A Collective, Probabilistic Approach to Schema Mapping Using Diverse Noisy Evidence

TitleA Collective, Probabilistic Approach to Schema Mapping Using Diverse Noisy Evidence
Publication TypeJournal Article
Year of Publication2019
AuthorsKimmig, A, Memory, A, Miller, RJ, Getoor, L
JournalIEEE Transactions on Knowledge and Data Engineering
Volume31
Pagination1426-1439
Date PublishedAug
KeywordsCognition, Complexity theory, Data engineering, Knowledge engineering, Metadata, Probabilistic logic, Schema mapping, Task analysis, collective mapping discovery, data integration, inference mechanisms, meta data, optimisation, optimization, potential mappings, probabilistic reasoning techniques, probability, schema mapping optimization problem, uncertainty handling
DOI10.1109/TKDE.2018.2865785