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Data Integration

Data integration (also called information integration) is the process of consolidating data from a set of heterogeneous data sources into a single uniform data set (materialized integration) or view on the data (virtual integration). Data integration pipelines involve subtasks such as schema matching, table annotation, entity resolution, value normalization, data cleansing, and data fusion. Application domains of data integration include data warehousing, data lakes, and knowledge base consolidation. Surveys on Data integration:

Papers

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Showing 321–330 of 431 papers

TitleStatusHype
Making Table Understanding Work in Practice—0
Integrated community occupancy models: A framework to assess occurrence and biodiversity dynamics using multiple data sourcesCode0
Targeting Underrepresented Populations in Precision Medicine: A Federated Transfer Learning Approach—0
Towards a Generic Multimodal Architecture for Batch and Streaming Big Data Integration—0
Parallelisable Existential Rules: a Story of Pieces—0
Computer-Assisted Analysis of Biomedical Images—0
Modeling multi-scale data via a network of networks—0
Dynamical models for metabolomics data integration—0
Stratified Data Integration—0
Business Entity Matching with Siamese Graph Convolutional Networks—0
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