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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 351–375 of 431 papers

TitleStatusHype
Diagnostic data integration using deep neural networks for real-time plasma analysis—0
Efficient Joinable Table Discovery in Data Lakes: A High-Dimensional Similarity-Based Approach—0
Profiling Entity Matching Benchmark TasksCode0
Multifaceted Context Representation using Dual Attention for Ontology Alignment—0
Survive the Schema Changes: Integration of Unmanaged Data Using Deep Learning—0
LEAPME: Learning-based Property Matching with Embeddings—0
Kernel learning approaches for summarising and combining posterior similarity matricesCode0
Towards a Modular Ontology for Space Weather Research—0
Proceedings 36th International Conference on Logic Programming (Technical Communications)—0
Understanding Reflection Needs for Personal Health Data in Diabetes—0
DINGO: an ontology for projects and grants linked data—0
Community-Based Data Integration of Course and Job Data in Support of Personalized Career-Education Recommendations—0
Petri Nets with Parameterised Data: Modelling and Verification (Extended Version)—0
Causal Feature Selection for Algorithmic Fairness—0
An Empirical Meta-analysis of the Life Sciences (Linked?) Open Data on the WebCode0
NEMA: Automatic Integration of Large Network Management Databases—0
Secure and Differentially Private Bayesian Learning on Distributed Data—0
Consistent and Flexible Selectivity Estimation for High-Dimensional DataCode0
The scalable Birth-Death MCMC Algorithm for Mixed Graphical Model Learning with Application to Genomic Data IntegrationCode0
A Systematic Approach to Featurization for Cancer Drug Sensitivity Predictions with Deep LearningCode0
Elastic Coupled Co-clustering for Single-Cell Genomic DataCode0
Semantic interoperability based on the European Materials and Modelling Ontology and its ontological paradigm: Mereosemiotics—0
Crop Knowledge Discovery Based on Agricultural Big Data Integration—0
Data Warehouse and Decision Support on Integrated Crop Big Data—0
Contrastive Entity Linkage: Mining Variational Attributes from Large Catalogs for Entity Linkage—0
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