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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
Multi-object Data Integration in the Study of Primary Progressive Aphasia—0
Moment-based parameter inference with error guarantees for stochastic reaction networksCode0
Data Issues in Industrial AI System: A Meta-Review and Research Strategy—0
Cluster Quilting: Spectral Clustering for Patchwork Learning—0
IoT-Based Preventive Mental Health Using Knowledge Graphs and Standards for Better Well-Being—0
WeatherQA: Can Multimodal Language Models Reason about Severe Weather?Code1
A Survey of Pipeline Tools for Data EngineeringCode0
Embedding-based Multimodal Learning on Pan-Squamous Cell Carcinomas for Improved Survival Outcomes—0
Multimodal Contextualized Semantic Parsing from SpeechCode0
Adaptive Multi-Scale Decomposition Framework for Time Series ForecastingCode2
Gaussian Copula Models for Nonignorable Missing Data Using Auxiliary Marginal QuantilesCode0
Docs2KG: Unified Knowledge Graph Construction from Heterogeneous Documents Assisted by Large Language ModelsCode3
Combining Experimental and Historical Data for Policy EvaluationCode0
Maximum Temperature Prediction Using Remote Sensing Data Via Convolutional Neural Network—0
An Attention-Based Multi-Context Convolutional Encoder-Decoder Neural Network for Work Zone Traffic Impact Prediction—0
Leveraging Large Language Models for Entity Matching—0
Biodiversity data standards for the organization and dissemination of complex research projects and digital twins: a guide—0
CAVACHON: a hierarchical variational autoencoder to integrate multi-modal single-cell dataCode0
A Gap in Time: The Challenge of Processing Heterogeneous IoT Data in Digitalized Buildings—0
Intervention-Aware Forecasting: Breaking Historical Limits from a System PerspectiveCode3
Address-Specific Sustainable Accommodation Choice Through Real-World Data Integration—0
Application of Artificial Intelligence in Schizophrenia Rehabilitation Management: A Systematic Scoping Review—0
Development of Semantics-Based Distributed Middleware for Heterogeneous Data Integration and its Application for Drought—0
ORBIT: Oak Ridge Base Foundation Model for Earth System Predictability—0
Integrating Heterogeneous Gene Expression Data through Knowledge Graphs for Improving Diabetes PredictionCode0
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