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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 101–150 of 431 papers

TitleStatusHype
Ontology Population using LLMs—0
Neural decoding from stereotactic EEG: accounting for electrode variability across subjects—0
Capturing and Anticipating User Intents in Data Analytics via Knowledge Graphs—0
Matchmaker: Self-Improving Large Language Model Programs for Schema Matching—0
Novel Architecture for Distributed Travel Data Integration and Service Provision Using Microservices—0
Graph Integration for Diffusion-Based Manifold AlignmentCode0
Multimodal Quantum Natural Language Processing: A Novel Framework for using Quantum Methods to Analyse Real DataCode0
Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extraction—0
metasnf: Meta Clustering with Similarity Network Fusion in R—0
Development of CODO: A Comprehensive Tool for COVID-19 Data Representation, Analysis, and Visualization—0
The S2 Hierarchical Discrete Global Grid as a Nexus for Data Representation, Integration, and Querying Across Geospatial Knowledge Graphs—0
KcMF: A Knowledge-compliant Framework for Schema and Entity Matching with Fine-tuning-free LLMs—0
Unified Representation of Genomic and Biomedical Concepts through Multi-Task, Multi-Source Contrastive Learning—0
InstructBioMol: Advancing Biomolecule Understanding and Design Following Human Instructions—0
Empowering Cognitive Digital Twins with Generative Foundation Models: Developing a Low-Carbon Integrated Freight Transportation System—0
Multilayer network approaches to omics data integration in Digital Twins for cancer research—0
Deep learning-based Visual Measurement Extraction within an Adaptive Digital Twin Framework from Limited Data Using Transfer Learning—0
Assumption-Lean Post-Integrated Inference with Negative Control Outcomes—0
Comparative Analysis of Multi-Omics Integration Using Advanced Graph Neural Networks for Cancer ClassificationCode0
Nested Deep Learning Model Towards A Foundation Model for Brain Signal Data—0
Enhancing End Stage Renal Disease Outcome Prediction: A Multi-Sourced Data-Driven Approach—0
Evaluating Blocking Biases in Entity MatchingCode0
Design and Evaluation of a CDSS for Drug Allergy Management Using LLMs and Pharmaceutical Data Integration—0
Multi-omics data integration for early diagnosis of hepatocellular carcinoma (HCC) using machine learning—0
Fine-tuning Large Language Models for Entity MatchingCode1
Beyond designer's knowledge: Generating materials design hypotheses via large language models—0
AnyMatch -- Efficient Zero-Shot Entity Matching with a Small Language ModelCode1
Multi-faceted Neuroimaging Data Integration via Analysis of Subspaces—0
Prompt-Matcher: Leveraging Large Models to Reduce Uncertainty in Schema Matching Results—0
EUR-USD Exchange Rate Forecasting Based on Information Fusion with Large Language Models and Deep Learning Methods—0
Exploring the Feasibility of Automated Data Standardization using Large Language Models for Seamless PositioningCode3
Cross-Species Data Integration for Enhanced Layer Segmentation in Kidney PathologyCode0
Personalized graph feature-based multi-omics data integration for cancer subtype identification—0
EraW-Net: Enhance-Refine-Align W-Net for Scene-Associated Driver Attention Estimation—0
MMREC: LLM Based Multi-Modal Recommender System—0
Enhancing Medical Learning and Reasoning Systems: A Boxology-Based Comparative Analysis of Design Patterns—0
Conformal Trajectory Prediction with Multi-View Data Integration in Cooperative DrivingCode1
MSMA: Multi-agent Trajectory Prediction in Connected and Autonomous Vehicle Environment with Multi-source Data IntegrationCode1
VITAL: Interactive Few-Shot Imitation Learning via Visual Human-in-the-Loop Corrections—0
Intelligent Cross-Organizational Process Mining: A Survey and New Perspectives—0
AtomAgents: Alloy design and discovery through physics-aware multi-modal multi-agent artificial intelligence—0
Multi-Modal Dataset Creation for Federated Learning with DICOM Structured Reports—0
DALL-M: Context-Aware Clinical Data Augmentation with LLMsCode0
TCKAN:A Novel Integrated Network Model for Predicting Mortality Risk in Sepsis Patients—0
AI-driven multi-omics integration for multi-scale predictive modeling of causal genotype-environment-phenotype relationships—0
Leveraging Large Language Models for Integrated Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directions—0
Entropic Optimal Transport Eigenmaps for Nonlinear Alignment and Joint Embedding of High-Dimensional DatasetsCode0
LLM See, LLM Do: Guiding Data Generation to Target Non-Differentiable ObjectivesCode1
Multimodal Data Integration for Precision Oncology: Challenges and Future Directions—0
Optimal Transport for Latent Integration with An Application to Heterogeneous Neuronal Activity Data—0
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