JOURNAL ARTICLE

Chinese-English Cross-Lingual Information Retrieval based on Domain Ontology Knowledge

Abstract

For improving the effectiveness of cross-lingual information retrieval (CLIR), a domain ontology knowledge based method is presented to apply to C-E CLIR. In this study, the domain ontology knowledge is acquired from both source language user queries and target documents to select target translation and re-rank initial retrieval documents set. The C-E CLIR dataset from NTCIR-4 Workshop is used to evaluate the effectiveness of this method. Different from previous works, we make use of source language user queries in total C-E CLIR and compared with previous works, this method improved the precision

Keywords:
Computer science Information retrieval Ontology Domain (mathematical analysis) Rank (graph theory) Cross-language information retrieval Natural language processing Set (abstract data type) Artificial intelligence Query expansion

Metrics

6
Cited By
0.39
FWCI (Field Weighted Citation Impact)
12
Refs
0.70
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Semantic Web and Ontologies
Physical Sciences →  Computer Science →  Artificial Intelligence
Information Retrieval and Search Behavior
Physical Sciences →  Computer Science →  Information Systems
Web Data Mining and Analysis
Physical Sciences →  Computer Science →  Information Systems

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