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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 271–280 of 431 papers

TitleStatusHype
Geospatial Narratives and their Spatio-Temporal Dynamics: Commonsense Reasoning for High-level Analyses in Geographic Information Systems—0
Gesture Recognition in Robotic Surgery: a Review—0
Git4Voc: Git-based Versioning for Collaborative Vocabulary Development—0
Graph-based Retrieval Augmented Generation for Dynamic Few-shot Text Classification—0
Graph Neural Network approaches for single-cell data: A recent overview—0
Graph Neural Networks for Breast Cancer Data Integration—0
GridMind: A Multi-Agent NLP Framework for Unified, Cross-Modal NFL Data Insights—0
Hierarchical Cross-Modal Alignment for Open-Vocabulary 3D Object Detection—0
High-resolution rainfall-runoff modeling using graph neural network—0
HINO: a BFO-aligned ontology representing human molecular interactions and pathways—0
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