Hjelm, Hans; Volk, Martin (2011). Cross-language ontology learning. In: Wong, Wilson; Liu, Wei; Bennamoun, Mohammed. Ontology learning and knowledge discovery using the web: challenges and recent advances. Hershey, PA, 272-297. ISBN 978-1-60960-625-1.
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A formal ontology does not contain lexical knowledge; it is by nature language-independent. Mappings can be added between the ontology and, arbitrarily, many lexica in any number of languages. The result of this operation is what is here referred to as a cross-language ontology. A cross-language ontology can be a useful resource for machine translation or cross-language information retrieval. This chapter focuses on ways of automatically building an ontology by exploiting cross-language information from parallel corpora. The goal is to improve the automatic learning results compared to learning an ontology from resources in a single language. The authors present a framework for cross-language ontology learning, providing a setting in which cross-language evidence (data) can be integrated and quantified. The aim is to investigate the following question: Can cross-language data teach us more than data from a single language for the ontology learning task?
|Item Type:||Book Section, refereed, original work|
|Communities & Collections:||03 Faculty of Economics > Department of Informatics|
|DDC:||000 Computer science, knowledge & systems|
|Deposited On:||03 Jan 2012 17:01|
|Last Modified:||04 Apr 2012 14:11|
|Other Identification Number:||merlin-id:6205|
Scopus®. Citation Count: 1
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