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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
Easy Semantification of Bioassays—0
Bi-Encoders based Species Normalization -- Pairwise Sentence Learning to Rank—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
Analytical Engines With Context-Rich Processing: Towards Efficient Next-Generation Analytics—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
Empowering Digital Agriculture: A Privacy-Preserving Framework for Data Sharing and Collaborative Research—0
Enhancing Bagging Ensemble Regression with Data Integration for Time Series-Based Diabetes Prediction—0
Address-Specific Sustainable Accommodation Choice Through Real-World Data Integration—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
Federated Learning: A new frontier in the exploration of multi-institutional medical imaging data—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
Disambiguate Entity Matching using Large Language Models through Relation Discovery—0
DINGO: an ontology for projects and grants linked data—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
Diffusion Transport Alignment—0
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