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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 411–420 of 431 papers

TitleStatusHype
NCBO Ontology Recommender 2.0: An Enhanced Approach for Biomedical Ontology Recommendation—0
Heter-LP: A heterogeneous label propagation algorithm and its application in drug repositioningCode0
Anfrage-getriebener Wissenstransfer zur Unterstuetzung von Datenanalysten—0
A Semantic Analyzer for the Comprehension of the Spontaneous Arabic Speech—0
Data Integration with High Dimensionality—0
Drug response prediction by inferring pathway-response associations with Kernelized Bayesian Matrix Factorization—0
MIMIC-III, a freely accessible critical care databaseCode0
Acceleration of Deep Neural Network Training with Resistive Cross-Point Devices—0
Git4Voc: Git-based Versioning for Collaborative Vocabulary Development—0
Combining exome and gene expression datasets in one graphical model of disease to empower the discovery of disease mechanisms—0
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