Cited By
View all- Embley DLiddle S(2013)Big Data--Conceptual Modeling to the RescueProceedings of the 32nd International Conference on Conceptual Modeling - Volume 821710.1007/978-3-642-41924-9_1(1-8)Online publication date: 11-Nov-2013
Cross-language hybrid keyword and semantic search
Authors: 
David W. Embley, Stephen W. Liddle, Deryle W. Lonsdale, Joseph S. Park, Byung-Joo Shin, Andrew J. ZitzelbergerAuthors Info & Claims
Pages 190 - 203
Abstract
The growth of multilingual web content and increasing internationalization portends the need for cross-language information retrieval. As a solution to this problem for narrow-domain, data-rich web content, we offer ML-HyKSS: MultiLingual Hybrid Keyword and Semantic Search. The primary component of ML-HyKSS is a collection of linguistically grounded conceptual-model instances called extraction ontologies. Extraction ontologies can recognize keywords and applicable semantics; when coupled with cross-language mappings at the conceptual level, they enable cross-language information retrieval and query processing. Our experimental results are promising, yielding good results for cross-language information retrieval with contrasting languages, application content, and cultures.
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Published: 15 October 2012
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View all- Embley DLiddle S(2013)Big Data--Conceptual Modeling to the RescueProceedings of the 32nd International Conference on Conceptual Modeling - Volume 821710.1007/978-3-642-41924-9_1(1-8)Online publication date: 11-Nov-2013