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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 151–200 of 431 papers

TitleStatusHype
Driving Digital Engineering Integration and Interoperability Through Semantic Integration of Models with Ontologies—0
DREIFLUSS: A Minimalist Approach for Table Matching—0
Efficient Joinable Table Discovery in Data Lakes: A High-Dimensional Similarity-Based Approach—0
A big data intelligence marketplace and secure analytics experimentation platform for the aviation industry—0
BIM-to-BRICK: Using graph modeling for IoT/BMS and spatial semantic data interoperability within digital data models of buildings—0
Business Entity Matching with Siamese Graph Convolutional Networks—0
Embedding-based Multimodal Learning on Pan-Squamous Cell Carcinomas for Improved Survival Outcomes—0
Empowering Cognitive Digital Twins with Generative Foundation Models: Developing a Low-Carbon Integrated Freight Transportation System—0
Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extraction—0
Enhancing Bagging Ensemble Regression with Data Integration for Time Series-Based Diabetes Prediction—0
Bi-Encoders based Species Normalization -- Pairwise Sentence Learning to Rank—0
Enhancing Function-Calling Capabilities in LLMs: Strategies for Prompt Formats, Data Integration, and Multilingual Translation—0
An Ontology for Defect Detection in Metal Additive Manufacturing—0
Enhancing streamflow forecast and extracting insights using long-short term memory networks with data integration at continental scales—0
Analytical Engines With Context-Rich Processing: Towards Efficient Next-Generation Analytics—0
CDE-Mapper: Using Retrieval-Augmented Language Models for Linking Clinical Data Elements to Controlled Vocabularies—0
EquiNMF: Graph Regularized Multiview Nonnegative Matrix Factorization—0
EraW-Net: Enhance-Refine-Align W-Net for Scene-Associated Driver Attention Estimation—0
EUR-USD Exchange Rate Forecasting Based on Information Fusion with Large Language Models and Deep Learning Methods—0
Clinical Trials Ontology Engineering with Large Language Models—0
Address-Specific Sustainable Accommodation Choice Through Real-World Data Integration—0
Cluster Quilting: Spectral Clustering for Patchwork Learning—0
Exploring Artificial Intelligence Methods for Energy Prediction in Healthcare Facilities: An In-Depth Extended Systematic Review—0
Exploring LLM Agents for Cleaning Tabular Machine Learning Datasets—0
GridMind: A Multi-Agent NLP Framework for Unified, Cross-Modal NFL Data Insights—0
Disambiguate Entity Matching using Large Language Models through Relation Discovery—0
DINGO: an ontology for projects and grants linked data—0
Fast Record Linkage for Company Entities—0
Feature Selection for Data Integration with Mixed Multi-view Data—0
Federated Learning: A new frontier in the exploration of multi-institutional medical imaging data—0
Federated Learning for Coronary Artery Plaque Detection in Atherosclerosis Using IVUS Imaging: A Multi-Hospital Collaboration—0
Application of Artificial Intelligence in Schizophrenia Rehabilitation Management: A Systematic Scoping Review—0
Federated Learning over Harmonized Data Silos—0
Federated Multi-View Learning for Private Medical Data Integration and Analysis—0
Diffusion Transport Alignment—0
Deep Learning and NLP in Cryptocurrency Forecasting: Integrating Financial, Blockchain, and Social Media Data—0
From Automation to Autonomy in Smart Manufacturing: A Bayesian Optimization Framework for Modeling Multi-Objective Experimentation and Sequential Decision Making—0
A Pseudo-Likelihood Approach to Linear Regression with Partially Shuffled Data—0
Beyond designer's knowledge: Generating materials design hypotheses via large language models—0
Functional Integrative Bayesian Analysis of High-dimensional Multiplatform Genomic Data—0
Analyses and Concerns in Precision Medicine: A Statistical Perspective—0
Diagnostic data integration using deep neural networks for real-time plasma analysis—0
GAME: Generalized deep learning model towards multimodal data integration for early screening of adolescent mental disorders—0
Conditionally Invariant Representation Learning for Disentangling Cellular Heterogeneity—0
Context-Aware Analytics in MOM Applications—0
A robust kernel machine regression towards biomarker selection in multi-omics datasets of osteoporosis for drug discovery—0
GeoFault: A well-founded fault ontology for interoperability in geological modeling—0
Geospatial Narratives and their Spatio-Temporal Dynamics: Commonsense Reasoning for High-level Analyses in Geographic Information Systems—0
Gesture Recognition in Robotic Surgery: a Review—0
Development of Semantics-Based Distributed Middleware for Heterogeneous Data Integration and its Application for Drought—0
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