摘要
本文以语义Web中基于数据综合的应用为背景，提出了一种由本体论提供语义支持的智能搜索模型SMBDI．给出了该模型在底层数据综合、用户界面及查询处理等方面的实施策略。模型分析表明，该模型可以解决目前搜索方式存在的结果不完整或冗余度过高、存在大量无用信息以及数据格式不统一等问题，为语义Web在搜索及查询方面的应用提供了一种新的实现方案。
Based on the application of the data integration in semantic web, we propose an intelligent search model（SMBDI） supported by ontology in this paper, and present several implement methods on integration, user interface and query processing of this model. The analysis of this model shows that it can solve some problems existing in current search methods, such as half-baked answer or redundant answer, a great deal of hash, conflicting data pattern and so on. The contribution of this paper is to offer a new scheme for searching or querying in semantic web,
出处
《通讯和计算机（中英文版）》
2005年第6期48-54,共7页
Journal of Communication and Computer
基金
本文研究得到广西“新世纪十百千人才工程”专项（桂人宇2001213号）
广西自然科学基金项目（桂科自0229008）联合资助.
