Personal computer resource management system based on body

Abstract

The invention discloses a personal computer resource management system based on a body, which is applied to personal computer resource management. The personal computer resource management system is characterized by comprising four modules, namely, a semantic information extraction module, a semantic information memory module, an information inquiry module and a semantic information visualization module; in addition, storage is performed in a centralized manner; information resources and relative metadata are extracted and converted, various types of information which is discrete in a desktop system can be converted to RDF (Resource Description Framework) metadata information based on a unified semantic reference, and then the RDF metadata information is stored in an XML / RDF(Xtensible Markup Language / Resource Description Framework) document in a centralized manner. Compared with the prior art, the personal computer resource management system changes a resource management mode based on catalogs in a personal computer at present, can effectively manage the organization and the search of heterogeneous information sources, and can improve the efficiency of the organization and the search of the resources.

Description

technical field [0001] The invention relates to computer information resource management technology, in particular to a personal computer resource management system combining semantic web technology with a computer desktop system. Background technique [0002] With the progress of the times and the development of society, the traditional personal computer resource management methods can no longer meet the actual needs of users. There are three main problems: [0003] (1) As the hard disk capacity of personal computers is getting larger and the information resources stored are more and more abundant, it takes a lot of time and energy to find and locate the required resource files, and sometimes it may fail. [0004] (2) The directory does not fully reflect the classification structure of resources or files. For example: when a file has multiple categories semantically, it is impossible to classify it in a simple directory. [0005] (3) Different files may be implemented by ...

AI Technical Summary

Problems solved by technology

[0003] (1) As the capacity of the hard disk of the personal computer is getting larger and the stored information resources are becoming more and more abundant, it takes a lot of time and energy to find and locate the required resource files, and sometimes it may fail

[0004] (2) The directory does not fully reflect the classification structure of resources or files

[0005] (3) Different files may be implemented by different applications, and resource files cannot break through the boundaries of applications to associate in the computer

That is, it cannot effectively support information sharing and integration across application boundaries between different types, different data formats, and different applications

[0006] Moreover, to sum up, such a resource management method makes the current desktop search based on the file name, and the search results often fail to satisfy users.

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