Flexible RDF data extraction from Wiktionary - Leveraging the power of community build linguistic wikis

Jonas Brekle

AutorIn

Jonas Brekle

Titel

Flexible RDF data extraction from Wiktionary - Leveraging the power of community build linguistic wikis

Zitierfähige Url:

https://nbn-resolving.org/urn:nbn:de:bsz:15-qucosa2-172155

Schriftenreihe

Abschluss- und Qualifikationsarbeiten aus der Fakultät für Mathematik und Informatik

Datum der Einreichung

04.12.2012

Abstract (EN)

We present a declarative approach implemented in a comprehensive opensource framework (based on DBpedia) to extract lexical-semantic resources (an ontology about language use) from Wiktionary. The data currently includes language, part of speech, senses, definitions, synonyms, taxonomies (hyponyms, hyperonyms, synonyms, antonyms) and translations for each lexical word. Main focus is on flexibility to the loose schema and configurability towards differing language-editions ofWiktionary. This is achieved by a declarative mediator/wrapper approach. The goal is, to allow the addition of languages just by configuration without the need of programming, thus enabling the swift and resource-conserving adaptation of wrappers by domain experts. The extracted data is as fine granular as the source data in Wiktionary and additionally follows the lemon model. It enables use cases like disambiguation or machine translation. By offering a linked data service, we hope to extend DBpedia’s central role in the LOD infrastructure to the world of Open Linguistics. I

Freie Schlagwörter (EN)

data extraction, DBPedia, Linguistics, RDF, Semantic Web, Wiktionary

Klassifikation (DDC)

000

BetreuerIn Hochschule / Universität