基于XTM的电子政务知识导航系统研究

2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops Pub Date : 2006-12-18 DOI:10.1109/WI-IATW.2006.111

Jiangnan Qiu, Yongxiang Yao, Yanzhang Wang, Xuehua Wang

{"title":"基于XTM的电子政务知识导航系统研究","authors":"Jiangnan Qiu, Yongxiang Yao, Yanzhang Wang, Xuehua Wang","doi":"10.1109/WI-IATW.2006.111","DOIUrl":null,"url":null,"abstract":"Against problem on current government portal navigation system is mostly based on keyword. An XTM-based e-government knowledge navigation system model was proposed, and a XTM based association and occurrences measurement mechanism is imported to the system. Especially based on analyses of topic relative semantic structure, a tree-structure semantic architecture is extracted from XTM by dividing the type of topic association. Semantics relatedness is introduced in the article to expand the second level association and calculate the degree of topic relative. The results show that the system has a good effectiveness and efficiency of navigation","PeriodicalId":358971,"journal":{"name":"2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Research on E-Government Knowledge Navigation System Based on XTM\",\"authors\":\"Jiangnan Qiu, Yongxiang Yao, Yanzhang Wang, Xuehua Wang\",\"doi\":\"10.1109/WI-IATW.2006.111\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Against problem on current government portal navigation system is mostly based on keyword. An XTM-based e-government knowledge navigation system model was proposed, and a XTM based association and occurrences measurement mechanism is imported to the system. Especially based on analyses of topic relative semantic structure, a tree-structure semantic architecture is extracted from XTM by dividing the type of topic association. Semantics relatedness is introduced in the article to expand the second level association and calculate the degree of topic relative. The results show that the system has a good effectiveness and efficiency of navigation\",\"PeriodicalId\":358971,\"journal\":{\"name\":\"2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WI-IATW.2006.111\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WI-IATW.2006.111","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 6

摘要

针对目前政府门户网站导航系统存在的问题，主要是基于关键词的导航系统。提出了一个基于XTM的电子政务知识导航系统模型，并引入了基于XTM的关联与事件度量机制。特别是在分析主题相关语义结构的基础上，通过划分主题关联类型，从XTM中提取出树状的语义体系结构。本文引入语义关联，对二级关联进行扩展，计算主题关联度。结果表明，该系统具有良好的导航效果和效率

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Research on E-Government Knowledge Navigation System Based on XTM

Against problem on current government portal navigation system is mostly based on keyword. An XTM-based e-government knowledge navigation system model was proposed, and a XTM based association and occurrences measurement mechanism is imported to the system. Especially based on analyses of topic relative semantic structure, a tree-structure semantic architecture is extracted from XTM by dividing the type of topic association. Semantics relatedness is introduced in the article to expand the second level association and calculate the degree of topic relative. The results show that the system has a good effectiveness and efficiency of navigation

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops

自引率

0.00%

发文量