Iwonto – SQL Based Mapping from Relational Databases to Ontologies (original) (raw)

2012, Proceedings of the 8th International Conference on Web Information Systems and Technologies

Ontologies are a formal representation of knowledge and semantics. With the emergence of the Semantic Web in the early 2000s, ontologies were pushed and from a theoretical point of view, many things could be solved. However, on the applicability level even finding the right tool to extract and load relational data into an existing ontology is a challenge and performing it remains a time consuming task. Based on various real case scenarios from the archaeological domain, we tried ontology-based approaches to integrate data. In those scenarios we had to deal with relational schema violating academic design principles. This complicated the situation. After an analysis of existing tools, we decided to implement our own tool to import relational data from different sources into our ontology. This paper will explain our motivation for implementing our tool called IwOnto and how it works. We decided to base it on SQL, which is known by our main target audience. Thereby we reached our design goal to avoid the necessity of learning another query language (e.g. SPARQL).

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