Wikipedia provides a knowledge base for computing word relatedness in a more structured fashion than a search engine and with more coverage than WordNet. In this work we present e...
This paper describes an attempt to build a lexical database for the Yami language, an Austronesian endangered language. As the Yami language documentation and conservation project...
Meng-Chien Yang, D. Victoria Rau, Ann Hui-Huan Cha...
General-purpose ontologies (e.g. WordNet) are convenient, but they are not always scientifically valid. We draw on techniques from semantic class learning to improve the scientific...
Abstract. The Semantic Web has recently seen a rise of large knowledge bases (such as DBpedia) that are freely accessible via SPARQL endpoints. The structured representation of the...
Philipp Heim, Sebastian Hellmann, Jens Lehmann, St...
In this paper we give an overview of a multiontology disambiguation method, targeted to discover the intended meaning of words in unstructured web contexts. It receives an ambiguo...