238 citations · 348 across the 20 of their papers we have counts for
16 papers · 1 filter
OMNIA: Closing the Loop by Leveraging LLMs for Knowledge Graph Completion
Frédéric Ieng, Soror Sahri, Mourad Ouzzani +5
Knowledge Graphs (KGs) are widely used to represent structured knowledge, yet their automatic construction, especially with Large Language Models (LLMs), often results in incomplet…
RetClean: Retrieval-Based Data Cleaning Using Foundation Models and Data Lakes
Zan Ahmad Naeem, Mohammad Shahmeer Ahmad, Mohamed Eltabakh +2
Can foundation models (such as ChatGPT) clean your data? In this proposal, we demonstrate that indeed ChatGPT can assist in data cleaning by suggesting corrections for specific cel…
Dataset-On-Demand: Automatic View Search and Presentation for Data Discovery
Raul Castro Fernandez, Nan Tang, Mourad Ouzzani +2
Many data problems are solved when the right view of a combination of datasets is identified. Finding such a view is challenging because of the many tables spread across many datab…
LocationSpark: In-memory Distributed Spatial Query Processing and Optimization
Mingjie Tang, Yongyang Yu, Walid G. Aref +3
Due to the ubiquity of spatial data applications and the large amounts of spatial data that these applications generate and process, there is a pressing need for scalable spatial q…
Technical Report: Optimizing Human Involvement for Entity Matching and Consolidation
Ji Sun, Dong Deng, Ihab Ilyas +5
An end-to-end data integration system requires human feedback in several phases, including collecting training data for entity matching, debugging the resulting clusters, confirmin…
Reuse and Adaptation for Entity Resolution through Transfer Learning
Saravanan Thirumuruganathan, Shameem A Puthiya Parambath, Mourad Ouzzani +2
Entity resolution (ER) is one of the fundamental problems in data integration, where machine learning (ML) based classifiers often provide the state-of-the-art results. Considerabl…