Nowadays, 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

• Li, Xiaoshuai

Contributors

• Eltabakh, Mohamed Y.
• Kordzadeh, Nima

Degree

• MS

Unit

• Data Science

Publisher

• Worcester Polytechnic Institute

Identifier

• etd-23086

Keyword

• Flask
• Apache Jena Fuseki
• OWL
• ontology
• SQL
• relational databases

Advisor

• Eltabakh, Mohamed Y.

Defense date

• 2021-05-06

Year

• 2021

Date created

• 2021-05-06

Resource type

• Thesis

Rights statement

• In Copyright

Last modified

• 2023-10-06