Volltext-Downloads (blau) und Frontdoor-Views (grau)

Modelling and Processing Wordnets in OWL

  • In this contribution, we discuss and compare alternative options of modelling the entities and relations of wordnet-like resources in the Web Ontology Language OWL. Based on different modelling options, we developed three models of representing wordnets in OWL, i.e. the instance model, the dass model, and the metaclass model. These OWL models mainly differ with respect to the ontological Status of lexical units (word senses) and the synsets. While in the instance model lexical units and synsets are represented as individuals, in the dass model they are represented as classes; both model types can be encoded in the dialect OWL DL. As a third alternative, we developed a metaclass model in OWL FULL, in which lexical units and synsets are defined as metaclasses, the individuals of which are classes themselves. We apply the three OWL models to each of three wordnet-style resources: (1) a subset of the German wordnet GermaNet, (2) the wordnet-style domain ontology TermNet, and (3) GermaTermNet, in which TermNet technical terms and GermaNet synsets are connected by means of a set of “plug-in” relations. We report on the results of several experiments in which we evaluated the performance of querying and processing these different models: (1) A comparison of all three OWL models (dass, instance, and metaclass model) of TermNet in the context of automatic text-to-hypertext conversion, (2) an investigation of the potential of the GermaTermNet resource by the example of a wordnet-based semantic relatedness calculation.

Download full text files

Export metadata

Additional Services

Share in Twitter Search Google Scholar


Author:Harald LüngenGND, Michael Beißwenger, Bianca Selzam, Angelika Storrer
Parent Title (English):Modelling, Learning, and Processing of Text-Technological Data Structures
Series (Serial Number):Studies in Computational Intelligence (370)
Place of publication:Berlin/Heidelberg
Editor:Alexander Mehler, Kai-Uwe Kühnberger, Henning Lobin, Harald Lüngen, Angelika Storrer, Andreas Witt
Document Type:Part of a Book
Year of first Publication:2011
Date of Publication (online):2016/05/02
GND Keyword:Computerlinguistik; Deutsch; Semantisches Netz
First Page:347
Last Page:376
DDC classes:400 Sprache / 410 Linguistik
Open Access?:ja
Leibniz-Classification:Sprache, Linguistik
Licence (German):License LogoUrheberrechtlich geschützt