Dec 2, 2015 · Abstract:In recent years, crowdsourcing is increasingly applied as a means to enhance data quality. Although the crowd generates insightful ...
This paper establishes how to deduce a consistent ER solution from noisy worker answers as part of the data interpretation problem, and focuses on the ...
Bibliographic details on Fault-Tolerant Entity Resolution with the Crowd.
People also ask
What are the fault tolerant principles?
What is the meaning of fault tolerant?
Crowd Entity Resolution uses humans, in addition to machine algorithms, to improve the quality of the outcome. We study a hybrid approach that combines two ...
... Fault-Tolerant Entity Resolution with the Crowd | In recent years, crowdsourcing is increasingly applied as a means to enhance data quality. Although the crowd ...
In this paper, we propose a novel approach called crowdsourced collective ER, which leverages the relationships between entities to infer matches jointly ...
Missing: Fault- | Show results with:Fault-
Abstract. Entity resolution (ER) is the task of identifying all records in a database that refer to the same underlying entity, and.
Crowdsourcing is becoming increasingly important in entity resolution tasks due to their inherent complexity such as clustering of images and natural ...
A Demonstration of PERC: Probabilistic Entity Resolution With Crowd Errors (VLDB 2018) [PDF, demo] ... A noise tolerant and schema-agnostic blocking ...
Jun 19, 2019 · Abstract. Entity resolution (ER) seeks to identify which records in a data set refer to the same real-world entity. Given the diversity of.