Schema matching--the task of finding matches between attributes across disparate data
sources with different tables and hierarchies--is critical for creating interoperable machine …

Schema and entity matching tasks are crucial for data integration and management. While
large language models (LLMs) have shown promising results in these tasks, they suffer from …

Schema matching is the process of identifying correspondences between the elements of
two given schemata, essential for database management systems, data integration, and …

Geographic Knowledge Base Question Answering (GeoKBQA) has garnered increasing
attention for its ability to process complex geographic queries. This study focuses on schema …

To unify source tables, various industries including healthcare, marketing, and government
have established standardized target databases. Transforming source tables into these …

Recent advances in language models opened new opportunities to address complex
schema matching tasks. Schema matching approaches have been proposed that …

Traditional similarity-based schema matching methods are incapable of resolving semantic
ambiguities and conflicts in domain-specific complex mapping scenarios due to missing …

Database schema matching is a core task in data integration, which involves finding the
mapping relationship between tables and attributes between two databases. However, this …

Schema matching--the task of finding matches between attributes across disparate data
sources with different tables and hierarchies--is critical for creating interoperable machine …

Matching attributes from different repositories is an important step in the process of schema
integration to consolidate heterogeneous data silos. In order to recommend linkages …