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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 151–175 of 431 papers

TitleStatusHype
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
Multilayer network approaches to omics data integration in Digital Twins for cancer research—0
Empowering Cognitive Digital Twins with Generative Foundation Models: Developing a Low-Carbon Integrated Freight Transportation System—0
Assumption-Lean Post-Integrated Inference with Negative Control Outcomes—0
Deep learning-based Visual Measurement Extraction within an Adaptive Digital Twin Framework from Limited Data Using Transfer Learning—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
Beyond designer's knowledge: Generating materials design hypotheses via large language models—0
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
Cross-Species Data Integration for Enhanced Layer Segmentation in Kidney PathologyCode0
EraW-Net: Enhance-Refine-Align W-Net for Scene-Associated Driver Attention Estimation—0
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