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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 351–400 of 431 papers

TitleStatusHype
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
BayReL: Bayesian Relational Learning for Multi-omics Data IntegrationCode1
LEAPME: Learning-based Property Matching with Embeddings—0
SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph SummarizationCode1
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
Community-Based Data Integration of Course and Job Data in Support of Personalized Career-Education Recommendations—0
DINGO: an ontology for projects and grants linked data—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
Data integration and prediction models of photovoltaic production from Brazilian northeastern—0
Siamese Graph Neural Networks for Data Integration—0
Enhancing streamflow forecast and extracting insights using long-short term memory networks with data integration at continental scales—0
Adverse Childhood Experiences Ontology for Mental Health Surveillance, Research, and Evaluation: Advanced Knowledge Representation and Semantic Web Techniques—0
Leveraging Legacy Data to Accelerate Materials Design via Preference LearningCode0
Privacy-preserving Federated Bayesian Learning of a Generative Model for Imbalanced Classification of Clinical Data—0
A Pseudo-Likelihood Approach to Linear Regression with Partially Shuffled Data—0
Ontology Based Information Integration: A Survey—0
Proceedings 35th International Conference on Logic Programming (Technical Communications)—0
Local Embeddings for Relational Data Integration—0
Supervised prediction of aging-related genes from a context-specific protein interaction subnetwork—0
Linking Graph Entities with Multiplicity and Provenance—0
Fast Record Linkage for Company Entities—0
A Survey of Data Quality Measurement and Monitoring Tools—0
Reasoning about disclosure in data integration in the presence of source constraints—0
Designing and Implementing Data Warehouse for Agricultural Big Data—0
Feature Selection for Data Integration with Mixed Multi-view Data—0
Scalable Similarity Joins of Tokenized Strings—0
Hybrid Modelling in Oncology: Sucesses, Challenges and Hopes—0
TweetsKB: A Public and Large-Scale RDF Corpus of Annotated Tweets—0
Reuse and Adaptation for Entity Resolution through Transfer Learning—0
Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities—0
Specifying, Monitoring, and Executing Workflows in Linked Data Environments—0
K-shell decomposition reveals hierarchical cortical organization of the human brain—0
Joint Estimation and Inference for Data Integration Problems based on Multiple Multi-layered Gaussian Graphical ModelsCode0
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