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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 21–30 of 431 papers

TitleStatusHype
Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and FairnessCode1
Column Type Annotation using ChatGPTCode1
Cost-Effective In-Context Learning for Entity Resolution: A Design Space ExplorationCode1
Column Property Annotation using Large Language ModelsCode1
Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical TextCode1
Dual-Objective Fine-Tuning of BERT for Entity MatchingCode1
A Variational Information Bottleneck Approach to Multi-Omics Data IntegrationCode1
AnyMatch -- Efficient Zero-Shot Entity Matching with a Small Language ModelCode1
Fine-tuning Large Language Models for Entity MatchingCode1
BayReL: Bayesian Relational Learning for Multi-omics Data IntegrationCode1
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