4 papers · 1 filter
Single and Multi Truth Data Fusion using Large Language Models
Hira Beril Kucuk, Norman W Paton, Jiaoyan Chen +1
Data fusion, also known as truth discovery, is a data integration problem that aims to determine the correct value or set of values for each attribute of an object when presented w…
Conceptual Schema Inference for Tabular Datasets using Large Language Models
Zhenyu Wu, Jiaoyan Chen, Norman W. Paton
Large collections of tabular data from data lakes, web tables and open data portals often originate from heterogeneous sources, leading to representational inconsistencies. Underst…
Conceptual Schema Inference for Tabular Datasets using Large Language Models
Zhenyu Wu, Jiaoyan Chen, Norman W. Paton
Large collections of tabular data from data lakes, web tables and open data portals often originate from heterogeneous sources, leading to representational inconsistencies. Underst…
Taxonomy Inference for Tabular Data Using Large Language Models
Zhenyu Wu, Jiaoyan Chen, Norman W. Paton
Taxonomy inference for tabular data is a critical task of schema inference, aiming at discovering entity types (i.e., concepts) of the tables and building their hierarchy. It can p…