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An Ontology-based Semantic Retrieval Model for Uyghur Search Engine
Ma Bo; Yang Yating; Zhou Xi; Zhou Junlin
2010
Conference Name2010 IEEE 2nd Symposium on Web Society, SWS 2010
Source PublicationProceedings - 2010 IEEE 2nd Symposium on Web Society, SWS 2010
Pages191-196
Conference DateAugust 16, 2010 - August 17, 2010
Conference PlaceBeijing, China
Publication PlaceUnited States
Abstract

In recent years, semantic search has been successfully used for information retrieval, however, it is still in the early stage, and there is not semantic search engine for minorities in China. In this paper, we propose a semantic retrieval model which is comprised of resources collection, semantic annotation, query analysis and results ranking. For semantic annotation, we use domain ontology and two bilingual dictionaries to extract keywords for annotation. For query analysis, we present a method which combines lexical relationship and semantic relationship to analyse user's query. And for results ranking, we propose a modulative method that ranks results based on how predictable a result might be for users, which is a blend of semantic and informationtheoretic techniques. The preliminary experimental results show the capability of the proposed model to boost the precision and recall rates of webpage searching. © 2010 IEEE.

Indexed ByEI
Document Type会议论文
Identifierhttp://ir.xjipc.cas.cn/handle/365002/2328
Collection多语种信息技术研究室
Recommended Citation
GB/T 7714
Ma Bo,Yang Yating,Zhou Xi,et al. An Ontology-based Semantic Retrieval Model for Uyghur Search Engine[C]. United States,2010:191-196.
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