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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 131–140 of 431 papers

TitleStatusHype
A Biomedical Knowledge Graph for Biomarker Discovery in Cancer—0
Enhancing Medical Learning and Reasoning Systems: A Boxology-Based Comparative Analysis of Design Patterns—0
Drug response prediction by inferring pathway-response associations with Kernelized Bayesian Matrix Factorization—0
Can Large Language Models Unveil the Mysteries? An Exploration of Their Ability to Unlock Information in Complex Scenarios—0
Business Entity Matching with Siamese Graph Convolutional Networks—0
A2CI: A Cloud-based, Service-oriented Geospatial Cyberinfrastructure to Support Atmospheric Research—0
A big data intelligence marketplace and secure analytics experimentation platform for the aviation industry—0
Brain Imaging Foundation Models, Are We There Yet? A Systematic Review of Foundation Models for Brain Imaging and Biomedical Research—0
VITAL: Interactive Few-Shot Imitation Learning via Visual Human-in-the-Loop Corrections—0
Biodiversity data standards for the organization and dissemination of complex research projects and digital twins: a guide—0
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