The ontology language OWL has become increasingly important during the previous years. However due to the uncontrolled growth, OWL ontologies in many cases are very heterogeneous with respect to the class and property labels that often lack a common and systematic view. For this reason we linguistically analyzed OWL class and property labels focusing on their implicit structure. Based on the results of this analysis we generated a first proposal for linguistically determined label generation which can be seen as a prerequisite for mapping OWL concepts to natural language patterns. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Fliedl, G., Kop, C., & Vöhringer, J. (2007). From OWL class and property labels to human understandable natural language. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4592 LNCS, pp. 156–167). Springer Verlag. https://doi.org/10.1007/978-3-540-73351-5_14
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