Multilingual Extraction Ontologies
نویسندگان
چکیده
The growth of multilingual web content and increasing internationalization portends the need for cross-language query processing. We offer ML-OntoES (a MultiLingual Ontology-based Extraction System) as a solution for narrowdomain/data-rich applications. Based on language-independent extraction ontologies (Embley, Liddle, & Lonsdale, 2011), ML-OntoES enables semantic search over domain-specific, semi-structured information. Key ideas of ML-OntoES include: (1) monolingual semantic indexing and query interpretation with extraction ontologies and (2) conceptual-level cross-language translation. A prototype implementation, along with experimental work showing good extraction accuracy in multiple languages, demonstrates the viability of the ML-OntoES approach of using multilingual extraction ontologies for cross-language query processing.
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