2026-09-19T05:03:43Zhttps://wakespace.lib.wfu.edu/server/oai/request

oai:null:10339/148172026-09-02T10:08:00Zcom_10339_14934col_10339_38132

Zheng, Shuai 2010-05-07T18:15:57Z 2010-06-18T18:59:01Z 2010-05-07T18:15:57Z 2010-06-18T18:59:01Z 2010-05-07T18:15:57Z https://wakespace.lib.wfu.edu/handle/10339/14817 In both scientific research and data analysis, one of the most important challenges is managing and utilizing large amounts of data. Unfortunately, the information needed may be distributed across multiple databases with inconsistent or conflicting schemas. Such data inconsistencies are, at the very least, an impediment to users. This phenomenon raises the need for a tool that can integrate heterogeneous databases. This project established an architecture for integrating data from heterogeneous databases into an RDF data repository and then mapping the integrated dataset to concepts in an ontology. Through the concepts represented in the ontology, users can readily retrieve information from the federated data repository system. en_US Wake Forest University Database A Federated Data Repository Query System Thesis EXTENDED to 18 June 2022 by Molly Keener, 27 May 2020. Original embargo term: Release the entire work for access only to the Wake Forest University system for one year from the date [above]. After one year, release the entire work for access worldwide. Pauca, Paúl Thomas, Stan Ge, Yaorong Computer Science open.access