Cross-language Ontology Learning
作者： Hans Hjelm , Martin Volk
DOI: 10.4018/978-1-60960-625-1.CH014
关键词: Ontology-based data integration 、 Formal ontology 、 Artificial intelligence 、 Natural language processing 、 Process ontology 、 Ontology (information science) 、 Open Biomedical Ontologies 、 Suggested Upper Merged Ontology 、 Computer science 、 Upper ontology 、 Ontology learning
摘要: A formal ontology does not contain lexical knowledge; it is by nature language-independent. Mappings can be added between the and, arbitrarily, many lexica in any number of languages. The result this operation what here referred to as a cross-language ontology. useful resource for machine translation or information retrieval. This chapter focuses on ways automatically building an exploiting from parallel corpora. goal improve automatic learning results compared resources single language. authors present framework learning, providing setting which evidence (data) integrated and quantified. aim investigate following question: Can data teach us more than language task?
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