A critical re-evaluation of neural methods for entity alignment
M Leone, S Huber, A Arora, A García-Durán… - Proceedings of the …, 2022 - dl.acm.org
Neural methods have become the de-facto choice for the vast majority of data analysis tasks,
and entity alignment (EA) is no exception. Not surprisingly, more than 50 different neural EA …
and entity alignment (EA) is no exception. Not surprisingly, more than 50 different neural EA …
Unsupervised matching of data and text
Entity resolution is a widely studied problem with several proposals to match records across
relations. Matching textual content is a widespread task in many applications, such as …
relations. Matching textual content is a widespread task in many applications, such as …
Modeling and Enhancing Human Knowledge Navigation
A Arora - 2024 - infoscience.epfl.ch
Homo sapiens (Latin:“wise human”) is a born knowledge seeker, and thus, information is a
key part of our daily diet. Referring to humans as “Informavores”, the famous cognitive …
key part of our daily diet. Referring to humans as “Informavores”, the famous cognitive …
Learning-based assistant for data migration of enterprise information systems
S Mitra, D Mukherjee, A Bandyopadhyay… - 2021 36th IEEE/ACM …, 2021 - ieeexplore.ieee.org
Data migration from source to target information system is a critical step for modernizing
information systems. Central to data migration is data transform that transforms the source …
information systems. Central to data migration is data transform that transforms the source …
Towards Knowledge Exchange: State-of-the-Art and Open Problems
We discuss our experience in bringing data exchange to knowledge graphs. This
experience includes the development of Kensho, a tool for generating mapping rules and …
experience includes the development of Kensho, a tool for generating mapping rules and …