传统搜索引擎通常靠抓取全文关键词进行分析,由此带来三大缺陷:缺乏语义描述导致查准率低;检索结果冗余模糊导致检索效率低;检索途径不足.基于DC元数据描述网络资源的优越性,课题组设计了一个基于DC元数据的网络搜索引擎系统DCSE,力图克服传统搜索引擎的上述缺陷.DCSE系统自动抓取含DC描述的Web网页,把DC描述信息存入到数据库,排序索引后提供用户检索.检索界面设计成以15个DC元素为检索项的多项逻辑组合检索,检索结果以各DC元素的描述内容来显示,如标题、创建者、描述、日期等.用户通过多项组合检索提高查准率,并通过清晰的结果显示对所需信息做出快速判断、选择,从而达到提高检索效率的目的.%The traditional search engines analyze key words that are snatched in the full text, leading to three flaws:lowly precision ratio; bad search efficiency, lacking search channel. Based on advantage of describing Web resource by DC metadata, the seminar designed a DCSE system in order to overcome flaws of traditional search engine. DCSE grasped automatically WEB page and storaged DC describe information to database that supplied for user following index. Search interface was designed as multiple logical combinations with various retrieval based on 15 DC elements, the retrieval results are displayed with discribled content of DC element, such as title, creator, description, date , etc. The user can raise the precision ratio by multiterm assemble search and can select rapidly needed information by display clearly search result,thereby raise retrieval efficiency.
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