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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 276–300 of 431 papers

TitleStatusHype
GeoFault: A well-founded fault ontology for interoperability in geological modeling—0
A Biomedical Knowledge Graph for Biomarker Discovery in Cancer—0
Dynamic Basis Function Interpolation for Adaptive In Situ Data Integration in Ocean Modeling—0
SOTAB: The WDC Schema.org Table Annotation BenchmarkCode0
Functional Integrative Bayesian Analysis of High-dimensional Multiplatform Genomic Data—0
Analytical Engines With Context-Rich Processing: Towards Efficient Next-Generation Analytics—0
Accu-Help: A Machine Learning based Smart Healthcare Framework for Accurate Detection of Obsessive Compulsive Disorder—0
Segment-based fusion of multi-sensor multi-scale satellite soil moisture retrievals—0
Graph Neural Networks for Breast Cancer Data Integration—0
OPTION: OPTImization Algorithm Benchmarking ONtology—0
Privacy-preserving Deep Learning based Record Linkage—0
Lipschitz-regularized gradient flows and generative particle algorithms for high-dimensional scarce dataCode0
Efficient Vertical Federated Learning Method for Ridge Regression of Large-Scale Samples via Least-Squares SolutionCode0
Bottom-up data integration in polymer models of chromatin organisation—0
Question Answering Over Biological Knowledge Graph via Amazon Alexa—0
An Ontology for Defect Detection in Metal Additive Manufacturing—0
Popularity Driven Data Integration—0
Query-based Industrial Analytics over Knowledge Graphs with Ontology Reshaping—0
Modelling Technical and Biological Effects in scRNA-seq data with Scalable GPLVMsCode0
Need for Design Patterns: Interoperability Issues and Modelling Challenges for Observational Data—0
Proceedings 38th International Conference on Logic Programming—0
A health telemonitoring platform based on data integration from different sources—0
Stacked Autoencoder Based Multi-Omics Data Integration for Cancer Survival PredictionCode0
Data integration in systems genetics and aging research—0
Multi-Omic Data Integration and Feature Selection for Survival-based Patient Stratification via Supervised Concrete AutoencodersCode0
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