Abstract
Data handling and retrieving has an essential importance where the data size is larger than a certain amount. Storing transactional data in relational form and querying with Structured Query Language (SQL) is very preferable because of its tabular structure. Data may be also stored in an ontological form if it includes numerous semantic relations. This method is more suitable in order to infer information from relations. When transactional data contain many semantic relations inside as in our problem, it is not easy to decide the method of storing and querying. We introduce a new querying mechanism “Ontology Supported RDBMS Querying (OSDBQ)” covering positive sides of both two storing and querying methods. This paper describes OSDBQ and presents a comparison between three querying methods. Results show that most of the time OSDBQ returns fairly better results than the others.
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Aksoy, C., Alparslan, E., Bozdağ, S., Çulhacı, İ. (2011). OSDBQ: Ontology Supported RDBMS Querying. In: García-Barriocanal, E., Cebeci, Z., Okur, M.C., Öztürk, A. (eds) Metadata and Semantic Research. MTSR 2011. Communications in Computer and Information Science, vol 240. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24731-6_5
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DOI: https://doi.org/10.1007/978-3-642-24731-6_5
Publisher Name: Springer, Berlin, Heidelberg
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