Academic Journal

Generalized Supervised Meta-blocking

التفاصيل البيبلوغرافية
العنوان: Generalized Supervised Meta-blocking
المؤلفون: Luca Gagliardelli, George Papadakis, Giovanni Simonini, Sonia Bergamaschi, Themis Palpanas
المساهمون: Gagliardelli, Luca, Papadakis, George, Simonini, Giovanni, Bergamaschi, Sonia, Palpanas, Themis
سنة النشر: 2022
المجموعة: Archivio della ricerca dell'Università di Modena e Reggio Emilia (Unimore: IRIS)
الوصف: Entity Resolution is a core data integration task that relies on Blocking to scale to large datasets. Schema-agnostic blocking achieves very high recall, requires no domain knowledge and applies to data of any structuredness and schema heterogeneity. This comes at the cost of many irrelevant candidate pairs (i.e., comparisons), which can be significantly reduced by Meta-blocking techniques that leverage the entity co-occurrence patterns inside blocks: first, pairs of candidate entities are weighted in proportion to their matching likelihood, and then, pruning discards the pairs with the lowest scores. Supervised Meta-blocking goes beyond this approach by combining multiple scores per comparison into a feature vector that is fed to a binary classifier. By using probabilistic classifiers, Generalized Supervised Meta-blocking associates every pair of candidates with a score that can be used by any pruning algorithm. For higher effectiveness, new weighting schemes are examined as features. Through extensive experiments, we identify the best pruning algorithms, their optimal sets of features, as well as the minimum possible size of the training set.
نوع الوثيقة: article in journal/newspaper
اللغة: English
Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:000992384400014; 48th International Conference on Very Large Data Bases, VLDB 2022; volume:15; issue:9; firstpage:1902; lastpage:1910; journal:PROCEEDINGS OF THE VLDB ENDOWMENT; https://hdl.handle.net/11380/1278618; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85134416481
DOI: 10.14778/3538598.3538611
الاتاحة: https://hdl.handle.net/11380/1278618
https://doi.org/10.14778/3538598.3538611
Rights: info:eu-repo/semantics/openAccess
رقم الانضمام: edsbas.B82E732D
قاعدة البيانات: BASE
الوصف
DOI:10.14778/3538598.3538611