Abstract
We are proposing a semantic approach that aims to identify valid linguistic web services composition scenarios. It targets both linguistic and software engineering experts. It is based on an OWL 2 multilingual ontology, named LingOnto which models and reasons about linguistic knowledge. However, users especially non-ontology experts have difficulty to make sense of LingOnto as they do not understand OWL 2 syntax. Hence, we decide to visualize LingOnto to attempt this issue. Nevertheless, the current ontology visualization tools overlook the importance of the understandability issues which are particularly problematic for non-ontology experts. In this paper, we propose a user-friendly ontology visualization tool, called Ling-Graph. It targets both ontology and non-ontology experts and addresses the understandability requirement. This tool is also applied to visualize the PersonLink ontology for non-ontology experts and a large-scale ontology DBpedia for ontology experts. Finally, we discuss the promising results derived from the evaluation of Ling-Graph.
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Notes
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(Visual Ontology Modeler) http://thematix.com/tools/vom.
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Neji, M., Ghorbel, F., Gargouri, B. (2019). Visualizing a Linguistic Ontology with Ling-Graph. In: Nguyen, N., Chbeir, R., Exposito, E., Aniorté, P., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2019. Lecture Notes in Computer Science(), vol 11683. Springer, Cham. https://doi.org/10.1007/978-3-030-28377-3_4
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