Two Ways for the Automatic Generation of Application Ontologies by Using BalkaNet

Two Ways for the Automatic Generation of Application Ontologies by Using BalkaNet

Miljana Mladenović, Staša Vujičić Stanković, Vesna Pajić
Copyright: © 2020 |Pages: 24
DOI: 10.4018/IJSWIS.2020040102
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Abstract

This article presents two methods for the automatic generation of application ontologies from the multilingual BalkaNet WordNets Web ontology language (OWL) representation. Both proposed methods are applied on the BalkaNet WordNets ontology for the Serbian language (SerWN). The first one uses only the SerWN, both for generating class hierarchy and instances of classes, while the other method combines the SerWN with a domain ontology. The first method was used to automatically generate the FoodOntology, whereas the second method to generate the ontology of rhetorical figures tropes. Preliminary evaluation results corroborate the soundness of the approach. Since BN consists of individual WNs for five Balkan languages and Czech, the methodology presented in this article can also be used for all these languages. The first method can also be used for other domains.
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Princeton WordNet (PWN) is a lexical database of English nouns, verbs, adjectives and adverbs, grouped into sets of cognitive synonyms called synsets. It was created at Princeton University under management of George Miller and Christiane Fellbaum (Fellbaum, 1998). Synsets represent distinct concepts interlinked by means of conceptual-semantic and lexical relations and organized into a hierarchical structure consistent with theories of human semantic memory developed in the late 1960s that would help scientists working on psycholinguistic projects (Fellbaum, 1998). Based on PWN, WordNets (WNs) for other languages have also been developed through EuroWordNet (EWN) (Vossen, 1998) – a multilingual semantic network covering different European languages, MultiWordNet (Pianta, Bentivogli, & Girardi, 2002), BalkaNet (Christodoulakis, 2004), and other projects (see http://globalwordnet.org/wordnets-in-the-world/).

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