CN103559305A - Document searching system and method - Google Patents
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- CN103559305A CN103559305A CN201310578323.4A CN201310578323A CN103559305A CN 103559305 A CN103559305 A CN 103559305A CN 201310578323 A CN201310578323 A CN 201310578323A CN 103559305 A CN103559305 A CN 103559305A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/13—File access structures, e.g. distributed indices
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/14—Details of searching files based on file metadata
- G06F16/148—File search processing
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Abstract
A document searching system and a document searching method are suitable for searching documents in local storage media. The full-text index features of multiple documents in the local storage media are established according to keywords. The associated features of each document are generated on the basis of the operation carried out on at least two documents or at least two step operations carried on one document. The sequence of documents corresponding to the searching results is generated according to the full-text index features and the associated features.
Description
Technical field
The present invention is relevant for a kind of file fine system and method thereof, particularly relevant for a kind of file fine system and method thereof for a local computing or a local medium.
Background technology
In this age of knowledge explosion, people usually can, via computer or network, store or process many files or data.In the face of these huge electronic data, how effectively to hunt out the required part of user, becoming is the frequent operation of computer or network user.For the operation of searching, be divided into two large classes at present, the one, Web search engine, another is table-board search.Web search engine is to search for the web page contents on world-wide web or file, by Web Spider (web spider), capture content, and come reconstruct these contents of index by specific algorithm, in addition can be in conjunction with some ordering techniques, such as page rank technology (page ranking) sorts for search result, then present to user.Well-known Web search engine comprises: Google, Yahoo, Baidu etc.
Yet table-board search, for the file in local computing (local computer) or local medium (local storage medium), search, these files comprise Email, word shelves, Office document file, the temporary shelves of browser etc.More well-known Related product comprises: file fine device, Google Desktop Search, Yahoo Widget Engine etc. that Microsoft's Windows operating system is built-in.Because the function of the built-in file fine device of Microsoft's Windows operating system is perfect gradually, so the companies such as Google and Yahoo exited gradually this field after 2011.Yet the file fine device that Microsoft is built-in, still only searches for the correlativity of file content and key word, can not meet user's demand completely.For instance, when user forgets key word or key word cannot be provided accurately, will cause the puzzlement on file fine.
Summary of the invention
One of viewpoint of the present invention is exactly to be to provide a kind of file fine system and method thereof, can, simultaneously with reference to the correlativity of file and key word, with user's frequent behavior, search, so that better search result to be provided.
Another viewpoint of the present invention is to provide a kind of file fine system and method thereof exactly, adds user to the behavior record of file operation and analysis, so that the search result that more approaches user's demand to be provided.
A viewpoint more of the present invention is to provide a kind of file fine system and method thereof exactly, when forgeing key word or key word cannot be provided accurately for user, still can provide search result, and favourable user revises key word, searches more accurately.
According to above-mentioned viewpoint of the present invention, a kind of document searching method is proposed, be applied to a local medium, local medium stores a plurality of files, and a user can be searched file.Document searching method comprises: the relation by the content of each file for a plurality of key words, produces a file full-text index feature of corresponding each file, and be stored in respectively a search database.When user carries out an operation at least two files in file, or when to described these files, one of them carries out at least two operations, store the number of times of this operation and this operational correspondence in searching database, and produce respectively the linked character between each file, and be stored in search database.When user inputs a search key word, according to the file full-text index feature and the relation of searching key word of searching in database, produce one first search result, and according to linked character and first search result of searching in database, produce one second search result.Integrate the first search result and the second search result, to produce a corresponding sequence of searching the partial document of key word.
According to some embodiment of the present invention, a plurality of files comprise word shelves, mail shelves, the temporary shelves of browser, and document file.And user comprises the operation of file: open, store, switch, search, copy, paste and link.Linked character comprises the operation of user to this two file, with for this operation, the temporal correlation between two files forms.And property time correlation comprises: time sequencing and the time interval.
According to some embodiment of the present invention, the method that produces the file full-text index feature of corresponding each file comprises: utilize a word frequency-reverse document frequency algorithm, calculate the content of each file for the relation of a plurality of key words.
According to some embodiment of the present invention, wherein produce the linked character of each file, all operations carrying out for a plurality of files by recording user, obtains to carry out a correlation analysis.And correlation analysis is for regularly, irregularly or immediately carry out.
According to some embodiment of the present invention, the first search result wherein, except searching file full-text index feature in database according to this and searching the relation of key word, also comprises according to searching the weight of key word in file full-text index feature and producing.And integrate the step of the first search result and the second search result, more comprise a weight set-up procedure.
According to above-mentioned viewpoint of the present invention, propose a kind of file fine system, comprising: a local medium, a load module, a transcript analysis module, an association analysis module, are searched database, one first search module, one second search module, an integrate module and an output module.Local medium stores a plurality of files, and load module is suitable for receiving a search condition of user's input.Transcript analysis module, in order to the relation for a plurality of key words by the content of each file, produces a file full-text index feature of corresponding each file.Association analysis module is in order to carry out an operation as user at least two files in a plurality of files or one of them carries out at least two whens operation to described these files, record the number of times of this operation and this operational correspondence, and produce respectively a linked character of each file.Search database and be stored in local medium, and comprise: the file full-text index feature of each file, the relative recording of this operation and linked character.The first search module is suitable for according to search condition, and the file full-text index feature in search database and the relation of search condition, produce one first search result; And the second search module is suitable for, according to linked character and first search result of searching in database, producing one second search result.Integrate module is integrated the first search result and the second search result, and to produce a sequence of the partial document of corresponding search condition, and output module is in order to show this sequence.
According to some embodiment of the present invention, wherein the method for the file full-text index feature of corresponding each file of transcript analysis module generation comprises: utilize a word frequency-reverse document frequency algorithm, calculate the content of each file for the relation of a plurality of key words.
According to some embodiment of the present invention, wherein association analysis module more comprises: module, all operations carrying out for file in order to record user are collected in user's behavior; And user's behavioural analysis module, for user's behavior, collect the content that module records and carry out a correlation analysis, and produce linked character.And correlation analysis is for regularly, irregularly or immediately carry out.
According to some embodiment of the present invention, the first search module wherein, except according to the relation of the file full-text index feature in this search database and search condition, also comprise the weight in file full-text index feature according to search condition, and produce the first search result.
According to some embodiment of the present invention, wherein integrate module also comprises that a weight adjusting module is in order to adjust the weight between the first search result and the second search result.
By file fine system of the present invention and method thereof, record user for the operation of file, to set up the linked character between each file, can be simultaneously during search with reference to the correlativity of file and key word, with linked character, so that better search result to be provided.
By file fine system of the present invention and method thereof, for user, to the behavior record of file operation and analysis, in search result sequence, considered the relevance between file, the search result that more approaches user's demand can be provided.
By file fine system of the present invention and method thereof, when even user forgets key word or key word cannot be provided accurately, by the search of linked character, still can provide search result, and provide the search result sequence that approaches actual key most, favourable user revises key word accordingly, then searches more accurately.
Accompanying drawing explanation
Fig. 1 illustrates according to one embodiment of the invention, a kind of calcspar of file fine system;
Fig. 2 illustrates according to one embodiment of the invention, a kind of process flow diagram of document searching method;
About advantage of the present invention, spirit and feature, will, with embodiment and with reference to appended graphic, be elaborated and discuss.It should be noted that for the present invention can be easier to understand, accompanying graphic be only schematic diagram, relative dimensions not illustrates with actual ratio.
[symbol description]
100: the calcspar of file fine system
110: local medium
112: file
114: search database
116: operation note
118: linked character
120: file full-text index feature
122: load module
124: this paper analysis module
126: association analysis module
128: module is collected in user's behavior
130: user's behavioural analysis module
132: the first search module
134: the second search module
136: integrate module
138: output module
140: weight adjusting module
200: the process flow diagram of document searching method
210: learning phase
212,214: step
220: the search stage
222,224,226,228: step
Embodiment
In order to allow advantage of the present invention, spirit and feature can be more easily and be expressly understood that, follow-up will be with embodiment and with reference to appended graphic detailed description and discussion.It should be noted that these embodiment are only the representational embodiment of the present invention, the ad hoc approach wherein given an example, device, condition and material etc. are not in order to limit the present invention or corresponding embodiment.
Referring to Fig. 1 and Fig. 2, Fig. 1 illustrates according to one embodiment of the invention, square Figure 100 of a kind of file fine system; Fig. 2 illustrates according to one embodiment of the invention, flow process Figure 200 of a kind of document searching method.File fine system and method for the present invention is established in local computing (local computer) or local medium (local storage medium), can provide user to search for these local files.Local computing comprises a PC or server etc., and wherein at least comprises a local medium 110; Local medium 110 is such as being hard disk (hard disk), solid state hard disc (SSD) or disk array (RAID) etc.User is in local medium 110, can store all multifiles 112, such as by mounting software, foundation/editing files, from other medium xcopies or from world-wide web download file etc., all can produce all multifiles 112 and storage or be temporary in local medium 110.These files 112 comprise the temporary shelves of Email, word shelves, Office document file and browser etc.
Document searching method of the present invention was mainly divided into for two megastages, and one is that learning phase 210, is the search stage 220.At learning phase 210, be mainly to be undertaken by this paper analysis module 124 and association analysis module 126.User for the key word search of file 112, can be undertaken by a load module 122 usually, and load module 122 is such as being keyboard, contact panel or voice input module etc., such as input key word " Inventec Appliances ", to search Inventec Appliances associated documents.Analysis module 124 can connect the key word in these search activities and file 112 herein, and set up a file full-text index feature 120 for each file 112, and be stored in the search database 114 in local medium 110 that is the step 212 in Fig. 2.Yet the content recording in file full-text index feature 120 includes but not limited to the relation of key word and file content, and the weight of key word in file, frequency occurring hereof such as key word etc.For instance, the file full-text index feature 120 of certain file 112 may record " Inventec Appliances ”Yu“ Inventec " two key words, and the number of times of these two key words appearance.Although yet technology of the present invention is the search for local file, the foundation of file full-text index feature 120 in learning phase 210, also can be for user when carrying out world-wide web search, the key word of inputting records and analyzes.
In certain embodiments of the present invention, the method that produces file full-text index feature 120 can adopt word frequency-reverse document frequency algorithm (term frequency – inverse document frequency, TF-IDF), as the parameter in file full-text index feature 120.Wherein word frequency refers to the frequency that special key words occurs hereof, i.e. the ratio of key word occurrence number and total number of word.Reverse file is the tolerance of key word general importance frequently, be by total files divided by the number of files that comprises this key word, business's value of taking the logarithm of gained and obtaining.Above-mentioned word frequency and reverse document frequency are multiplied each other, as one of parameter in file full-text index feature.
For example, the example that is operating as that we open (open), storage (save), switch (goto), search (search) for file with user.For the file of key word search result, linked character that should reference comprises:
The file that (latest) opens, stores recently, switches or search recently recently recently.
When opening the laggard line search of a certain file.
After opening a certain file, switch to another file.
The occurrence frequency of opening, storing, switch, search.
Two files are opened simultaneously, store, switch, are searched.
Above-mentioned these linked characters all should affect the sequence between key word search result file.For instance, if user searches key word A, and want that the file of looking for is that he is when writing mail, once with reference to the related data of key word A in certain file.Search so except for key word A, should have after the mail shelves of key word A with reference to unlatching, the file of opening or opening or switch subsequently simultaneously, this linked character should affect the sequence of search result.If key word A search result has file B, C, D and E, and wherein B is mail shelves, and for the linked character with B, the frequency that discovery D opens with B is simultaneously relative high, and search result should be take D as preferential.Certainly, if user can except input key condition, also can input some linked character conditions when searching, system of the present invention can further be searched for this linked character certainly.Yet user is fuzzy maybe cannot determine time often for linked character in practice, system of the present invention is that the number of times or the frequency that for linked character, occur go to adjust search result.For instance, if have F, G, H, I and five files of J for key word search result, yet for the linked character of searching in database, find that the linked character record of I file and other four files is many especially, the search result sequence of I file can be adjusted forward.
Therefore, file fine System and method for of the present invention is searched in the stage 220 in subordinate phase, also can be divided into two parts.When user is by load module 122, input search condition, such as being key word and/or linked character, the i.e. step 222 of Fig. 2.In certain embodiments of the invention, the first search module 132, can, according to searching file full-text index feature 120 in database 114, search with respect to the key word of input, and produce the first search result (Fig. 2 step 224).Then, the second search module 134, linked character 118 and the first search result according to searching in database 114, produce one second search result (Fig. 2 step 226).If user has input linked character, directly for linked character, search, and produce the second search result.If user does not input linked character, can be according in the first search result, the number of times of each file association feature 118 or frequency, produce the second search result accordingly.Integrate module 136 is integrated the first search result and the second search result, and produces the file sequence (Fig. 2 step 228) of search result, and offers user's reference by output module 138.Output module 138 is such as being display or voice output module etc.Yet, when 136 of integrate modules are integrated the first search result and the second search result, namely integrate key word search result and linked character search result, can, according to demand by weight adjusting module 140, adjust the weight of the first search result and the second search result.Certainly, the weight allocation in weight adjusting module 140 can obtain in user's behavioural analysis.For example, the linked character type that the each user of monitoring statistics searches rear institute file opening, to adjust the weight of the type.
For example, in certain embodiments of the present invention, according to the search condition of key word a, the first search module 132, the file sequence producing according to file full-text index feature 120 is classified A, B, C, D and E (the first search result) as, and the file sequence that the second search module 134 produces according to linked character 118 is classified B, C, A, E, D, F and G as, wherein file F with G for to there is relative high linked character with file C and A, and after integrate module 136 is integrated, file sequence may be B, A, C, E, D, F and G (linked character weight is lower).Can find in this embodiment, by file fine System and method for of the present invention, can find out and not have a key word, but very high file F and the G of relevance.When the key word of inputting as user is inaccurate or fuzzy, can find possible key word to be present in file F and G by this mode, user can adjust search condition accordingly.
It should be noted that in certain embodiments of the present invention, the operation of the first search module 132 and the second search module 134 can independently be carried out, and to integrate module 136, integrates again.In addition, the generation of linked character is not limited to the associated record for two files or two operation rooms, can be also the associated record of a plurality of files or a plurality of operation rooms.Haveing the knack of this skill person should know, above-mentioned by the linked character between user's operation behavior generation file, to adjust search result, wherein linked character can have other many variations, combination, so all should be contained in spirit of the present invention and scope.
In sum, by file fine system of the present invention and method thereof, record user for the operation of file, to set up the linked character between each file, can be simultaneously during search with reference to the correlativity of file and key word, with linked character, so that better search result to be provided.File fine system of the present invention and method thereof, to the behavior record of file operation and analysis, considered the relevance between file and operation for user in search result sequence, the search result that more approaches user's demand can be provided.And by file fine system of the present invention and method thereof, when even user forgets key word or key word cannot be provided accurately, by the search of linked character, still can provide the search result that relevance is high, and provide the search result sequence that approaches actual key most, favourable user revises key word accordingly, then searches more accurately.
By the above detailed description of preferred embodiments, hope can be known description feature of the present invention and spirit more, and not with above-mentioned disclosed preferred embodiment, category of the present invention is limited.On the contrary, its objective is that hope can contain in the category of the scope of the claims of being arranged in of various changes and tool equality institute of the present invention wish application.Although the present invention discloses as above with embodiment; so it is not in order to limit the present invention, and any those skilled in the art, within not departing from the spirit and scope of this creation; when being used for a variety of modifications and variations, so protection scope of the present invention is when being as the criterion of defining depending on accompanying claim.
Claims (18)
1. a document searching method, is applied to a local medium, and this this locality medium stores a plurality of files, and a user can be searched described these files, and this document method for searching comprises:
The content of these files described in each of relation by to(for) a plurality of key words, produces a corresponding file full-text index feature of these files described in each, and is stored in respectively a search database;
When this user carries out an operation at least two files in described these files or one of them carries out at least two whens operation to described these files, store the number of times of this operation and this operational correspondence and search database in this, and produce respectively a linked character of these files described in each, and be stored in this search database;
When this user inputs a search key word, according to described these file full-text index features in this search database and this, search the relation of key word, produce one first search result, and according to this, search described these linked characters and this first search result in database, produce one second search result; And
Integrate this first search result and this second search result, to produce searching a sequence of these files described in the part of key word.
2. document searching method as claimed in claim 1, it is characterized in that, produce corresponding described in each the method for this document full-text index feature of these files comprise: utilize a word frequency-reverse document frequency algorithm, calculate the content of these files described in each for the relation of described these key words.
3. document searching method as claimed in claim 1, is characterized in that, this user comprises this operation of described these files: open, store, switch, search, copy, paste and link.
4. document searching method as claimed in claim 3, is characterized in that, this linked character comprises this user this operation to this two file, with for this operation, the temporal correlation between this two file forms.
5. document searching method as claimed in claim 4, is characterized in that, this property time correlation comprises: time sequencing and the time interval.
6. document searching method as claimed in claim 1, is characterized in that, produces this linked character of these files described in each, is all described these operations of carrying out for described these files by recording user, to carry out a correlation analysis, obtains.
7. document searching method as claimed in claim 6, is characterized in that, this correlation analysis is for regularly, irregularly or immediately carry out.
8. document searching method as claimed in claim 1, it is characterized in that, this first search result, except searching according to this relation of described these file full-text index features in database and this search key word, also comprise the weight in described these file full-text index features according to this search key word and produce.
9. document searching method as claimed in claim 1, is characterized in that, integrates the step of this first search result and this second search result, more comprises a weight set-up procedure.
10. a file fine system, comprising:
One local medium, this this locality medium stores a plurality of files;
One load module, is suitable for receiving the search condition that a user inputs;
One transcript analysis module, in order to the relation for a plurality of key words by the content of these files described in each, produces a corresponding file full-text index feature of these files described in each;
One association analysis module, in order to carry out an operation as this user at least two files in described these files or one of them carries out at least two whens operation to described these files, record the number of times of this operation and this operational correspondence, and produce respectively a linked character of these files described in each;
One searches database, is stored in this this locality medium, and this search database comprises: this document full-text index feature of these files described in each is, relative recording and this linked character of this operation;
One first search module, is suitable for according to this search condition, and described these file full-text index features in this search database and the relation of this search condition, produce one first search result;
One second search module, is suitable for, according to described these linked characters in this search database and this first search result, producing one second search result;
One integrate module, integrates this first search result and this second search result, to produce the sequence to these files described in should the part of search condition; And
One output module, in order to show at least this sequence.
11. file fine systems as claimed in claim 10, it is characterized in that, this transcript analysis module produce corresponding described in each the method for this document full-text index feature of these files comprise: utilize a word frequency-reverse document frequency algorithm, calculate the content of these files described in each for the relation of described these key words.
12. file fine systems as claimed in claim 11, is characterized in that, this user comprises this operation of described these files: open, store, switch, search, copy, paste and link.
13. file fine systems as claimed in claim 12, is characterized in that, this linked character comprises user's this operation to this two file, and the temporal correlation operating between this two file for this forms.
14. file fine systems as claimed in claim 13, is characterized in that, this property time correlation comprises: time sequencing and the time interval.
15. file fine systems as claimed in claim 10, is characterized in that, this association analysis module more comprises:
Module is collected in one user's behavior, all described these operations of carrying out for described these files in order to record this user; And
One user's behavioural analysis module, the content recording for this user's behavior collection module is carried out a correlation analysis, and produces described these linked characters.
16. file fine systems as claimed in claim 15, is characterized in that, this correlation analysis is for regularly, irregularly or immediately carry out.
17. file fine systems as claimed in claim 10, it is characterized in that, this first search module, except searching according to this relation of described these file full-text index features in database and this search condition, also comprise the weight in described these file full-text index features according to this search condition, and produce this first search result.
18. file fine systems as claimed in claim 10, is characterized in that, this integrate module also comprises that a weight adjusting module is in order to adjust the weight between this first search result and this second search result.
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| CN201310578323.4A CN103559305B (en) | 2013-11-18 | 2013-11-18 | File fine system and method |
| TW103102635A TWI518531B (en) | 2013-11-18 | 2014-01-24 | System of file searching and method thereof |
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| CN201310578323.4A CN103559305B (en) | 2013-11-18 | 2013-11-18 | File fine system and method |
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| CN103559305B CN103559305B (en) | 2017-06-09 |
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| CN201310578323.4A Active CN103559305B (en) | 2013-11-18 | 2013-11-18 | File fine system and method |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106708913A (en) * | 2015-11-12 | 2017-05-24 | 财团法人资讯工业策进会 | Intelligent product storage system and method thereof |
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| CN1677609A (en) * | 2004-03-11 | 2005-10-05 | 东芝北斗电子株式会社 | Magnetron for microwave oven |
| CN101599069A (en) * | 2009-07-10 | 2009-12-09 | 腾讯科技（深圳）有限公司 | The searching method of electronic document and system |
| US20110270845A1 (en) * | 2010-04-29 | 2011-11-03 | International Business Machines Corporation | Ranking Information Content Based on Performance Data of Prior Users of the Information Content |
| CN103198136A (en) * | 2013-04-15 | 2013-07-10 | 天津理工大学 | Sequence-association-based query method for personal computer files |
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- 2013-11-18 CN CN201310578323.4A patent/CN103559305B/en active Active
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN1677609A (en) * | 2004-03-11 | 2005-10-05 | 东芝北斗电子株式会社 | Magnetron for microwave oven |
| CN101599069A (en) * | 2009-07-10 | 2009-12-09 | 腾讯科技（深圳）有限公司 | The searching method of electronic document and system |
| US20110270845A1 (en) * | 2010-04-29 | 2011-11-03 | International Business Machines Corporation | Ranking Information Content Based on Performance Data of Prior Users of the Information Content |
| CN103198136A (en) * | 2013-04-15 | 2013-07-10 | 天津理工大学 | Sequence-association-based query method for personal computer files |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106708913A (en) * | 2015-11-12 | 2017-05-24 | 财团法人资讯工业策进会 | Intelligent product storage system and method thereof |
| CN106708913B (en) * | 2015-11-12 | 2020-03-27 | 财团法人资讯工业策进会 | Intelligent product storage system and method thereof |
Also Published As
| Publication number | Publication date |
|---|---|
| TW201520789A (en) | 2015-06-01 |
| CN103559305B (en) | 2017-06-09 |
| TWI518531B (en) | 2016-01-21 |
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