CN111949709A - Intelligent enterprise information processing method based on big data - Google Patents

Intelligent enterprise information processing method based on big data Download PDF

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Publication number
CN111949709A
CN111949709A CN202010807905.5A CN202010807905A CN111949709A CN 111949709 A CN111949709 A CN 111949709A CN 202010807905 A CN202010807905 A CN 202010807905A CN 111949709 A CN111949709 A CN 111949709A
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China
Prior art keywords
information
enterprise
enterprise information
relation data
server
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Pending
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CN202010807905.5A
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Chinese (zh)
Inventor
卢文锋
邓晓红
方敬
佀同光
韩国勇
候延香
赵春全
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Shandong Jianzhu University
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Shandong Jianzhu University
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Priority to CN202010807905.5A priority Critical patent/CN111949709A/en
Publication of CN111949709A publication Critical patent/CN111949709A/en
Pending legal-status Critical Current

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    • 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
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • 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
    • G06F16/28Databases characterised by their database models, e.g. relational or object models
    • G06F16/284Relational databases

Abstract

The invention relates to the field of enterprise information processing, and particularly discloses an intelligent enterprise information processing method based on big data, which comprises the following specific steps: step S100: acquiring enterprise information, constructing relation data among the enterprise information, storing the relation data among the enterprise information into a database and uploading the relation data to a server; step S200: receiving an enterprise user information viewing request instruction through an instant messaging client, and calling enterprise information relation data in the server based on the information viewing request instruction; step S300: and acquiring enterprise information relation data corresponding to the enterprise user information viewing request instruction, and returning an enterprise information relation data viewing response to the instant messaging client, wherein the enterprise information relation data viewing response carries the enterprise information. The intelligent enterprise information processing method provided by the embodiment of the invention is convenient for a user to acquire more deep and rich enterprise relation data through the platform, and is beneficial to the user to make judgment.

Description

Intelligent enterprise information processing method based on big data
Technical Field
The embodiment of the invention relates to the field of enterprise information processing, in particular to an intelligent enterprise information processing method based on big data.
Background
Big data is a data set which cannot be captured, managed and processed by a conventional software tool within a certain time range, and is a massive, high-growth-rate and diversified information asset which can have stronger decision-making power, insight discovery power and flow optimization capability only by a new processing mode.
With the advent of the cloud era, big data has attracted more and more attention. Analyst teams believe that large data is often used to describe the large amount of unstructured and semi-structured data created by a company that can take excessive time and money to download to a relational database for analysis. Big data analysis is often tied to cloud computing because real-time large dataset analysis requires a MapReduce-like framework to distribute work to tens, hundreds, or even thousands of computers.
Large data requires special techniques to efficiently process large amounts of data that are tolerant of elapsed time. The method is suitable for the technology of big data, and comprises a large-scale parallel processing database, data mining, a distributed file system, a distributed database, a cloud computing platform, the Internet and an extensible storage system. At present, the existing enterprise service platform mainly collects information on the internet, then performs simple splicing and integration, and then displays the information on own websites, so that although a user does not need to use each website to respectively inquire the information, the existing data is not deeply explored and analyzed, and some very important information can be ignored, thereby causing the unfavorable judgment of the user.
Disclosure of Invention
An embodiment of the present invention provides an intelligent enterprise information processing method based on big data, so as to solve the problems in the background art. In order to achieve the above purpose, the embodiments of the present invention provide the following technical solutions:
an intelligent enterprise information processing method based on big data comprises the following specific steps:
step S100: acquiring enterprise information, constructing relation data among the enterprise information, storing the relation data among the enterprise information into a database and uploading the relation data to a server;
step S200: receiving an enterprise user information viewing request instruction through an instant messaging client, and calling enterprise information relation data in the server based on the information viewing request instruction;
step S300: and acquiring enterprise information relation data corresponding to the enterprise user information viewing request instruction, and returning an enterprise information relation data viewing response to the instant messaging client, wherein the enterprise information relation data viewing response carries the enterprise information.
As a further limitation of the technical solution of the embodiment of the present invention, the database is an SQL database.
As a further limitation of the technical solution of the embodiment of the present invention, the display of the enterprise information relationship data includes at least one of an enterprise relationship graph similar to the target enterprise information, enterprise public opinion information related to the target enterprise information, or an enterprise relationship graph related to the target enterprise information.
As a further limitation of the technical solution of the embodiment of the present invention, the server includes an acquisition module, a storage module, and a construction module.
As a further limitation of the technical solution of the embodiment of the present invention, the method further includes: and receiving a screening request initiated by an enterprise user through the instant messaging client.
As a further limitation of the technical solution of the embodiment of the present invention, the screening request includes a screening condition; generating a new information viewing request instruction according to the screening condition; and feeding back the new information viewing request instruction to the server, and calling the screened enterprise information relation data in the server.
As a further limitation of the technical solution of the embodiment of the present invention, the instant messaging client includes:
the display module is used for displaying the query interface and the target enterprise information;
the interface module is used for sending an information viewing request instruction to the server and receiving the target enterprise information sent by the server;
and the interface module is also used for sending the information viewing request instruction to a server when the information viewing request instruction is obtained, and receiving the relational data which is sent by the server and inquired from a database and is related to the target enterprise information.
Compared with the prior art, in the intelligent enterprise information processing method provided by the embodiment of the invention, enterprise information is collected from the Internet, and the enterprise information data is stored in a database; and the client side is convenient for a user to inquire the relation data related to the target enterprise information from the database according to the relation inquiry instruction of the target enterprise information, so that various types of enterprise data can be summarized, the user can conveniently obtain more deep and rich enterprise relation data through the platform, and the judgment of the user is facilitated.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
Fig. 1 is a flowchart of an intelligent enterprise information processing method based on big data according to an embodiment of the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present invention more clearly apparent, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Example 1
Referring to fig. 1, in an embodiment of the present invention, a method for processing intelligent enterprise information based on big data includes the following steps:
step S100: acquiring enterprise information, constructing relation data among the enterprise information, storing the relation data among the enterprise information into a database and uploading the relation data to a server;
step S200: receiving an enterprise user information viewing request instruction through an instant messaging client, and calling enterprise information relation data in the server based on the information viewing request instruction;
step S300: and acquiring enterprise information relation data corresponding to the enterprise user information viewing request instruction, and returning an enterprise information relation data viewing response to the instant messaging client, wherein the enterprise information relation data viewing response carries the enterprise information.
Example 2
Referring to fig. 1, in an embodiment of the present invention, a method for processing intelligent enterprise information based on big data includes the following steps: step S100: acquiring enterprise information, constructing relation data among the enterprise information, storing the relation data among the enterprise information into a database and uploading the relation data to a server;
step S200: receiving an enterprise user information viewing request instruction through an instant messaging client, and calling enterprise information relation data in the server based on the information viewing request instruction;
step S300: and acquiring enterprise information relation data corresponding to the enterprise user information viewing request instruction, and returning an enterprise information relation data viewing response to the instant messaging client, wherein the enterprise information relation data viewing response carries the enterprise information.
Further, in the embodiment provided by the present invention, the database is an SQL database.
Further, in an embodiment provided by the present invention, the enterprise information relationship data shows an enterprise relationship graph including similar target enterprise information.
Further, in the embodiment provided by the present invention, the server includes an acquisition module, a storage module, and a construction module.
Further, in an embodiment provided by the present invention, the method further includes: and receiving a screening request initiated by an enterprise user through the instant messaging client.
Further, in the embodiments provided in the present invention, the screening request includes a screening condition; generating a new information viewing request instruction according to the screening condition; and feeding back the new information viewing request instruction to the server, and calling the screened enterprise information relation data in the server.
Example 3
Referring to fig. 1, in an embodiment of the present invention, a method for processing intelligent enterprise information based on big data includes the following steps:
step S100: acquiring enterprise information, constructing relation data among the enterprise information, storing the relation data among the enterprise information into a database and uploading the relation data to a server;
step S200: receiving an enterprise user information viewing request instruction through an instant messaging client, and calling enterprise information relation data in the server based on the information viewing request instruction;
step S300: and acquiring enterprise information relation data corresponding to the enterprise user information viewing request instruction, and returning an enterprise information relation data viewing response to the instant messaging client, wherein the enterprise information relation data viewing response carries the enterprise information.
Further, in the embodiment provided by the present invention, the database is an SQL database.
Further, in the embodiment provided by the present invention, the enterprise information relationship data display includes an enterprise relationship graph similar to the target enterprise information and enterprise public opinion information related to the target enterprise information.
Further, in the embodiment provided by the present invention, the server includes an acquisition module, a storage module, and a construction module.
Further, in an embodiment provided by the present invention, the method further includes: and receiving a screening request initiated by an enterprise user through the instant messaging client.
Further, in the embodiments provided in the present invention, the screening request includes a screening condition; generating a new information viewing request instruction according to the screening condition; and feeding back the new information viewing request instruction to the server, and calling the screened enterprise information relation data in the server.
Further, in an embodiment provided by the present invention, the instant messaging client includes:
the display module is used for displaying the query interface and the target enterprise information;
the interface module is used for sending an information viewing request instruction to the server and receiving the target enterprise information sent by the server;
and the interface module is also used for sending the information viewing request instruction to a server when the information viewing request instruction is obtained, and receiving the relational data which is sent by the server and inquired from a database and is related to the target enterprise information.
Example 4
Referring to fig. 1, in an embodiment of the present invention, a method for processing intelligent enterprise information based on big data includes the following steps:
step S100: acquiring enterprise information, constructing relation data among the enterprise information, storing the relation data among the enterprise information into a database and uploading the relation data to a server;
step S200: receiving an enterprise user information viewing request instruction through an instant messaging client, and calling enterprise information relation data in the server based on the information viewing request instruction;
step S300: and acquiring enterprise information relation data corresponding to the enterprise user information viewing request instruction, and returning an enterprise information relation data viewing response to the instant messaging client, wherein the enterprise information relation data viewing response carries the enterprise information.
Further, in the embodiment provided by the present invention, the database is an SQL database.
Further, in the embodiment provided by the present invention, the enterprise information relationship data display includes an enterprise relationship graph similar to the target enterprise information, enterprise public opinion information related to the target enterprise information, and an enterprise relationship graph related to the target enterprise information.
Further, in the embodiment provided by the present invention, the server includes an acquisition module, a storage module, and a construction module.
Further, in an embodiment provided by the present invention, the method further includes: and receiving a screening request initiated by an enterprise user through the instant messaging client.
Further, in the embodiments provided in the present invention, the screening request includes a screening condition; generating a new information viewing request instruction according to the screening condition; and feeding back the new information viewing request instruction to the server, and calling the screened enterprise information relation data in the server.
Further, in an embodiment provided by the present invention, the instant messaging client includes:
the display module is used for displaying the query interface and the target enterprise information;
the interface module is used for sending an information viewing request instruction to the server and receiving the target enterprise information sent by the server;
and the interface module is also used for sending the information viewing request instruction to a server when the information viewing request instruction is obtained, and receiving the relational data which is sent by the server and inquired from a database and is related to the target enterprise information.
In summary, in the intelligent enterprise information processing method provided in the embodiment of the present invention, enterprise information is collected from the internet, and the enterprise information data is stored in a database; and the client side is convenient for a user to inquire the relation data related to the target enterprise information from the database according to the relation inquiry instruction of the target enterprise information, so that various types of enterprise data can be summarized, the user can conveniently obtain more deep and rich enterprise relation data through the platform, and the judgment of the user is facilitated.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.

Claims (7)

1. An intelligent enterprise information processing method based on big data is characterized by comprising the following specific steps:
step S100: acquiring enterprise information, constructing relation data among the enterprise information, storing the relation data among the enterprise information into a database and uploading the relation data to a server;
step S200: receiving an enterprise user information viewing request instruction through an instant messaging client, and calling enterprise information relation data in the server based on the information viewing request instruction;
step S300: and acquiring enterprise information relation data corresponding to the enterprise user information viewing request instruction, and returning an enterprise information relation data viewing response to the instant messaging client, wherein the enterprise information relation data viewing response carries the enterprise information.
2. The intelligent enterprise information processing method based on big data as claimed in claim 1, wherein the database is SQL database.
3. The intelligent business information processing method based on big data as claimed in claim 2, wherein the business information relationship data presentation includes at least one of a business relationship graph similar to the target business information, business public opinion information related to the target business information or business relationship graph related to the target business information.
4. The intelligent enterprise information processing method based on big data as claimed in claim 3, wherein the server comprises an acquisition module, a storage module and a construction module.
5. The intelligent enterprise information processing method based on big data as claimed in any one of claims 2-4, wherein the method further comprises: and receiving a screening request initiated by an enterprise user through the instant messaging client.
6. The intelligent enterprise information processing method based on big data as claimed in claim 5, wherein the filtering request includes filtering conditions; generating a new information viewing request instruction according to the screening condition; and feeding back the new information viewing request instruction to the server, and calling the screened enterprise information relation data in the server.
7. The intelligent enterprise information processing method based on big data as claimed in claim 6, wherein the instant messaging client comprises:
the display module is used for displaying the query interface and the target enterprise information;
the interface module is used for sending an information viewing request instruction to the server and receiving the target enterprise information sent by the server;
and the interface module is also used for sending the information viewing request instruction to a server when the information viewing request instruction is obtained, and receiving the relational data which is sent by the server and inquired from a database and is related to the target enterprise information.
CN202010807905.5A 2020-08-12 2020-08-12 Intelligent enterprise information processing method based on big data Pending CN111949709A (en)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106682145A (en) * 2016-12-22 2017-05-17 北京览群智数据科技有限责任公司 Enterprise information processing method, server and client
CN107292511A (en) * 2017-06-20 2017-10-24 成都海地云信息技术有限公司 ERP method and system based on cloud computing and big data technology
CN109088812A (en) * 2018-07-17 2018-12-25 腾讯科技(深圳)有限公司 Information processing method, device, computer equipment and storage medium
CN110990587A (en) * 2019-12-04 2020-04-10 电子科技大学 Enterprise relation discovery method and system based on topic model
CN111444288A (en) * 2020-03-24 2020-07-24 国家电网有限公司 Enterprise credit evaluation system based on big data analysis

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106682145A (en) * 2016-12-22 2017-05-17 北京览群智数据科技有限责任公司 Enterprise information processing method, server and client
CN107292511A (en) * 2017-06-20 2017-10-24 成都海地云信息技术有限公司 ERP method and system based on cloud computing and big data technology
CN109088812A (en) * 2018-07-17 2018-12-25 腾讯科技(深圳)有限公司 Information processing method, device, computer equipment and storage medium
CN110990587A (en) * 2019-12-04 2020-04-10 电子科技大学 Enterprise relation discovery method and system based on topic model
CN111444288A (en) * 2020-03-24 2020-07-24 国家电网有限公司 Enterprise credit evaluation system based on big data analysis

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Application publication date: 20201117