Personal document searching method based on synonyms
A search method and technology for synonyms, applied in the field of personal information management, can solve the problems of not being able to remember the storage location and accurate keyword information, and unable to query effectively, achieving novel methods, reducing file search time, improving recall rate and accuracy. rate effect
Patent Information
- Authority / Receiving Office
- CN · China
- Current Assignee / Owner
- Publication Date
- 2013-06-26
- Estimated Expiration
- Not applicable · inactive patent
Smart Images
Figure 1 Figure 2 Figure 3
Abstract
Description
technical field
[0001] The invention relates to the field of personal information management, in particular to a method for searching personal files based on synonyms. Background technique
[0002] With the development of digital technology and the web, the amount of information people deal with increases dramatically every day, but people's attention and the time they can spend on data management remain basically the same. Therefore, personal data space management has increasingly become an important research issue. The broad definition of personal information management includes both the management of personal memory information and the management of external information. With the development of information technology, there are more and more types and forms of information resources, and the methods originally used for traditional paper information are no longer applicable. It is necessary to explore the methods of information management automation from the aspects of coll...
Examples
Embodiment 1
[0047] Below we use an example to illustrate the personal file search method based on synonyms, and illustrate the above concepts with examples.
[0048] First, the file name participle
[0049] for Figure 5In the file collection, we can get each word corresponding to the file name after passing the word segmentation tool, and we can also count the number of occurrences, such as Figure 9 As shown, this represents a user's personal desktop dictionary.
[0050] For example: based on Figure 5 Part of the user's personal desktop files shown, we can perform word segmentation on the file names, then the result after word segmentation is as follows Image 6 As shown in Table A in , each file name corresponds to each word it contains.
[0051] Second, build a keyword synonym map
[0052] Depend on Figure 9 For the words in the online dictionary website, you can get their synonyms, and after querying Image 6 In table A, does this synonym exist? If so, it can be stored in the ...