Abstract
Ontology has been emerged as a powerful way to share common understanding, due to its ability to chain limitless amount of knowledge. In most cases, groups of domain expert design and standardize ontology model. Unfortunately, in some cases, domain experts are not yet available to develop an ontology. In this paper, we extend the possibilities of creating a shareable knowledge conceptualization terminology in uncommon domain knowledge where a standardized ontology developed by groups of experts is not yet available.
Our aim is to capture knowledge and behaviour which is represented by data. We propose a model of automatic data-driven dynamic ontology creation. The created ontology model can be used as a standard to create the whole populated ontology in different remote locations in order to perform data exchange more seamlessly. The dynamic ontology has a feature of a real-time propagation from the change in the data source structure. A novel delta script is developed as the base of propagation. In order to complete the model, we also present an information of application support in the form of Jena API mapping for propagation implementation.
Keywords
- data-driven
- dynamic ontology
- propagation
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Fudholi, D.H., Rahayu, W., Pardede, E., Hendrik (2013). A Data-Driven Approach toward Building Dynamic Ontology. In: Mustofa, K., Neuhold, E.J., Tjoa, A.M., Weippl, E., You, I. (eds) Information and Communication Technology. ICT-EurAsia 2013. Lecture Notes in Computer Science, vol 7804. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36818-9_23
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DOI: https://doi.org/10.1007/978-3-642-36818-9_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36817-2
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