10 citations · 17 across the 6 of their papers we have counts for
8 papers
Approximating Opaque Top-k Queries
Jiwon Chang, Fatemeh Nargesian
Combining query answering and data science workloads has become prevalent. An important class of such workloads is top-k queries with a scoring function implemented as an opaque UD…
OpenForge: Probabilistic Metadata Integration
Tianji Cong, Fatemeh Nargesian, Junjie Xing +1
Modern data stores increasingly rely on metadata for enabling diverse activities such as data cataloging and search. However, metadata curation remains a labor-intensive task, and…
FairEM360: A Suite for Responsible Entity Matching
Nima Shahbazi, Mahdi Erfanian, Abolfazl Asudeh +2
Entity matching is one the earliest tasks that occur in the big data pipeline and is alarmingly exposed to unintentional biases that affect the quality of data. Identifying and mit…
Through the Fairness Lens: Experimental Analysis and Evaluation of Entity Matching
Nima Shahbazi, Nikola Danevski, Fatemeh Nargesian +2
Entity matching (EM) is a challenging problem studied by different communities for over half a century. Algorithmic fairness has also become a timely topic to address machine bias…
Pylon: Semantic Table Union Search in Data Lakes
Tianji Cong, Fatemeh Nargesian, H. V. Jagadish
The large size and fast growth of data repositories, such as data lakes, has spurred the need for data discovery to help analysts find related data. The problem has become challeng…
Knowledge Translation: Extended Technical Report
Bahar Ghadiri Bashardoost, Renée J. Miller, Kelly Lyons +1
We introduce Kensho, a tool for generating mapping rules between two Knowledge Bases (KBs). To create the mapping rules, Kensho starts with a set of correspondences and enriches th…