Semantically enhanced uyghur information retrieval model

被引：0

作者：

Ma, Bo ^{[1
]}

Yang, Yating ^{[1
]}

Zhou, Xi ^{[1
]}

Zhou, Junlin ^{[2
]}

机构：

[1] Research Center for Multilingual Information Technology, Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumuqi, China

[2] Xinjiang Branch of Chinese Academy of Sciences, Urumuqi, China

来源：

Journal of Software | 2012年 / 7卷 / 06期

关键词：

Search engines - Ontology - Semantics - Knowledge based systems - Information retrieval - Natural language processing systems - Semantic Web;

D O I：

10.4304/jsw.7.6.1315-1320

中图分类号：

学科分类号：

摘要：

Traditional Uyghur search engine lacks semantic information, aiming to solve this problem, a semantically enhanced Uyghur information retrieval model was proposed based on the characteristics of Uyghur language. Firstly word stemming was carried out and web pages were represented by the form of 3-triples to construct the Uyghur knowledge base, then the matching between ontologies and web pages was established by computing concept similarity and relation similarity. Semantic inverted index was built to save the association between semantic entities and web pages, and user query analysis was implemented by expanding the queries and analyzing the relations between the queries, finally by combining the benefits of both keyword-based and semantic-based methods, ranking algorithm was implemented. By comparing with the Google search engine and the Lucene based method, the experiments validate the effectiveness and the feasibility of the model preliminarily. © 2012 ACADEMY PUBLISHER.

引用

页码：1315 / 1320