Authors: Andrew J. Zitzelberger, Byung-Joo Shin, David W. Embley, Deryle W. Lonsdale, Joseph S. Park, Stephen W. Liddle
Tags: 2012, conceptual modeling
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.Read the full paper here: https://link.springer.com/chapter/10.1007/978-3-642-34002-4_15
