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Contribution Details
| Type | Book Chapter |
| Scope | Discipline-based scholarship |
| Title | Cross-language ontology learning |
| Organization Unit | |
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| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
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| Booktitle | Ontology learning and knowledge discovery using the web: challenges and recent advances |
| ISBN | 978-1-60960-625-1 |
| Place of Publication | Hershey, PA |
| Publisher | IGI Global |
| Page Range | 272 - 297 |
| Date | 2011 |
| Abstract Text | 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? |
| Official URL | http://www.igi-global.com/chapter/cross-language-ontology-learning/53891 |
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| Digital Object Identifier | 10.4018/978-1-60960-625-1.ch014 |
| Other Identification Number | merlin-id:6205 |
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