Leveraging the Crowdsourcing of Lexical Resources for Bootstrapping a Linguistic Data Cloud [chapter]

Sebastian Hellmann, Jonas Brekle, Sören Auer
2013 Lecture Notes in Computer Science  
We present a declarative approach implemented in a comprehensive open-source framework based on DBpedia to extract lexicalsemantic resources -an ontology about language use -from Wiktionary. The data currently includes language, part of speech, senses, definitions, synonyms, translations and taxonomies (hyponyms, hyperonyms, synonyms, antonyms) for each lexical word. Main focus is on flexibility to the loose schema and configurability towards differing language-editions of Wiktionary. This is
more » ... hieved 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 adaption 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. 1 http://s23.org/wikistats/wiktionaries_html.php 2 See http://en.wiktionary.org/wiki/semantic for a simple example page 24 http://downloads.dbpedia.org/wiktionary 25 for example http://wiktionary.dbpedia.org/resource/dog 26 http://wiktionary.dbpedia.org/fct 27 http://wiktionary.dbpedia.org/sparql
doi:10.1007/978-3-642-37996-3_13 fatcat:whm5qratnzh2poiuxlqgo4jarq