Information integration for graph databases

• Main Authors: LIM, Ee Peng, SUN, Aixin, DATTA, Anwitaman, KUIYU, CHANG
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2010
• Subjects: Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: 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
• Institution: Singapore Management University

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.