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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

Showing 125 of 431 papers

TitleStatusHype
EasySpider: A No-Code Visual System for Crawling the WebCode7
TableGPT2: A Large Multimodal Model with Tabular Data IntegrationCode4
Docs2KG: Unified Knowledge Graph Construction from Heterogeneous Documents Assisted by Large Language ModelsCode3
Intervention-Aware Forecasting: Breaking Historical Limits from a System PerspectiveCode3
An RML-FNML module for Python user-defined functions in Morph-KGCCode3
Exploring the Feasibility of Automated Data Standardization using Large Language Models for Seamless PositioningCode3
Declarative generation of RDF-star graphs from heterogeneous dataCode3
CARTE: Pretraining and Transfer for Tabular LearningCode2
Integrate Any Omics: Towards genome-wide data integration for patient stratificationCode2
Boosting Knowledge Graph Generation from Tabular Data with RML ViewsCode2
Graph Neural Networks for Multimodal Single-Cell Data IntegrationCode2
Morph-KGC: Scalable knowledge graph materialization with mapping partitionsCode2
Adaptive Multi-Scale Decomposition Framework for Time Series ForecastingCode2
scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell DataCode1
eipy: An Open-Source Python Package for Multi-modal Data Integration using Heterogeneous EnsemblesCode1
MSMA: Multi-agent Trajectory Prediction in Connected and Autonomous Vehicle Environment with Multi-source Data IntegrationCode1
Column Property Annotation using Large Language ModelsCode1
Entity Matching using Large Language ModelsCode1
A Variational Information Bottleneck Approach to Multi-Omics Data IntegrationCode1
BayReL: Bayesian Relational Learning for Multi-omics Data IntegrationCode1
AnyMatch -- Efficient Zero-Shot Entity Matching with a Small Language ModelCode1
Data Integration for Toxic Comment Classification: Making More Than 40 Datasets Easily Accessible in One Unified FormatCode1
Domain Adaptation for Deep Entity Resolution: A Design Space ExplorationCode1
Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and FairnessCode1
Column Type Annotation using ChatGPTCode1
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