Cross-Language Hybrid Keyword and Semantic Search
| Autor: | Deryle Lonsdale, Joseph Park, David W. Embley, Stephen W. Liddle, Andrew Zitzelberger, Byung-Joo Shin |
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| Rok vydání: | 2012 |
| Předmět: |
Concept search
Information retrieval Computer science business.industry Semantic search computer.software_genre Semantics Human–computer information retrieval Primary component Semantic Web Stack Web content Artificial intelligence business computer Cross-language information retrieval Natural language processing |
| Zdroj: | Conceptual Modeling ISBN: 9783642340017 ER |
| DOI: | 10.1007/978-3-642-34002-4_15 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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