CN111625570A - List data resource retrieval method and device - Google Patents

List data resource retrieval method and device Download PDF

Info

Publication number
CN111625570A
CN111625570A CN202010451107.3A CN202010451107A CN111625570A CN 111625570 A CN111625570 A CN 111625570A CN 202010451107 A CN202010451107 A CN 202010451107A CN 111625570 A CN111625570 A CN 111625570A
Authority
CN
China
Prior art keywords
data
user
search
classification
list
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202010451107.3A
Other languages
Chinese (zh)
Other versions
CN111625570B (en
Inventor
段诗瑶
臧德波
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Inspur General Software Co Ltd
Original Assignee
Shandong Inspur Genersoft Information Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shandong Inspur Genersoft Information Technology Co Ltd filed Critical Shandong Inspur Genersoft Information Technology Co Ltd
Priority to CN202010451107.3A priority Critical patent/CN111625570B/en
Publication of CN111625570A publication Critical patent/CN111625570A/en
Application granted granted Critical
Publication of CN111625570B publication Critical patent/CN111625570B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2457Query processing with adaptation to user needs
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/248Presentation of query results
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00Energy efficient computing, e.g. low power processors, power management or thermal management

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The present invention relates to a method and an apparatus for searching list data resources. The list data resource retrieval method comprises the steps of firstly utilizing a front-end easy UI plug-in to realize tree structure asynchronous loading of data classification characteristics; then determining a data resource range corresponding to a 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 data resource range, 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 firstly reduced through the source classification of the data, then the data resources are searched and traced through the key words, the data required by the user can be quickly and accurately found by the staff, the data searching efficiency is improved, the time for searching the data resources is saved, and the energy consumption of the user is reduced.

Description

List data resource retrieval method and device
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
At present, with the rapid development of various social fields, the quantity of data resources generated every day is gradually increased, and the total quantity of the data resources is more and more huge after a long time. The search of data resources becomes difficult and it is difficult to trace back the source of the data.
The data resource retrieval is widely applied to various industries and fields of enterprises, governments, education and the like, and data matched with the search conditions 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
In order to make up for the defects of the prior art, the invention provides a simple and efficient list data resource retrieval method and device.
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, implementing tree structure asynchronous loading of data classification characteristics by using a front-end easy UI plug-in;
secondly, determining a data resource range corresponding to a 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 relation of data classification from top to bottom, the hierarchical relation among the data is clear, and data management and user understanding are facilitated.
In the first step, the classification catalogues of the data resources are extracted according to the hierarchical categories of the data system, and the data resources are combined and arranged according to the data resource classification and the structural hierarchy to form a tree diagram which can be folded in a multi-choice mode and displayed to a user.
In the second step, the specific steps are as follows:
(1) keyword search
Based on keywords input by a user, after the user initiates a search request, the data platform fuzzily queries classification data matched with the keywords in data resources, and feeds the classification data back to the user in a paging list form;
(2) narrowing the search
After the user selects the classification data matched with the keywords, the classification data corresponds to different data resource retrieval ranges.
In the step (1), the keywords input by the user are subjected to query operation, that is, the data resources are searched through the data platform according to the keywords to obtain the data resources matched with the keywords, and the keywords do not need to be accurate feature descriptions. And carrying out fuzzy query on the data according to the keywords.
In the step (2), the search subject is defined based on the classification or feature description of the data, and one type of data or one type of feature corresponds to one search range, so that the search range is narrowed, the search efficiency is optimized, the search time is shortened, and the search by a user is facilitated.
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 performs paging processing on the searched data resources in a list form and feeds the paged data resources back to the page, so that the user can search conveniently.
In the fourth step, after receiving the feedback result, the user transmits the keywords in the search result to the joint check information configured in advance; the user can trace back the data source according to the joint inspection information, namely the user inquires data display, and can drill down to check detailed data.
A list data resource retrieval apparatus characterized by: at least one memory and at least one processor;
the at least one memory to store a machine readable program;
the at least one processor is configured to invoke the machine readable program to perform the tabular 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 tabular data resource retrieval method of the present invention.
The invention has the beneficial effects that: according to the method and the device for searching the list data resources, the searching range is reduced through source classification of the data, then the data resources are searched and traced through the key words, the data required by the user can be found quickly and accurately by workers, the efficiency of searching the mass data is improved, the time for searching the data resources is saved, and the energy consumption of the user 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 used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic diagram of a list data resource retrieval process according to the present invention.
Detailed Description
In order to make those skilled in the art better understand the technical solution of the present invention, the technical solution in the embodiment of the present invention will be clearly and completely described below with reference to the embodiment of the present invention. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. 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.
The list data resource retrieval method comprises the following steps:
firstly, implementing tree structure asynchronous loading of data classification characteristics by using a front-end easy UI plug-in;
secondly, determining a data resource range corresponding to a 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 relation of data classification from top to bottom, the hierarchical relation among the data is clear, and data management and user understanding are facilitated.
In the first step, the classification catalogues of the data resources are extracted according to the hierarchical categories of the data system, and the data resources are combined and arranged according to the data resource classification and the structural hierarchy to form a tree diagram which can be folded in a multi-choice mode and displayed to a user.
The data structure of the metadata is shown in table 1.
Table 1 metadata data structure
Figure BDA0002507695180000031
Figure BDA0002507695180000041
In the second step, the specific steps are as follows:
(1) keyword search
Based on keywords input by a user, after the user initiates a search request, the data platform fuzzily queries classification data matched with the keywords in data resources, and feeds the classification data back to the user in a paging list form;
(2) narrowing the search
After the user selects the classification data matched with the keywords, the classification data corresponds to different data resource retrieval ranges.
In the step (1), the keywords input by the user are subjected to query operation, that is, the data resources are searched through the data platform according to the keywords to obtain the data resources matched with the keywords, and the keywords do not need to be accurate feature descriptions. And carrying out fuzzy query on the data according to the keywords.
In the step (2), the search subject is defined based on the classification or feature description of the data, and one type of data or one type of feature corresponds to one search range, so that the search range is narrowed, the search efficiency is optimized, the search time is shortened, and the search by a user is facilitated.
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 performs paging processing on the searched data resources in a list form and feeds the paged data resources back to the page, so that the user can search conveniently.
In the fourth step, after receiving the feedback result, the user transmits the keywords in the search result to the joint check information configured in advance; the user can trace back the data source according to the joint inspection information, namely the user inquires data display, and can drill down to check detailed data.
The list data resource retrieval device, at least one memory and at least one processor;
the at least one memory to store a machine readable program;
the at least one processor is configured to invoke the machine readable program to perform the tabular data resource retrieval method.
The computer readable medium has stored thereon computer instructions which, when executed by a processor, cause the processor to perform the tabular data resource retrieval method.
Compared with the prior art, the list data resource retrieval method has the following characteristics:
firstly, the efficient management is realized based on the characteristics of classification and feature description of the source of the data resource;
secondly, the search range can be reduced through source classification of the data, and the data resources are searched and traced through keywords, so that the problems of difficult search and difficult source tracing of mass data are effectively solved;
and thirdly, the data required by the user can be quickly and accurately found by the staff, the data retrieval efficiency is improved, the time for searching data resources is saved, and the energy consumption of the user is greatly reduced.
The above description details the method and apparatus for searching list data resources in the embodiment of the present invention. While the present invention has been described with reference to specific examples, which are provided to assist in understanding the core concepts of the present invention, it is intended that all other embodiments that can be obtained by those skilled in the art without departing from the spirit of the present invention shall fall within the scope of the present invention.

Claims (10)

1. A method and a device for searching list data resources are characterized by comprising the following steps:
firstly, implementing tree structure asynchronous loading of data classification characteristics by using a front-end easy UI plug-in;
secondly, determining a data resource range corresponding to a 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.
2. The list data resource retrieval method according to claim 1, wherein: in the first step, classified data are searched, tree-shaped display is carried out according to the hierarchical relation of data classification from top to bottom, the hierarchical relation among the data is clear, and data management and user understanding are facilitated.
3. The list data resource retrieval method according to claim 2, wherein: in the first step, the classification catalogues of the data resources are extracted according to the hierarchical categories of the data system, and the data resources are combined and arranged according to the data resource classification and the structural hierarchy to form a tree diagram which can be folded in a multi-choice mode 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:
(1) keyword search
Based on keywords input by a user, after the user initiates a search request, the data platform fuzzily queries classification data matched with the keywords in data resources, and feeds the classification data back to the user in a paging list form;
(2) narrowing the search
After the user selects the classification data matched with the keywords, the classification data corresponds to different data resource retrieval ranges.
5. The list data resource retrieval method according to claim 3, wherein: in the step (1), the keywords input by the user are subjected to query operation, that is, the data resources are searched through the data platform according to the keywords to obtain the data resources matched with the keywords, and the keywords do not need to be accurate feature descriptions. And carrying out fuzzy query on the data according to the keywords.
6. The list data resource retrieval method according to claim 5, wherein: in the step (2), the search subject is defined based on the classification or feature description of the data, and one type of data or one type of feature corresponds to one search range, so that the search range is narrowed, the search efficiency is optimized, the search time is shortened, and the search by a user is facilitated.
7. The list data resource retrieval method according to 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 performs paging processing on the searched data resources in a list form and feeds the paged data resources back to the page, so that the user can search conveniently.
8. The list data resource retrieval method according to claim 1, wherein: in the fourth step, after receiving the feedback result, the user transmits the keywords in the search result to the joint check information configured in advance; the user can trace back the data source according to the joint inspection information, namely the user inquires data display, and can drill down to check detailed data.
9. A list data resource retrieval apparatus characterized by: the method comprises the following steps: at least one memory and at least one processor;
the at least one memory to store a machine readable program;
the at least one processor, configured to invoke the machine readable program, to perform the method of any of claims 1 to 8.
10. 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 8.
CN202010451107.3A 2020-05-25 2020-05-25 List data resource retrieval method and device Active CN111625570B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010451107.3A CN111625570B (en) 2020-05-25 2020-05-25 List data resource retrieval method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010451107.3A CN111625570B (en) 2020-05-25 2020-05-25 List data resource retrieval method and device

Publications (2)

Publication Number Publication Date
CN111625570A true CN111625570A (en) 2020-09-04
CN111625570B CN111625570B (en) 2024-04-02

Family

ID=72259149

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010451107.3A Active CN111625570B (en) 2020-05-25 2020-05-25 List data resource retrieval method and device

Country Status (1)

Country Link
CN (1) CN111625570B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117575487A (en) * 2024-01-19 2024-02-20 天津盛驰精工有限公司 Bill of materials updating method, apparatus, electronic device and storage medium

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1823334A (en) * 2003-05-14 2006-08-23 塞利布罗斯有限公司 Search engine method and apparatus
US20090327242A1 (en) * 2008-06-30 2009-12-31 Teradata Us, Inc. Parallel, in-line, query capture database for real-time logging, monitoring and opitmizer feedback
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
US20190392077A1 (en) * 2018-06-26 2019-12-26 International Business Machines Corporation Facet-based query refinement based on multiple query interpretations

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1823334A (en) * 2003-05-14 2006-08-23 塞利布罗斯有限公司 Search engine method and apparatus
US20090327242A1 (en) * 2008-06-30 2009-12-31 Teradata Us, Inc. Parallel, in-line, query capture database for real-time logging, monitoring and opitmizer feedback
US20190392077A1 (en) * 2018-06-26 2019-12-26 International Business Machines Corporation Facet-based query refinement based on multiple query interpretations
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

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
林其东;陈传波;郑乐丹;张一曼;: "数字图书馆主题搜索引擎的设计与实现", no. 08 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117575487A (en) * 2024-01-19 2024-02-20 天津盛驰精工有限公司 Bill of materials updating method, apparatus, electronic device and storage medium

Also Published As

Publication number Publication date
CN111625570B (en) 2024-04-02

Similar Documents

Publication Publication Date Title
WO2019091026A1 (en) Knowledge base document rapid search method, application server, and computer readable storage medium
CN108647276B (en) Searching method
WO2007085187A1 (en) Method of data retrieval, method of generating index files and search engine
CN105183884A (en) Search engine system and method based on big data technique
US11321336B2 (en) Systems and methods for enterprise data search and analysis
CN111522905A (en) Document searching method and device based on database
CN111061828B (en) Digital library knowledge retrieval method and device
CN102169491B (en) Dynamic detection method for multi-data concentrated and repeated records
US9262510B2 (en) Document tagging and retrieval using per-subject dictionaries including subject-determining-power scores for entries
CN102999637B (en) According to the method and system that file eigenvalue is file automatic powder adding add file label
CN104834736A (en) Method and device for establishing index database and retrieval method, device and system
US20120130999A1 (en) Method and Apparatus for Searching Electronic Documents
CN105404677A (en) Tree structure based retrieval method
CN111753066A (en) Method, device and equipment for expanding technical background text
CN113722600B (en) Data query method, device, equipment and product applied to big data
CN111625570B (en) List data resource retrieval method and device
Ajoudanian et al. Deep web content mining
CN105426490A (en) Tree structure based indexing method
LIM et al. Web mining-The ontology approach
GB2520993A (en) Indexing presentation slides
Lakhara et al. Design and implementation of desktop full-text searching system
Zhong et al. 3SEPIAS: A semi-structured search engine for personal information in dataspace system
Li et al. Design of a Global Retrieval System for Characteristic Data Based on SOLR
Wang et al. Ontology-assisted deep Web source selection
Priyadarshini et al. Semantic clustering approach for documents in distributed system framework with multi-node setup

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
TA01 Transfer of patent application right
TA01 Transfer of patent application right

Effective date of registration: 20240229

Address after: No. 1036, Shandong high tech Zone wave road, Ji'nan, Shandong

Applicant after: Inspur Genersoft Co.,Ltd.

Country or region after: China

Address before: 250100 No. 2877 Kehang Road, Sun Village Town, Jinan High-tech District, Shandong Province

Applicant before: SHANDONG INSPUR GENESOFT INFORMATION TECHNOLOGY Co.,Ltd.

Country or region before: China

GR01 Patent grant
GR01 Patent grant