Ontology, an explicit specification of a shared conceptualisation, captures knowledge about
a specific domain of interest. The realisation of ontologies, revolutionised the way data
stored in relational databases is accessed and manipulated through ontology and database
integration.
When integrating ontologies with relational databases, several choices exist regarding
aspects such as database implementation, ontology language features, and mappings.
However, it is unclear which aspects are relevant and when they affect specific choices. This
imposes difficulties in deciding which choices to make and their implications on ontology and
database integration solutions.
Within this study, a decision-making tool that guides users when selecting a technology
and developing a solution that integrates ontologies with relational databases is developed.
A theory analysis is conducted to determine current status of technologies that integrate
ontologies with databases. Furthermore, a theoretical study is conducted to determine
important features affecting ontology and database integration, ontology language features,
and choices that one needs to make given each technology. Based on the building blocks
stated above, an artifact-building approach is used to develop the decision-making tool, and
this tool is verified through a proof-of-concept to prove the usefulness thereof.
Key terms: Ontology, semantics, relational database, ontology and database integration,
mapping, Web information portal. / Information Science / M. Sc. (Information Systems)
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:unisa/oai:uir.unisa.ac.za:10500/4371 |
| Date | 01 1900 |
| Creators | Chimamiwa, Gibson |
| Contributors | Gerber, Aurona J., Van der Merwe, Alta, Meyer, Thomas Andreas |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Dissertation |
| Format | 1 online resource (179 leaves) :|bill. |
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