SQLogy: Integrated Query Engine for Relational and Ontology Databases
PublicDownloadable Content
open in viewerNowadays, applications collect and generate huge amounts of data, but it is often isolated and siloed away in different formats under various data systems. It is such a challenging task to query both structured tabular data stored in relational databases and associated semantic data stored in ontology dataset. With the current techniques, in order to query data from both relational databases and ontologies, users must transfer one data source to the other first to unify the data resources and facilitate interoperability. This approach has some drawbacks. In this thesis, we propose a query engine “SOLogy”, and its associated web interface, that facilitates querying from RDBMS and ontology dataset natively without data movement. The engine then manages the integrated processing transparently from the end-user.
- Creator
- Contributors
- Degree
- Unit
- Publisher
- Identifier
- etd-23086
- Keyword
- Advisor
- Defense date
- Year
- 2021
- Date created
- 2021-05-06
- Resource type
- Rights statement
- Last modified
- 2023-10-06
Relations
- In Collection:
Items
Items
Thumbnail | Title | Visibility | Embargo Release Date | Actions |
---|---|---|---|---|
MS Thesis Xiaoshuai Li.pdf | Public | Download |
Permanent link to this page: https://digital.wpi.edu/show/76537412d