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Author(s): Meyer, Christian M.; Gurevych, Iryna
Title: OntoWiktionary - constructing an ontology from the collaborative online dictionary Wiktionary
In: Pazienza, Maria Teresa; Stellato, Armando (Hrsg.): Semi-automatic ontology development: Processes and resources, Hershey; PA; : IGI Global, 2012 , S. 131-161
URL: http://www.ukp.tu-darmstadt.de/fileadmin/user_upload/Group_UKP/publikationen/2012/igi-saod2011-meyer-ontowiktionary.pdf
Publication Type: 4. Beiträge in Sammelwerken; Sammelband (keine besondere Kategorie)
Language: Englisch
Keywords: Computerlinguistik; Computerunterstütztes Verfahren; Evaluation; Konzeption; Lexikon; Mehrsprachigkeit; Ontologie; Soziale Software; World wide web 2.0
Abstract: The semi-automatic development of ontologies is an important field of research, since existing ontologies often suffer from their small size, unaffordable construction cost, and limited quality of ontology learning systems. The main objective of this chapter is to introduce Wiktionary, which is a collaborative online dictionary encoding information about words, word senses, and relations between them, as a resource for ontology construction. The authors find that a Wiktionary-based ontology can exceed the size of, for example, OpenCyc and OntoWordNet. One particular advantage of Wiktionary is its multilingual nature, which allows the construction of ontologies for different languages. Additionally, its collaborative construction approach means that novel concepts and domain-specific knowledge are quick to appear in the dictionary. For constructing their ontology OntOWiktiOnary, the authors present a two-step approach that involves (1) harvesting structured knowledge from Wiktionary and (2) ontologizing this knowledge (i.e., the formation of ontological concepts and relationships from the harvested knowledge). They evaluate their approach based on human judgments and find their new ontology to be of overall good quality. To encourage further research in this field, the authors make the final OntOWiktiOnary publicly available and suggest integrating this novel resource with the linked data cloud as well as other existing ontology projects.
DIPF-Departments: Informationszentrum Bildung