Finding entity matches in large datasets is currently one of the most attractive research challenges. The recent interest of the research community towards Machine and Deep Learning techniques has led to the development of many and reliable approaches. Nevertheless, these are conceived as black-box tools that identify the matches between the entities provided as input. The lack of explainability of the process hampers its application to real-world scenarios where domain experts need to know and understand the reasons why entities can be considered as match, i.e., they represent the same real-world entity. In this paper, we show how data descriptions—a set of compact, readable and insightful formulas of boolean predicates—can be used to guide domain experts in understanding and evaluating the results of entity matching processes.

Using descriptions for explaining entity matches / Paganelli, M.; Sottovia, P.; Maccioni, A.; Interlandi, M.; Guerra, F.. - 2994:(2021). (Intervento presentato al convegno 29th Italian Symposium on Advanced Database Systems, SEBD 2021 tenutosi a ita nel 2021).

Using descriptions for explaining entity matches

Guerra F.
2021

Abstract

Finding entity matches in large datasets is currently one of the most attractive research challenges. The recent interest of the research community towards Machine and Deep Learning techniques has led to the development of many and reliable approaches. Nevertheless, these are conceived as black-box tools that identify the matches between the entities provided as input. The lack of explainability of the process hampers its application to real-world scenarios where domain experts need to know and understand the reasons why entities can be considered as match, i.e., they represent the same real-world entity. In this paper, we show how data descriptions—a set of compact, readable and insightful formulas of boolean predicates—can be used to guide domain experts in understanding and evaluating the results of entity matching processes.
2021
29th Italian Symposium on Advanced Database Systems, SEBD 2021
ita
2021
2994
Paganelli, M.; Sottovia, P.; Maccioni, A.; Interlandi, M.; Guerra, F.
Using descriptions for explaining entity matches / Paganelli, M.; Sottovia, P.; Maccioni, A.; Interlandi, M.; Guerra, F.. - 2994:(2021). (Intervento presentato al convegno 29th Italian Symposium on Advanced Database Systems, SEBD 2021 tenutosi a ita nel 2021).
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1264813
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact