Abstract
One of the challenges of using ontology evolution approaches is the capability of exposing the ontology with information that may be used by third-party tools for tracking the updates carried out on the ontologies. In this paper we present and enhanced version of the MoKi tool equipped with an ontology evolution approach that permits to evolve an ontology by providing a mechanism for facing the tracking challenge. By considering, as use case, the context of the Organic.Lingua EU-project, we will discuss the effectiveness of the proposed approach and possible drawbacks.
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Keywords
- Knowledge Engineer
- Ontology Evolution
- Retrieval Effectiveness
- Business Process Modeling Notation
- External Tool
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Dragoni, M., Ghidini, C. (2012). Ontology Evolution with Semantic Wikis. In: Bajec, M., Eder, J. (eds) Advanced Information Systems Engineering Workshops. CAiSE 2012. Lecture Notes in Business Information Processing, vol 112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31069-0_9
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