–27. ISSN 1598-866X. PMC 5389944 . PMID 28416946. doi:10.5808/GI.2017.15.1.19.

openlinksw.com

virtuoso.openlinksw.com

Clustering Deployment Architecture Diagrams for Virtuoso. Virtuoso Open-Source Wiki. OpenLink Software. [May 9, 2017]. （原始内容存档于2023-08-08）.

psu.edu

citeseerx.ist.psu.edu

Angles, Renzo; Gutierrez, Claudio. Survey of graph database models (PDF). ACM Computing Surveys. 1 Feb 2008, 40 (1): 1–39 [28 May 2016]. CiteSeerX 10.1.1.110.1072 . doi:10.1145/1322432.1322433. （原始内容 (PDF)存档于2017-08-15）. network models [...] lack a good abstraction level: it is difficult to separate the db-model from the actual implementation

web.archive.org

Nikolaos G. Bourbakis. Artificial Intelligence and Automation. World Scientific. 1998: 381 [2018-04-20]. ISBN 9789810226374. （原始内容存档于2023-11-09）.
Angles, Renzo; Gutierrez, Claudio. Survey of graph database models (PDF). ACM Computing Surveys. 1 Feb 2008, 40 (1): 1–39 [28 May 2016]. CiteSeerX 10.1.1.110.1072 . doi:10.1145/1322432.1322433. （原始内容 (PDF)存档于2017-08-15）. network models [...] lack a good abstraction level: it is difficult to separate the db-model from the actual implementation
Silberschatz, Avi. Database System Concepts, Sixth Edition (PDF). McGraw-Hill. 28 January 2010: D-29 [2019-03-08]. ISBN 978-0-07-352332-3. （原始内容 (PDF)存档于2018-08-26）.
Graph Databases Burst into the Mainstream. www.kdnuggets.com. [2018-10-23]. （原始内容存档于2018-11-13）.
Amazon Neptune Engine Updates 2018-09-06. AWS. [Sep 22, 2018]. （原始内容存档于2021-03-08）.
In-Memory Massively Parallel Distributed Graph Database Purpose-built for Analytics. www.Cambridgesemantics.com. [2018-02-20]. （原始内容存档于2018-02-21）.
Rueter, John. Cambridge Semantics Announces AnzoGraph Graph-Based Analytics Support for Amazon Neptune and Graph Databases. Businesswire. February 15, 2018 [February 20, 2018]. （原始内容存档于2018-11-16）.
Zane, Barry. Semantic Graph Databases: A worthy successor to relational databases. www.dbta.com. November 2, 2016 [February 20, 2018]. （原始内容存档于2018-11-09）.
Cambridge Semantics Announces AnzoGraph Support for Amazon Neptune and Graph Databases. Database Trends and Applications. 2018-02-15 [2018-03-08]. （原始内容存档于2018-03-09）.
Woodie, Alex. Beyond Titan: The Evolution of DataStax's New Graph Database. Datanami. June 21, 2016 [May 9, 2017]. （原始内容存档于2019-09-13）.
HugeGraph Database user documentation. GitHub. [March 20, 2020]. （原始内容存档于2019-12-13）.
JanusGraph version 0.6.1. 2022-01-18 [2022-01-18]. （原始内容存档于2022-01-23） –通过Github.
JanusGraph storage backends. [2019-03-18]. （原始内容存档于2018-10-02）.
JanusGraph index storages. [2019-03-18]. （原始内容存档于2018-10-02）.
What's New in SQL Server 2017. Microsoft Docs. April 19, 2017 [May 9, 2017]. （原始内容存档于2017-08-21）.
Release Notes: Neo4j 3.1.1. Neo4j. [May 9, 2017]. （原始内容存档于2018-11-16）.
Ranking of Graph DBMS. DB-Engines. [May 9, 2017]. （原始内容存档于2019-03-08）.
Clustering Deployment Architecture Diagrams for Virtuoso. Virtuoso Open-Source Wiki. OpenLink Software. [May 9, 2017]. （原始内容存档于2023-08-08）.
Rudolf, Michael; Paradies, Marcus; Bornhövd, Christof; Lehner, Wolfgang. The Graph Story of the SAP HANA Database (PDF). Lecture Notes in Informatics. [2019-03-18]. （原始内容存档 (PDF)于2017-04-05）.
Vanian, Jonathan. NSA-linked Sqrrl eyes cyber security and lands $7M in funding. Gigaom. 18 February 2015 [May 9, 2017]. （原始内容存档于2019-03-09）.
Woodie, Alex. The Art of Analytics, Or What the Green-Haired People Can Teach Us. Datanami. October 23, 2015 [May 9, 2017]. （原始内容存档于2019-09-15）.

worldcat.org

Yoon, Byoung-Ha; Kim, Seon-Kyu; Kim, Seon-Young. Use of Graph Database for the Integration of Heterogeneous Biological Data. Genomics & Informatics. March 2017, 15 (1): 19–27. ISSN 1598-866X. PMC 5389944 . PMID 28416946. doi:10.5808/GI.2017.15.1.19.

yale.edu

codex.cs.yale.edu

Silberschatz, Avi. Database System Concepts, Sixth Edition (PDF). McGraw-Hill. 28 January 2010: D-29 [2019-03-08]. ISBN 978-0-07-352332-3. （原始内容 (PDF)存档于2018-08-26）.