CN113254600A - Database retrieval type automatic conversion strategy - Google Patents
Database retrieval type automatic conversion strategy Download PDFInfo
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- CN113254600A CN113254600A CN202110723566.7A CN202110723566A CN113254600A CN 113254600 A CN113254600 A CN 113254600A CN 202110723566 A CN202110723566 A CN 202110723566A CN 113254600 A CN113254600 A CN 113254600A
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/3331—Query processing
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
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Abstract
The invention discloses a database retrieval type automatic conversion strategy, which comprises the following steps of S1: collecting the search terms input by the user in the search bar, processing the collected data through the data processing module, transmitting the processed result to the conversion system, and S2, searching and outputting: the invention relates to the technical field of database retrieval, and discloses a method for classifying a large database retrieved by a retrieval word. The database retrieval type automatic conversion strategy can be used for different database retrieval types by arranging a conversion system, processes key retrieval words through a data processing module, and finally obtains a required output structure, so that a user provides the retrieval type of any database, the system can convert the retrieval type into the retrieval type of any other or target database, the retrieval efficiency and accuracy are greatly improved, and meanwhile, the proposal after the user uses the database can be adopted and optimized through a control terminal.
Description
Technical Field
The invention relates to the technical field of database retrieval, in particular to a database retrieval type automatic conversion strategy.
Background
The database is a warehouse for storing data; the storage space is large, and millions, millions and hundreds of millions of data can be stored; however, the database does not store data randomly, and has certain rules, otherwise, the query efficiency is low. The world is an internet world full of data, and is full of a large amount of data; namely, the internet world is a data world; the sources of data are many, such as travel records, consumption records, browsed web pages, sent messages, etc.; data is data except for text type data, and database retrieval refers to retrieval of information carried by media such as electronic documents, data, facts, images, sounds, and the like.
The prior user needs to rewrite different retrieval formulas according to different retrieval words in the process of data retrieval, and once the number of the retrieval words is large, the operation is troublesome and the problem of incomplete retrieval exists.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a database retrieval type automatic conversion strategy, which solves the problems that different databases need to rewrite retrieval types in the existing data retrieval process of a user, the number of retrieval words is large, the operation is troublesome, and the retrieval result is incomplete.
In order to achieve the purpose, the invention is realized by the following technical scheme: a database retrieval type automatic conversion strategy specifically comprises the following steps: s1, inputting a search term: collecting the search terms input by the user in the search bar, processing the collected data through the data processing module, transmitting the processed result to the conversion system, and S2, searching and outputting: classifying a large database searched by a search word, and logically assembling the characters output by the search, thereby combing the logical matching relation of the output characters, and searching through the page turning of a user, S3, searching feedback: and popping up a feedback frame according to the result after the user retrieves and the step of retrieving, acquiring the suggestion drafted by the user in the feedback frame, and transmitting the suggestion to the control terminal for repairing.
Preferably, the data acquisition in S1 is performed by a data acquisition module, and is processed by a data processing module, where the data processing module includes a data receiving unit, a data analysis unit, a data judgment unit, a data analogy unit, and a data transmission unit.
Preferably, the data receiving unit operates by transmitting data to the data processing module; the data analysis unit is used for searching the search terms in a larger range; the data judging unit is used for detecting whether the search word is input into the database or not; the data analogy unit is used for searching analogy through other database searching modes when the search word does not output a result in one database; and the data transmission unit is used for transmitting the result searched by the search word to the corresponding conversion system for outputting.
Preferably, the data judgment unit judges the collected search term, if the search term belongs to the currently used database retrieval formula, the detected data is transmitted to the data transmission unit, if the search term does not belong to the currently used database retrieval formula, the conversion system converts the search term, the data analogy unit is used for searching other database retrieval formulas until similar documents are found for the search term, if the search term and the similar documents are unrelated, the search term is returned to the retrieval formula for re-inputting, and suggestion feedback is performed through the retrieval feedback module.
Preferably, the conversion system in S1 includes a data input unit, a data conversion processor, a data conversion unit, a data retrieval unit, a data output unit, and a database matching unit.
Preferably, the data input unit is used for receiving the result output by the data processing module and transmitting the result to the data conversion processor; the data conversion processor is used for comprehensively transmitting data; the data conversion unit is used for converting the search terms from one database retrieval formula to another database retrieval formula; the data retrieval unit is used for converting the retrieval words into retrieval in a database retrieval formula, and the data output unit outputs the retrieval result after final conversion to the display unit.
Preferably, the database matching unit matches the search terms searched by the data searching unit with the database search formulas in the database matching unit, and matches the search terms with the data in the database search formulas one by one in sequence to obtain all similar results.
Preferably, the control terminal in S3 includes a data obtaining unit, a data sorting unit, a retrieval and repair unit, and a data feedback unit, where the data obtaining unit is configured to collect suggestions fed back by a retrieval user, the data sorting unit is configured to filter the collected suggestions and select beneficial data, the retrieval and repair unit is configured to apply the obtained suggestions to a retrieval formula by a technician, and the data feedback unit is configured to transmit data to a corresponding data processing module and a corresponding conversion system for use.
Advantageous effects
The invention provides a database retrieval type automatic conversion strategy. Compared with the prior art, the method has the following beneficial effects:
the database-based search-based automatic conversion strategy is implemented by inputting a search term at S1: collecting the search terms input by the user in the search bar, processing the collected data through the data processing module, transmitting the processed result to the conversion system, and S2, searching and outputting: classifying a large database searched by a search word, and logically assembling the characters output by the search, thereby combing the logical matching relation of the output characters, and searching through the page turning of a user, S3, searching feedback: the method comprises the steps of popping up a feedback frame according to a result after user retrieval and retrieval steps, acquiring suggestions written by a user in the feedback frame, transmitting the suggestions to a control terminal for repair, using a plurality of different database retrieval modes by arranging a conversion system, analyzing and comparing key retrieval words by a data processing module, and finally obtaining a required output structure, so that the user provides the retrieval mode of any database, and the system can convert the retrieval modes into the retrieval modes of other arbitrary or target databases, thereby greatly improving the retrieval efficiency and accuracy, and simultaneously adopting and implementing optimization on the suggestions used by the user by the control terminal.
Drawings
FIG. 1 is a functional block diagram of an automatic transition strategy of the present invention;
FIG. 2 is a functional block diagram of a data processing module of the present invention;
FIG. 3 is a functional block diagram of the conversion system of the present invention;
fig. 4 is a schematic block diagram of a control terminal of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-4, the present invention provides a technical solution: an automatic conversion strategy of database search type, S1, inputting search terms: collecting the search terms input by the user in the search bar, processing the collected data through the data processing module, transmitting the processed result to the conversion system, and S2, searching and outputting: classifying a large database searched by a search word, and logically assembling the characters output by the search, thereby combing the logical matching relation of the output characters, and searching through the page turning of a user, S3, searching feedback: and popping up a feedback frame according to the result after the user retrieves and the step of retrieving, acquiring the suggestion drafted by the user in the feedback frame, and transmitting the suggestion to the control terminal for repairing.
In the embodiment of the present invention, the data acquisition in S1 is performed by a data acquisition module, and the data processing module is used for processing the data, wherein the data processing module includes a data receiving unit, a data analysis unit, a data determination unit, a data analogy unit, and a data transmission unit.
In the embodiment of the invention, the data receiving unit operates by transmitting data to the data processing module; the data analysis unit is used for searching the search terms in a larger range; the data judging unit is used for detecting whether the search word is input into the database or not; the data analogy unit is used for searching analogy through other database searching modes when the search word does not output a result in one database; and the data transmission unit is used for transmitting the result searched by the search word to the corresponding conversion system for outputting.
In the embodiment of the invention, the collected search word is judged in the data judgment unit, if the search word belongs to the currently used database retrieval formula, the detected data is transmitted to the data transmission unit, if the search word does not belong to the currently used database retrieval formula, the conversion is carried out through the conversion system, other database retrieval formulas are retrieved by using the data analogy unit until similar documents are found for the search word, if the search word and the similar documents are unrelated, the search word is input again in the retrieval formula, and suggestion feedback is carried out through the retrieval feedback module.
In this embodiment of the present invention, the conversion system in S1 includes a data input unit, a data conversion processor, a data conversion unit, a data retrieval unit, a data output unit, and a database matching unit.
In the embodiment of the invention, the data input unit is used for receiving the result output by the data processing module and transmitting the result to the data conversion processor; the data conversion processor is used for comprehensively transmitting data; the data conversion unit is used for converting the search terms from one database retrieval formula to another database retrieval formula; the data retrieval unit is used for converting the retrieval words into retrieval in a database retrieval formula, and the data output unit outputs the retrieval result after final conversion to the display unit.
In the embodiment of the invention, the database matching unit matches the search words searched by the data searching unit with the database searching formulas in the database matching unit, and matches the search words with the data in the database searching formulas one by one in sequence to obtain all similar results.
In the embodiment of the present invention, the control terminal in S3 includes a data acquisition unit, a data sorting unit, a retrieval and repair unit, and a data feedback unit, where the data acquisition unit is configured to collect suggestions fed back by a retrieval user, the data sorting unit is configured to filter the collected suggestions and select beneficial data, the retrieval and repair unit is configured to apply the obtained suggestions to a retrieval formula by a technician, and the data feedback unit is configured to transmit data to a corresponding data processing module and a corresponding conversion system for use.
Specific operations therein, for example: the papers to be searched for the CAD can be expressed by the Chinese phrase "CAD" or "CAD" in English abbreviation, and the following search formulas can be formed by the conjunction of the "OR" relationship: after the computer aided design (ORCAD) inputs the retrieval conditions, the required retrieval formula can be directly corresponded, and the bibliographic list of the related documents can be inquired by pressing a query button.
In summary, by providing the conversion system, a plurality of different database search formulas can be used, and the key search terms are analyzed and analogized by the data processing module to finally obtain a required output structure, so that a user provides a search formula of any database, the system can convert the search formula into a search formula of any other or target database, the efficiency and accuracy of search are greatly improved, and meanwhile, the suggestion after the user uses the search formula can be adopted and optimized by the control terminal.
And those not described in detail in this specification are well within the skill of those in the art.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. A database retrieval type automatic conversion strategy is characterized in that: the method specifically comprises the following steps:
s1, inputting a search term: collecting the search words input by the user in the search bar, processing the collected data through the data processing module, and transmitting the processed result to the conversion system;
s2, search output: classifying a large database searched by a search word, and logically assembling the characters output by the search, so as to sort out the logical matching relation of the output characters, and searching through the page of a user;
s3, search feedback: and popping up a feedback frame according to the result after the user retrieves and the step of retrieving, acquiring the suggestion drafted by the user in the feedback frame, and transmitting the suggestion to the control terminal for repairing.
2. A database-indexing automatic conversion strategy according to claim 1, characterized by: and in the step S1, the acquisition is performed through a data acquisition module and is processed through a data processing module, wherein the data processing module comprises a data receiving unit, a data analysis unit, a data judgment unit, a data analogy unit and a data transmission unit.
3. A database-indexing automatic conversion strategy according to claim 2, characterized in that: the data receiving unit operates by transmitting data to the data processing module; the data analysis unit is used for searching the search terms in a larger range; the data judging unit is used for detecting whether the search word is input into the database or not; the data analogy unit is used for searching analogy through other database searching modes when the search word does not output a result in one database; and the data transmission unit is used for transmitting the result searched by the search word to the corresponding conversion system for outputting.
4. A database-indexing automatic conversion strategy according to claim 2, characterized in that: the data judgment unit judges the collected search words, if the search words belong to the currently used database retrieval formula, the detected data are transmitted to the data transmission unit, if the search words do not belong to the currently used database retrieval formula, the conversion is carried out through the conversion system, other database retrieval formulas are retrieved by using the data analogy unit until similar documents are found for the search words, if the search words are unrelated, the search words are returned to the retrieval formula to be input again, and suggestion feedback is carried out through the retrieval feedback module.
5. A database-indexing automatic conversion strategy according to claim 1, characterized by: the conversion system in S1 includes a data input unit, a data conversion processor, a data conversion unit, a data retrieval unit, a data output unit, and a database matching unit.
6. The database-indexing automatic conversion strategy of claim 5, wherein: the data input unit is used for receiving the result output by the data processing module and transmitting the result to the data conversion processor; the data conversion processor is used for comprehensively transmitting data; the data conversion unit is used for converting the search terms from one database retrieval formula to another database retrieval formula; the data retrieval unit is used for converting the retrieval words into retrieval in a database retrieval formula, and the data output unit outputs the retrieval result after final conversion to the display unit.
7. The database-indexing automatic conversion strategy of claim 5, wherein: the database matching unit matches the search words searched by the data searching unit with the database searching formulas in the database matching unit, and matches the search words with the data in the database searching formulas one by one in sequence to obtain all similar results.
8. A database-indexing automatic conversion strategy according to claim 1, characterized by: the control terminal in S3 includes a data acquisition unit, a data sorting unit, a retrieval and repair unit, and a data feedback unit, where the data acquisition unit collects suggestions fed back by a retrieval user, the data sorting unit is used to filter the collected suggestions and select beneficial data, the retrieval and repair unit is used to apply the obtained suggestions to a retrieval formula by a technician, and the data feedback unit is used to transmit data to a corresponding data processing module and a corresponding conversion system for use.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110723566.7A CN113254600A (en) | 2021-06-29 | 2021-06-29 | Database retrieval type automatic conversion strategy |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202110723566.7A CN113254600A (en) | 2021-06-29 | 2021-06-29 | Database retrieval type automatic conversion strategy |
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| CN113254600A true CN113254600A (en) | 2021-08-13 |
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| CN202110723566.7A Withdrawn CN113254600A (en) | 2021-06-29 | 2021-06-29 | Database retrieval type automatic conversion strategy |
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