TRANSFORMING ONTOLOGY TO RELATIONAL DATABASE TO GENERATE AND MAINTAIN

• Main Author: MAHMUDI (NIM: 23514050), KAMAL
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/22745
• Institution: Institut Teknologi Bandung

Database has fact which used to save data from transaction processing system or <br /> <br /> other type of information system. It’s not enough to only have data as basis to <br /> <br /> support decision making or to answer concept related questions. Meanwhile <br /> <br /> knowledge also needs data. Application consists of data and some functions to <br /> <br /> process the data. Data processing includes CRUD component and transforming it <br /> <br /> to information and knowledge. Ontology as knowledge representation and <br /> <br /> database as fact recorder still play important role in application development, this <br /> <br /> calls for the needs to transform the content from each representation. But methods <br /> <br /> and tools to do it and detect the change after transformation are still short and <br /> <br /> used individually. This thesis proposed a tool for two-way ontology-relational <br /> <br /> database transformation. When changes occur in one representation after <br /> <br /> transformation, framework can detect it and add it to other representation. After <br /> <br /> that, application will be regenerated again from the start. All the processes are <br /> <br /> being done automatically within our framework, at the push of a button. <br /> <br /> This thesis was able to gather and use the tools and combined it within a <br /> <br /> framework, to generate web application which is adaptive to change whether the <br /> <br /> change is on database or on ontology.