语义桌面环境下一种基于概念图的文档检索方法

语义桌面作为语义Web的一个重要分支,可以为个人计算机用户提供丰富的元数据,用以记录桌面文档的各种特征。这些特征包括文件的常规属性和与用户行为相关的属性,它们为桌面文档检索提供帮助。受到"概念图"理论的启发,本文提出了一种语义桌面环境下的文档检索算法。该算法能有效地利用语义桌面提供的元数据建立一种便于快速查找的文档索引结构,迅速地确定用户查询与桌面文档之间的投影算子。实验表明,该算法的时间效率比以往的基于匹配推理的投影算法有很大的提高,可以在很大程度上满足用户对桌面文档进行快速检索的需求。

A Document Retrieval Method Based on Conceptual Graphs in the Semantic Desktop Environment

As an important branch of semantic Web,the semantic desktop can be used to automatically extract the metadata of desktop documents when users are working with their PCs. The metadata can be used to record the characteristics of documents including the general characteristics and the characteristics related to user actions,which is helpful for retrieval. This paper provides a new document retrieval method based on conceptual graphs in the environment of semantic desktop. This new method effectively builds a document indexing structure for helping fast retrieval by using the metadata provided by the semantic desktop. According to experiments,the time performance is improved compared to the previous algorithm of the projection based on the inference process. The experimental results prove the feasibility of the approach as for retrieval time performance.