Anzeige
Erschienen in:
2014 | OriginalPaper | Buchkapitel
Summarizing Relational Database Schema Based on Label Propagation
verfasst von : Xiaojie Yuan, Xinkun Li, Man Yu, Xiangrui Cai, Ying Zhang, Yanlong Wen
Erschienen in: Web Technologies and Applications
Verlag: Springer International Publishing
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Real enterprise databases are usually composed of hundreds of tables, which make querying a complex database a really hard task for unprofessional users, especially when lack of documentation. Schema summarization helps to improve the usability of databases and provides a succinct overview of the entire schema. In this paper, we introduce a novel three-step schema summarization method based on label propagation. First, we exploit varied similarity properties in database schema and propose a measure of table similarity based on Radial Basis Function Kernel, which measures similarity properties comprehensively. Second, we find representative tables as labeled data and annotate the labeled schema graph. Finally, we use label propagation algorithm on the labeled schema graph to classify database schema and create a schema summary. Extensive evaluations demonstrate the effectiveness of our approach.