Name
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-34002-4_15 | ER |
Keywords | Field | DocType |
cross-language information retrieval,multilingual hybrid keyword,data-rich web content,extraction ontology,cross-language hybrid keyword,multilingual web content,semantic search,conceptual level,cross-language mapping,applicable semantics,application content | Ontology (information science),Human–computer information retrieval,Information retrieval,Semantic Web Stack,Semantic search,Computer science,Artificial intelligence,Natural language processing,Web content,Concept search,Cross-language information retrieval,Semantics | Conference |
Citations | PageRank | References |
2 | 0.41 | 10 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| David W. Embley | 1 | 1915 | 480.08 |
| Stephen W. Liddle | 2 | 2 | 0.41 |
| Deryle W. Lonsdale | 3 | 101 | 11.15 |
| Joseph S. Park | 4 | 4 | 3.87 |
| Byung-Joo Shin | 5 | 2 | 0.41 |
| Andrew J. Zitzelberger | 6 | 2 | 0.41 |