Web资源的多粒度语义标注及其应用技术研究

当前的Web搜索引擎获得的搜索结果都是基于关键字标注的Web文档、页面或链接，不支持对文档内部信息的检索。为支持Wcb资源内部信息的检索，研究多粒度语义标注，即按树根结点、分支结点、叶子结点及资源信息元为粒度单位对Web资源进行组织管理，并在此基础上探讨基于本体的搜索技术。初步的分析和实验表明，这样可以提高从形式多样的海量Web资源中获取所需信息的效率。

Research on the Multi-granularity Semantic Annotation of Web Resource and its Application Technology

The search results from the present Web search engine arc all the Web files, Web pages or the links annotated based on keywords,and it does not support the inner information searcheding of these files. In order to support the inner searching of a file, it researched on the multi-granularity semantic annotation of Web resource, which named the root node, the branch node, the leaf node and the resource information metadata, to manage the Web resource. Based on it, it also researched the searching technology based on ontology, and by the primary experiment and analyses, it shows that it can enhance the efficiency of searching and getting information data from the multiform and great deal of Web resources.