| Titel: |
Modelling and Processing Wordnets in OWL |
| Personen: | Lüngen, Harald/Beißwenger, Michael/Selzam, Bianca/Storrer, Angelika |
| Jahr: |
2011 |
| Typ: |
Aufsatz |
| Verlag: |
Springer |
| Ortsangabe: |
Dordrecht |
| In: |
Mehler, Alexander/Kühnberger, Kai-Uwe/Lobin, Henning/Lüngen, Harald/Storrer, Angelika/Witt, Andreas (Hgg.): Modelling, Learning and Processing of Text Technological Data Structures |
| Seiten: |
347-376 |
| Untersuchte Sprachen: |
Englisch*English |
| Schlagwörter: |
Datenmodellierung*data modelling
Internet-Lexikografie/Online-Lexikografie*internet lexicography/online lexicography
semantische Relationen im Wörterbuch*semantic/sense relations in dictionaries
Verlinkung/Verweis*cross-references
Wortschatz*vocabulary
|
| URI: |
http://www.studiger.tu-dortmund.de/images/Model-wn-owl.pdf |
| Zuletzt besucht: |
10.09.2018 |
| Abstract: |
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 class 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 class 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
LexicalUnit and Synset 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 plugin relations between
TermNet technical terms and GermaNet synsets are defined. We report on the results
of several experiments in which the performance of querying and processing
the different models in two application contexts was evaluated: (1) A comparison
of all three OWL models (class, instance, and metaclass model) of TermNet in the
context of automatic hyperlinking, (2) an investigation of the potential of the GermaTermNet resource by the example of a wordnet-based semantic relatedness calculation. |