TY  - JOUR
A1  - Graf, Martin
A1  - Laskowski, Lukas
A1  - Papsdorf, Florian
A1  - Sold, Florian
A1  - Gremmelspacher, Roland
A1  - Naumann, Felix
A1  - Panse, Fabian
T1  - Frost: a platform for benchmarking and exploring data matching results
T2  - Proceedings of the VLDB Endowment
N2  - "Bad" data has a direct impact on 88% of companies, with the average company losing 12% of its revenue due to it. 
Duplicates - multiple but different representations of the same real-world entities are among the main reasons for poor data quality, so finding and configuring the right deduplication solution is essential. 
Existing data matching benchmarks focus on the quality of matching results and neglect other important factors, such as business requirements. Additionally, they often do not support the exploration of data matching results. 

To address this gap between the mere counting of record pairs vs. a comprehensive means to evaluate data matching solutions, we present the Frost platform. 
It combines existing benchmarks, established quality metrics, cost and effort metrics, and exploration techniques, making it the first platform to allow systematic exploration to understand matching results. 
Frost is implemented and published in the open-source application Snowman, which includes the visual exploration of matching results, as shown in Figure 1.
Y1  - 2022
UR  - https://publishup.uni-potsdam.de/frontdoor/index/index/docId/65225
SN  - 2150-8097
VL  - 15
IS  - 12
SP  - 3292
EP  - 3305
PB  - Association for Computing Machinery
CY  - New York
ER  -