| dc.description.abstract | The Semantic Web technology has become quite popular recently. The ontology-based data integration architecture is the important part of Semantic Web technology. It enables the sharing of concept with common schemas and also enables the representation of the information in machine understandable way. Therefore, the data source could be processed automatically. This master thesis is using the Semantic Web technology for data integration within Oil&Gas or maritime industries. The Norwegian Oil Industry Association (OLF), which takes a leading role in next generation Integrated Operations, has developed an Oil&Gas ontology for data integration across multi-domains. The Oil&Gas ontology is based on the ISO15926 standard. The master thesis devotes to clarify to what extend the Semantic Web technology and ISO15926 standard can be used together to improve the functionality of the Safety Instrument System (SIS), which is provided by the problem owner. This master thesis introduces a data integration framework according to the implementation methodology of ISO15926 standard and the architecture of Ontology based data integration. The framework uses the software Protégé [12] as a modeling tool to create a model for the Cause&Effect matrix based on the ISO15926 standard. The Jena API [33] is used to map the real-time data to the data source ontology. This project also implements a prototype using the Jena API including a querying system and reasoning system. The implementation of querying system, which gets the information intelligently, shows the improvement of data quality and accessibility. And the reasoning of the ontology shows the ability of automatic processing of the real time data, which has obviously improved the software functionality. | en |
