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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 26–50 of 431 papers

TitleStatusHype
Dual-Objective Fine-Tuning of BERT for Entity MatchingCode1
scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell DataCode1
eipy: An Open-Source Python Package for Multi-modal Data Integration using Heterogeneous EnsemblesCode1
Towards Unified Molecule-Enhanced Pathology Image Representation Learning via Integrating Spatial TranscriptomicsCode1
Transformer-based Entity Legal Form ClassificationCode1
LLM See, LLM Do: Guiding Data Generation to Target Non-Differentiable ObjectivesCode1
KramaBench: A Benchmark for AI Systems on Data-to-Insight Pipelines over Data LakesCode1
COMO: A Pipeline for Multi-Omics Data Integration in Metabolic Modeling and Drug DiscoveryCode1
RecKG: Knowledge Graph for Recommender SystemsCode1
iMD4GC: Incomplete Multimodal Data Integration to Advance Precise Treatment Response Prediction and Survival Analysis for Gastric CancerCode1
GripNet: Graph Information Propagation on Supergraph for Heterogeneous GraphsCode1
BayReL: Bayesian Relational Learning for Multi-omics Data IntegrationCode1
Is your data alignable? Principled and interpretable alignability testing and integration of single-cell dataCode1
A Variational Information Bottleneck Approach to Multi-Omics Data IntegrationCode1
Column Property Annotation using Large Language ModelsCode1
Column Type Annotation using ChatGPTCode1
FusDreamer: Label-efficient Remote Sensing World Model for Multimodal Data ClassificationCode1
AnyMatch -- Efficient Zero-Shot Entity Matching with a Small Language ModelCode1
Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and FairnessCode1
Conformal Trajectory Prediction with Multi-View Data Integration in Cooperative DrivingCode1
Cost-Effective In-Context Learning for Entity Resolution: A Design Space ExplorationCode1
Fine-tuning Large Language Models for Entity MatchingCode1
Know2BIO: A Comprehensive Dual-View Benchmark for Evolving Biomedical Knowledge GraphsCode1
Sudowoodo: Contrastive Self-supervised Learning for Multi-purpose Data Integration and PreparationCode1
WDC Products: A Multi-Dimensional Entity Matching BenchmarkCode1
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