CN111625570B - List data resource retrieval method and device - Google Patents
List data resource retrieval method and device Download PDFInfo
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- CN111625570B CN111625570B CN202010451107.3A CN202010451107A CN111625570B CN 111625570 B CN111625570 B CN 111625570B CN 202010451107 A CN202010451107 A CN 202010451107A CN 111625570 B CN111625570 B CN 111625570B
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- 238000013523 data management Methods 0.000 claims description 3
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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
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2457—Query processing with adaptation to user needs
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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
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/248—Presentation of query results
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
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Abstract
The invention particularly relates to a method and a device for searching list data resources. The list data resource retrieval method comprises the steps that firstly, a front-end easy UI plug-in is utilized to realize the asynchronous loading of a tree structure of data classification characteristics; then determining the data resource range corresponding to the corresponding node through a single or a plurality of data classification nodes in the loaded tree structure selected by a user; and finally, searching the data resources of the keywords in the range of the data resources, and presenting the searched data resources to the user in a list form. According to the method and the device for searching the list data resources, the searching range is reduced through the source classification of the data, and then the searching and the tracing of the data resources are carried out through the keywords, so that workers can be helped to quickly and accurately find the data required by the users, the data searching efficiency is improved, the time for searching the data resources is saved, and the energy consumption of the users is reduced.
Description
Technical Field
The present invention relates to the field of data resource retrieval technologies, and in particular, to a method and an apparatus for retrieving list data resources.
Background
With the rapid development of various fields of society at present, the number of data resources generated every day is also increased, and the total amount of the data resources is increased after a long time. The searching of data resources becomes difficult and it is difficult to trace the source of the data.
The data resource retrieval is widely applied to various industries and fields such as enterprises, government, education and the like, and the data matched with the search condition can be quickly obtained through the resource retrieval.
Based on the above situation, the invention provides a method and a device for searching list data resources.
Disclosure of Invention
The invention provides a simple and efficient list data resource retrieval method and device for overcoming the defects of the prior art.
The invention is realized by the following technical scheme:
the method and the device for searching the list data resources are characterized in that: the method comprises the following steps:
firstly, realizing asynchronous loading of a tree structure of data classification features by utilizing a front-end easy UI plug-in;
a second step of determining a data resource range corresponding to the corresponding node through a single or a plurality of data classification nodes in the loaded tree structure selected by a user;
thirdly, searching the data resources of the keywords in the data resource range;
and fourthly, presenting the searched data resources to the user in a list form.
In the first step, classified data are searched, tree-shaped display is carried out according to the hierarchical relationship of data classification from top to bottom, the hierarchical relationship between the data is clear, and data management and user understanding are easy.
In the first step, a classification catalog of the data resources is extracted according to the hierarchical category of the data system, and the classification catalog and the structural layering of the data resources are combined and arranged to form a tree diagram capable of being folded in multiple choices and displayed to a user.
In the second step, the specific steps are as follows:
(1) Keyword search
Based on the keywords input by the user, the data platform queries classified data matched with the keywords in the data resource in a fuzzy manner after the user initiates a search request, and feeds the classified data back to the user in the form of a paging list;
(2) Narrowing the search range
After the user selects the classified data matched with the keywords, the user corresponds to different data resource retrieval ranges.
In the step (1), the keyword input by the user performs query operation, that is, searches the data resource through the data platform according to the keyword to obtain the data resource matched with the keyword, where the keyword is not necessarily an accurate feature description. And carrying out fuzzy query on the data according to the keywords.
In the step (2), a search subject is defined based on classification or feature description of data, and one type of data or one type of feature corresponds to one search range, so that the search range is reduced, the search efficiency is optimized, the search time is shortened, and the search is easy for a user.
In the third step, after the user initiates the search request, the search engine searches in the data resource range corresponding to the node selected by the user, and feeds the searched data resource back to the page after paging processing in the form of a list, so that the user can find conveniently.
In the fourth step, after receiving the feedback result, the user transmits keywords in the search result to the preset joint-check information; the user can trace back the data sources according to the joint investigation information, namely, the user inquires the data display, and can drill down to check the detail data.
A list data resource retrieval apparatus, characterized in that: at least one memory and at least one processor;
the at least one memory for storing a machine readable program;
the at least one processor is configured to invoke the machine-readable program to perform the list data resource retrieval method of the present invention.
A computer readable medium characterized by: the computer readable medium has stored thereon computer instructions which, when executed by a processor, cause the processor to perform the list data resource retrieval method of the present invention.
The beneficial effects of the invention are as follows: according to the method and the device for searching the list data resources, the searching range is reduced through the source classification of the data, and then the searching and the tracing of the data resources are carried out through the keywords, so that workers can be helped to quickly and accurately find the data required by the users, the searching efficiency of massive data is improved, the time for searching the data resources is saved, and the energy consumption of the users is greatly reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of a list data resource retrieval process according to the present invention.
Detailed Description
In order to enable those skilled in the art to better understand the technical solution of the present invention, the following description will make clear and complete description of the technical solution of the present invention in combination with the embodiments of the present invention. It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
The list data resource retrieval method comprises the following steps:
firstly, realizing asynchronous loading of a tree structure of data classification features by utilizing a front-end easy UI plug-in;
a second step of determining a data resource range corresponding to the corresponding node through a single or a plurality of data classification nodes in the loaded tree structure selected by a user;
thirdly, searching the data resources of the keywords in the data resource range;
and fourthly, presenting the searched data resources to the user in a list form.
In the first step, classified data are searched, tree-shaped display is carried out according to the hierarchical relationship of data classification from top to bottom, the hierarchical relationship between the data is clear, and data management and user understanding are easy.
In the first step, a classification catalog of the data resources is extracted according to the hierarchical category of the data system, and the classification catalog and the structural layering of the data resources are combined and arranged to form a tree diagram capable of being folded in multiple choices and displayed to a user.
The data structure of the metadata is shown in table 1.
Table 1 metadata data structure
In the second step, the specific steps are as follows:
(1) Keyword search
Based on the keywords input by the user, the data platform queries classified data matched with the keywords in the data resource in a fuzzy manner after the user initiates a search request, and feeds the classified data back to the user in the form of a paging list;
(2) Narrowing the search range
After the user selects the classified data matched with the keywords, the user corresponds to different data resource retrieval ranges.
In the step (1), the keyword input by the user performs query operation, that is, searches the data resource through the data platform according to the keyword to obtain the data resource matched with the keyword, where the keyword is not necessarily an accurate feature description. And carrying out fuzzy query on the data according to the keywords.
In the step (2), a search subject is defined based on classification or feature description of data, and one type of data or one type of feature corresponds to one search range, so that the search range is reduced, the search efficiency is optimized, the search time is shortened, and the search is easy for a user.
In the third step, after the user initiates the search request, the search engine searches in the data resource range corresponding to the node selected by the user, and feeds the searched data resource back to the page after paging processing in the form of a list, so that the user can find conveniently.
In the fourth step, after receiving the feedback result, the user transmits keywords in the search result to the preset joint-check information; the user can trace back the data sources according to the joint investigation information, namely, the user inquires the data display, and can drill down to check the detail data.
The list data resource retrieval device, at least one memory and at least one processor;
the at least one memory for storing a machine readable program;
the at least one processor is configured to invoke the machine-readable program and execute the list data resource retrieval method.
Computer instructions stored on a computer readable medium, which when executed by a processor, cause the processor to perform the list data resource retrieval method.
Compared with the prior art, the method for searching the list data resources has the following characteristics:
firstly, the efficient management of the data is realized based on the characteristics of classification and feature description of the sources of the data resources;
secondly, the searching range can be narrowed by classifying the sources of the data, and the searching and tracing of the data resources are carried out by the keywords, so that the problems of difficult searching of massive data and difficult tracing of the sources are effectively solved;
thirdly, the staff is helped to quickly and accurately find the data required by the user, the data retrieval efficiency is improved, the time for searching the data resources is saved, and the energy consumption of the user is greatly reduced.
The method and the device for searching the list data resources in the embodiment of the invention are described in detail. The principles and embodiments of the present invention have been described in this section with specific examples provided above to facilitate understanding of the core concepts of the invention and all other examples obtained by one skilled in the art without departing from the principles of the invention are intended to be within the scope of the invention.
Claims (9)
1. A method and a device for searching list data resources are characterized by comprising the following steps:
firstly, realizing asynchronous loading of a tree structure of data classification features by utilizing a front-end easy UI plug-in;
a second step of determining a data resource range corresponding to the corresponding node through a single or a plurality of data classification nodes in the loaded tree structure selected by a user;
thirdly, searching the data resources of the keywords in the data resource range;
fourth, the searched data resources are presented to the user in a list form;
after receiving the feedback result, the user transmits the keywords in the search result to the preset joint-check information; the user can trace back the data sources according to the joint investigation information, namely, the user inquires the data display, and can drill down to check the detail data.
2. The list data resource retrieval method of claim 1, wherein: in the first step, classified data are searched, tree-shaped display is carried out according to the hierarchical relationship of data classification from top to bottom, the hierarchical relationship between the data is clear, and data management and user understanding are easy.
3. The list data resource retrieval method of claim 2, wherein: in the first step, a classification catalog of the data resources is extracted according to the hierarchical category of the data system, and the classification catalog and the structural layering of the data resources are combined and arranged to form a tree diagram capable of being folded in multiple choices and displayed to a user.
4. The method for retrieving list data resources according to claim 1, wherein in the second step, the specific steps are as follows:
keyword search
Based on the keywords input by the user, the data platform queries classified data matched with the keywords in the data resource in a fuzzy manner after the user initiates a search request, and feeds the classified data back to the user in the form of a paging list;
narrowing the search range
After the user selects the classified data matched with the keywords, the user corresponds to different data resource retrieval ranges.
5. A list data resource retrieval method as claimed in claim 3, wherein: in the step (1), the keyword input by the user performs query operation, that is, searches the data resource through the data platform according to the keyword to obtain the data resource matched with the keyword, where the keyword is not necessarily an accurate feature description. And carrying out fuzzy query on the data according to the keywords.
6. The list data resource retrieval method of claim 5, wherein: in the step (2), a search subject is defined based on classification or feature description of data, and one type of data or one type of feature corresponds to one search range, so that the search range is reduced, the search efficiency is optimized, the search time is shortened, and the search is easy for a user.
7. The list data resource retrieval method of claim 6, wherein: in the third step, after the user initiates the search request, the search engine searches in the data resource range corresponding to the node selected by the user, and feeds the searched data resource back to the page after paging processing in the form of a list, so that the user can find conveniently.
8. A list data resource retrieval apparatus, characterized in that: comprising the following steps: at least one memory and at least one processor;
the at least one memory for storing a machine readable program;
the at least one processor being configured to invoke the machine readable program to perform the method of any of claims 1 to 7.
9. A computer readable medium having stored thereon computer instructions which, when executed by a processor, cause the processor to perform the method of any of claims 1 to 7.
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| CN110442584A (en) * | 2019-08-19 | 2019-11-12 | 浪潮通用软件有限公司 | A method of the tree structure resource retrieval based on asynchronous load |
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| US8775413B2 (en) * | 2008-06-30 | 2014-07-08 | Teradata Us, Inc. | Parallel, in-line, query capture database for real-time logging, monitoring and optimizer feedback |
| US10956470B2 (en) * | 2018-06-26 | 2021-03-23 | International Business Machines Corporation | Facet-based query refinement based on multiple query interpretations |
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| CN1823334A (en) * | 2003-05-14 | 2006-08-23 | 塞利布罗斯有限公司 | Search engine method and apparatus |
| CN110442584A (en) * | 2019-08-19 | 2019-11-12 | 浪潮通用软件有限公司 | A method of the tree structure resource retrieval based on asynchronous load |
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