Abstract
Nowadays, all ingredients are available for developing domain ontologies. This is due to the presence of various types of methodologies for creating domain ontologies [3]. The adoption of ontologies by real life applications generates mountains of ontological data that need techniques and tools to facilitate their storage, management and querying.
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Jean, S., Bellatreche, L., Ordonez, C., Fokou, G., Baron, M. (2013). OntoDBench: Interactively Benchmarking Ontology Storage in a Database. In: Ng, W., Storey, V.C., Trujillo, J.C. (eds) Conceptual Modeling. ER 2013. Lecture Notes in Computer Science, vol 8217. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41924-9_44
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DOI: https://doi.org/10.1007/978-3-642-41924-9_44
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