Information integration for graph databases

With increasing interest in querying and analyzing graph data from multiple sources, algorithms and tools to integrate different graphs become very important. Integration of graphs can take place at the schema and instance levels. While links among graph nodes pose additional challenges to graph inf...

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Main Authors: LIM, Ee Peng, SUN, Aixin, DATTA, Anwitaman, KUIYU, CHANG
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語言:English
出版: Institutional Knowledge at Singapore Management University 2010
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在線閱讀:https://ink.library.smu.edu.sg/sis_research/1340
https://ink.library.smu.edu.sg/context/sis_research/article/2339/viewcontent/Lim2010_Chapter_InformationIntegrationForGraph.pdf
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spelling sg-smu-ink.sis_research-23392018-06-20T06:08:53Z Information integration for graph databases LIM, Ee Peng SUN, Aixin DATTA, Anwitaman KUIYU, CHANG With increasing interest in querying and analyzing graph data from multiple sources, algorithms and tools to integrate different graphs become very important. Integration of graphs can take place at the schema and instance levels. While links among graph nodes pose additional challenges to graph information integration, they can also serve as useful features for matching nodes representing real-world entities. This chapter introduces a general framework to perform graph information integration. It then gives an overview of the state-of-the-art research and tools in graph information integration. 2010-01-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/1340 info:doi/10.1007/978-1-4419-6515-8_10 https://ink.library.smu.edu.sg/context/sis_research/article/2339/viewcontent/Lim2010_Chapter_InformationIntegrationForGraph.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Databases and Information Systems Numerical Analysis and Scientific Computing
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Databases and Information Systems
Numerical Analysis and Scientific Computing
spellingShingle Databases and Information Systems
Numerical Analysis and Scientific Computing
LIM, Ee Peng
SUN, Aixin
DATTA, Anwitaman
KUIYU, CHANG
Information integration for graph databases
description With increasing interest in querying and analyzing graph data from multiple sources, algorithms and tools to integrate different graphs become very important. Integration of graphs can take place at the schema and instance levels. While links among graph nodes pose additional challenges to graph information integration, they can also serve as useful features for matching nodes representing real-world entities. This chapter introduces a general framework to perform graph information integration. It then gives an overview of the state-of-the-art research and tools in graph information integration.
format text
author LIM, Ee Peng
SUN, Aixin
DATTA, Anwitaman
KUIYU, CHANG
author_facet LIM, Ee Peng
SUN, Aixin
DATTA, Anwitaman
KUIYU, CHANG
author_sort LIM, Ee Peng
title Information integration for graph databases
title_short Information integration for graph databases
title_full Information integration for graph databases
title_fullStr Information integration for graph databases
title_full_unstemmed Information integration for graph databases
title_sort information integration for graph databases
publisher Institutional Knowledge at Singapore Management University
publishDate 2010
url https://ink.library.smu.edu.sg/sis_research/1340
https://ink.library.smu.edu.sg/context/sis_research/article/2339/viewcontent/Lim2010_Chapter_InformationIntegrationForGraph.pdf
_version_ 1770570971809316864