CN111625656A - Information processing method, device, equipment and storage medium - Google Patents

Information processing method, device, equipment and storage medium Download PDF

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CN111625656A
CN111625656A CN202010463084.8A CN202010463084A CN111625656A CN 111625656 A CN111625656 A CN 111625656A CN 202010463084 A CN202010463084 A CN 202010463084A CN 111625656 A CN111625656 A CN 111625656A
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information
priority
preset
updating
target object
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朱灵
梁志婷
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Shanghai Minglue Artificial Intelligence Group Co Ltd
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Shanghai Minglue Artificial Intelligence Group Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/36Creation of semantic tools, e.g. ontology or thesauri
    • G06F16/367Ontology
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/33Querying
    • G06F16/3331Query processing
    • G06F16/334Query execution
    • G06F16/3344Query execution using natural language analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00Handling natural language data
    • G06F40/20Natural language analysis
    • G06F40/279Recognition of textual entities
    • G06F40/289Phrasal analysis, e.g. finite state techniques or chunking
    • G06F40/295Named entity recognition

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  • General Engineering & Computer Science (AREA)
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  • Databases & Information Systems (AREA)
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  • General Health & Medical Sciences (AREA)
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  • Life Sciences & Earth Sciences (AREA)
  • Animal Behavior & Ethology (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

An embodiment of the application provides an information processing method, an information processing apparatus, a device and a storage medium, wherein the information processing method comprises the following steps: acquiring an updated sequence table of a safety map of a target object; calculating the priority of the updating information in the updating sequence list; and displaying the updating information meeting the preset conditions on a preset interface according to the priority. The application realizes the efficient processing and display of the information.

Description

Information processing method, device, equipment and storage medium
Technical Field
The present application relates to the field of computer technologies, and in particular, to an information processing method, apparatus, device, and storage medium.
Background
With the continuous improvement of living standard of people, the food safety problem becomes the focus of public attention. Food enterprises need to pay attention to relevant conditions of food production and processing inside the enterprises all the time, and also need to be capable of timely acquiring latest laws and regulations, relevant real-time news at home and abroad and the like. The information is huge in quantity and may change every moment, and an enterprise manager is often unable to quickly acquire the most urgent information in the face of huge data. The traditional way for enterprises to acquire data is to go to each website to search for relevant information in sequence and then arrange the relevant information, so that much time cost and labor cost are wasted, and the efficiency of acquiring information is low.
Disclosure of Invention
An object of the embodiments of the present application is to provide an information processing method, apparatus, device and storage medium, which are used to implement efficient processing and display of information.
A first aspect of an embodiment of the present application provides an information processing method, including: acquiring an updated sequence table of a safety map of a target object; calculating the priority of the updating information in the updating sequence list; and displaying the updating information meeting the preset conditions on a preset interface according to the priority.
In one embodiment, the step of constructing the security map of the target object includes: acquiring original data of a preset source about the target object; extracting a plurality of entities corresponding to the target object, relations among the entities, and event data corresponding to the entities from the original data; carrying out entity fusion and entity disambiguation on the entities to obtain a plurality of entity nodes; performing deduplication cleaning on the event data; and constructing a safety map of the target object.
In an embodiment, the obtaining an updated sequence table of the security map of the target object includes: when the updating information is introduced into the security map, performing text word segmentation processing on the updating information, and determining entity nodes corresponding to the updating information; acquiring time information and event information of the updated information; and generating an updated sequence list of the security map according to the time information and the event information.
In one embodiment, the calculating the priority of the update information in the update sequence table includes: calculating the word frequency and the reverse file frequency of preset keywords in the updating information; determining a weighted value corresponding to the preset keyword according to the word frequency and the reverse file frequency; and calculating the priority of the updating information according to the weight value.
In an embodiment, the displaying, according to the priority, the update information meeting the preset condition on the preset interface includes: the updating information added into the updating sequence table in a second preset time period is subjected to priority sequencing every other first preset time to obtain a priority sequence table; and displaying the updating information with the priority higher than a preset threshold in the priority sequence list.
A second aspect of the embodiments of the present application provides an information processing apparatus, including: the acquisition module is used for acquiring an updated sequence table of the security map of the target object; the calculation module is used for calculating the priority of the updating information in the updating sequence table; and the display module is used for displaying the updating information meeting the preset conditions on a preset interface according to the priority.
In an embodiment, the system further includes a building module configured to: acquiring original data of a preset source about the target object; extracting a plurality of entities corresponding to the target object, relations among the entities, and event data corresponding to the entities from the original data; carrying out entity fusion and entity disambiguation on the entities to obtain a plurality of entity nodes; performing deduplication cleaning on the event data; and constructing a safety map of the target object.
In an embodiment, the obtaining module is specifically configured to: when the updating information is introduced into the security map, performing text word segmentation processing on the updating information, and determining entity nodes corresponding to the updating information; acquiring time information and event information of the updated information; and generating an updated sequence list of the security map according to the time information and the event information.
In one embodiment, the calculation module is specifically configured to: calculating the word frequency and the reverse file frequency of preset keywords in the updating information; determining a weighted value corresponding to the preset keyword according to the word frequency and the reverse file frequency; and calculating the priority of the updating information according to the weight value.
In one embodiment, the display module is specifically configured to: the updating information added into the updating sequence table in a second preset time period is subjected to priority sequencing every other first preset time to obtain a priority sequence table; and displaying the updating information with the priority higher than a preset threshold in the priority sequence list.
A third aspect of embodiments of the present application provides an electronic device, including: a memory to store a computer program; a processor configured to perform the method of the first aspect of the embodiments of the present application and any of the embodiments of the present application.
A fourth aspect of embodiments of the present application provides a non-transitory electronic device-readable storage medium, including: a program which, when run by an electronic device, causes the electronic device to perform the method of the first aspect of an embodiment of the present application and any embodiment thereof.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a schematic structural diagram of an electronic device according to an embodiment of the present application;
FIG. 2 is a flowchart illustrating an information processing method according to an embodiment of the present application;
FIG. 3 is a flowchart illustrating an information processing method according to an embodiment of the present application;
FIG. 4 is a flowchart illustrating an information processing method according to an embodiment of the present application;
FIG. 5 is a schematic diagram of an information display interface according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of an information processing apparatus according to an embodiment of the present application.
Reference numerals:
100-electronic equipment, 110-bus, 120-processor, 130-memory, 500-information display interface, 510-display unit, 520-security map, 521-entity node, 600-information processing device, 610-acquisition module, 620-calculation module, 630-display module, 640-construction module.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
In the description of the present application, the terms "first," "second," and the like are used for distinguishing between descriptions and do not denote an order of magnitude, nor are they to be construed as indicating or implying relative importance.
Please refer to fig. 1, which is a schematic structural diagram of an electronic device 100 according to an embodiment of the present application, and includes at least one processor 120 and a memory 130, where fig. 1 illustrates one processor as an example. The processors 120 and the memory 130 are connected by a bus 110, and the memory 130 stores instructions executable by the at least one processor 120, the instructions being executed by the at least one processor 120 to cause the at least one processor 120 to perform an information processing method as in the embodiments described below.
Fig. 2 is a flowchart illustrating an information processing method according to an embodiment of the present application, which can be executed by the electronic device 100 shown in fig. 1 to achieve efficient processing and display of information. The method comprises the following steps:
step 210: and acquiring an updated sequence table of the safety map of the target object.
In the above steps, the target object may be determined according to an actual attention requirement of the user, for example, if the user belongs to the food industry, the updated sequence list of the food safety map is obtained, and if the user belongs to the daily chemical product industry, the updated sequence list of the safety map of the daily chemical product is obtained. And monitoring the safety map of the target object, and adding the updated information into the updated sequence table of the safety map to acquire the updated sequence table when new knowledge is introduced into the safety map as the updated information. In one embodiment, the security map of the target object may be a food security map.
Step 220: and calculating the priority of the updating information in the updating sequence list.
In the above step, the priority of each update message in the update sequence list is calculated according to the preset keywords, in an embodiment, a weighted value may be set for each preset keyword in advance, and then the number of priority levels is obtained according to the weighted values and word frequencies of all the preset keywords in each update message.
Step 230: and displaying the updating information meeting the preset conditions on a preset interface according to the priority.
In the above steps, the higher the priority of the update information is, the higher the association degree between the update information and the enterprise is, and the update information needs to be preferentially pushed to a preset interface for display.
Fig. 3 is a flowchart illustrating an information processing method according to an embodiment of the present application, which can be executed by the electronic device 100 shown in fig. 1 to achieve efficient processing and display of information. The method comprises the following steps:
step 310: raw data about a target object from a preset source is acquired.
In the above steps, the original data of the target object from the predetermined source is obtained, where the predetermined source may include information of suppliers, raw materials, and the like, and in one embodiment, real-time data of the whole food supply chain, including but not limited to real-time data of food production, processing, storage and transportation, sales, consumption, and the like, may be obtained through a monitoring platform inside the enterprise. The predetermined sources may also include hot news information related to food safety, legal information, and other external information of the enterprise, which may be obtained by crawling semi-structured data on news platforms, encyclopedia knowledge, and official websites of related legal regulations.
Step 320: a plurality of entities corresponding to the target object, relationships among the plurality of entities, and event data corresponding to the plurality of entities are extracted from the raw data.
In the above steps, the text in the original data is recognized to obtain a plurality of discrete entities related to the target object, in an embodiment, the plurality of entities corresponding to the food may be enterprises, suppliers, manufacturers, farms, supermarkets, etc., or may be a specific food. Then, the incidence relations among a plurality of entities, such as the affiliation relations, the supply relations, the supervision relations, the shopping relations and the like, are extracted from the original data, the entities are connected through the relations to form a reticular knowledge structure, and then the event data corresponding to the entities are extracted from the original data.
Step 330: and carrying out entity fusion and entity disambiguation on the plurality of entities to obtain a plurality of entity nodes.
In the above steps, entity fusion refers to fusing the same entities from different predetermined sources into one entity, and entity disambiguation refers to resolving the contradiction and ambiguity between ambiguous entities by clustering or the like, for example, some entities may have multiple different description modes, or a specific name may correspond to multiple different entities, etc.
Step 340: and performing deduplication cleaning on the event data.
In the above steps, the same repeated events in the extracted event data are deduplicated.
Step 350: and constructing a safety map of the target object.
In the above steps, a security map of the target object is constructed based on a plurality of entity nodes obtained through entity fusion and entity disambiguation and event data after duplication removal.
In one embodiment, after the construction of the security graph is initially completed, the big data platform task scheduling center starts data verification, verifies new knowledge to be introduced into the security graph according to a plurality of correctness verification rules preset based on configuration errors and logic errors, and returns a failure prompt to the big data platform task scheduling center to complete knowledge verification if the verification result judges that the new knowledge is incorrect or is repeated with the existing knowledge.
Step 360: and acquiring an updated sequence table of the safety map of the target object. See the description of step 210 in the above embodiments for details.
Step 370: and calculating the priority of the updating information in the updating sequence list. See the description of step 220 in the above embodiments for details.
Step 380: and displaying the updating information meeting the preset conditions on a preset interface according to the priority. See the description of step 230 in the above embodiments for details.
Fig. 4 is a flowchart illustrating an information processing method according to an embodiment of the present application, which can be executed by the electronic device 100 shown in fig. 1 to achieve efficient processing and display of information. The method comprises the following steps:
step 410: when the update information is introduced into the security map, text word segmentation processing is carried out on the update information, and entity nodes corresponding to the update information are determined.
In the above steps, the safety map of the target object is monitored, when update information is introduced into the safety map, text segmentation processing is performed on the update information to remove stop words, the stop words may be preset according to needs, and may include inflicted words, adverbs, prepositions, conjunctions, and the like, and may also include punctuations, numbers, symbols, and the like, and may also include other words with a low degree of common distinction for the original data related to the target object, for example, for the update information of the food safety map, the preset stop words may include, but are not limited to, "what", "while", "but" and the like. And meanwhile, calculating word frequency in the updated information, neglecting words with low occurrence frequency, performing data enhancement on the updated information by a near word replacement method and the like, and labeling the keywords of the updated information when one or more preset keywords appear in the updated information, so as to determine which entity node in the security map the updated information corresponds to.
Step 420: and acquiring time information and event information of the updated information.
In the above steps, time information and event information of the update information are obtained, the time information is time for introducing the update information into the security map, and the event information includes summary information of the update information, picture text information, entity nodes corresponding to the update information in the security map, and labeled keyword information.
Step 430: and generating an updated sequence list of the security map according to the time information and the event information.
In the above steps, the event information is sorted according to the sequence of the time information, and an updated sequence list of the security map is generated.
Step 440: and calculating the word frequency and the reverse file frequency of preset keywords in the updated information.
In the above step, for the food safety map, the preset keyword may include, but is not limited to, "food safety standard", "transgenic food", "food additive", and the like, where the word frequency of a certain preset keyword refers to the frequency of the preset keyword appearing in the update information, and the reverse file frequency of a certain preset keyword may be obtained by dividing the number of all update information by the number of update information including the preset keyword, and then taking the obtained quotient to be a logarithm with the base of 10.
Step 450: and determining a weighted value corresponding to the preset keyword according to the word frequency and the reverse file frequency.
In the above step, the word frequency of the preset keyword is multiplied by the reverse file frequency, and the weighted value corresponding to the preset keyword is determined according to the product of the word frequency and the reverse file frequency, wherein the larger the product of the word frequency and the reverse file frequency is, the higher the importance degree of the preset keyword in the update information is, the higher the weighted value corresponding to the preset keyword should be.
Step 460: and calculating the priority of the updated information according to the weight value.
In the above steps, the priority of the updated information is calculated according to the word frequency of the preset keyword appearing in the updated information and the weight value corresponding to the preset keyword, and the higher the priority of the updated information is, the higher the association degree between the updated information and the enterprise is.
Step 470: and at intervals of first preset time, performing priority sequencing on the update information added into the update sequence table in a second preset time period to obtain a priority sequence table.
In the above steps, every first preset time T1For a second preset time period T2And in one embodiment, the priority ranking is performed once on the update information added into the update sequence table within the last 72 hours every 1 hour to obtain the priority sequence table.
Step 480: and displaying the updating information with the priority higher than the preset threshold in the priority sequence list.
In the above steps, the update information with the priority higher than the preset threshold in the priority sequence list is displayed, and the update information with the priority lower than or equal to the preset threshold is stored in the background database. In one embodiment, the priorities are classified into 1-10 levels from low to high, the preset threshold is 8 levels, and the update information with the priority higher than 8 levels is pushed and displayed.
In an embodiment, the update information arranged before the preset sequence number may be selected from a priority sequence list sorted from high to low according to priority to be pushed and displayed.
As shown in fig. 5, which is a schematic diagram of an information display interface 500 according to an embodiment of the present application, a user may preset a plurality of user-defined display units 510 on an interactive interface for displaying high-priority update information in real time, and a link is established between each display unit 510 and a security graph 520, so that an entity node 521 corresponding to the update information in the security graph 520 may be quickly located by directly clicking the update information of the display unit 510, so as to view other related content.
In one embodiment, the security graph 520 is a food security graph, the entity nodes 521 include but are not limited to suppliers, manufacturers, vendors, and the like, and the display unit 510 may be used to display food security current news information, food security related regulations information, enterprise supply information, and the like.
As shown in fig. 6, which is a schematic structural diagram of an information processing apparatus 600 according to an embodiment of the present application, the apparatus is applicable to the electronic device 100 shown in fig. 1, and includes: an acquisition module 610, a calculation module 620, and a display module 630. The principle relationship of the modules is as follows:
an obtaining module 610, configured to obtain an updated sequence table of the security map of the target object. See the description of step 210 in the above embodiments for details.
A calculating module 620, configured to calculate a priority of the update information in the update sequence table. See the description of step 220 in the above embodiments for details.
The display module 630 is configured to display, on the preset interface, the update information meeting the preset condition according to the priority. See the description of step 230 in the above embodiments for details.
In an embodiment, the information processing apparatus 600 further includes a constructing module 640 for: acquiring original data of a preset source about a target object; extracting a plurality of entities corresponding to the target object, relationships among the entities, and event data corresponding to the entities from the raw data; carrying out entity fusion and entity disambiguation on a plurality of entities to obtain a plurality of entity nodes; carrying out duplicate removal and cleaning on the event data; and constructing a safety map of the target object. See the above embodiments for a detailed description of steps 310 through 350.
In an embodiment, the obtaining module 610 is specifically configured to: when the update information is introduced into the security map, performing text word segmentation processing on the update information, and determining entity nodes corresponding to the update information; acquiring time information and event information of the updated information; and generating an updated sequence list of the security map according to the time information and the event information. Refer to the description of steps 410 to 430 in the above embodiments in detail.
In one embodiment, the calculation module 620 is specifically configured to: calculating the word frequency and the reverse file frequency of preset keywords in the updated information; determining a weighted value corresponding to a preset keyword according to the word frequency and the reverse file frequency; and calculating the priority of the updated information according to the weight value. See the description of steps 440-460 in the above embodiments for details.
In one embodiment, the display module 630 is specifically configured to: the updating information added into the updating sequence table in the second preset time period is subjected to priority sequencing every other first preset time to obtain a priority sequence table; and displaying the updating information with the priority higher than the preset threshold in the priority sequence list. See the above embodiments for a detailed description of steps 470 through 480.
For a detailed description of the information processing apparatus 600, please refer to the description of the related method steps in the above embodiments.
An embodiment of the present invention further provides a non-transitory electronic device readable storage medium, including: a program that, when run on an electronic device, causes the electronic device to perform all or part of the procedures of the methods in the above-described embodiments. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviated as HDD), a Solid State Drive (SSD), or the like. The storage medium may also comprise a combination of memories of the kind described above.
The above are merely preferred embodiments of the present application and are not intended to limit the present application. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims (12)

1. An information processing method characterized by comprising:
acquiring an updated sequence table of a safety map of a target object;
calculating the priority of the updating information in the updating sequence list;
and displaying the updating information meeting the preset conditions on a preset interface according to the priority.
2. The method of claim 1, wherein the step of constructing the security map of the target object comprises:
acquiring original data of a preset source about the target object;
extracting a plurality of entities corresponding to the target object, relations among the entities, and event data corresponding to the entities from the original data;
carrying out entity fusion and entity disambiguation on the entities to obtain a plurality of entity nodes;
performing deduplication cleaning on the event data;
and constructing a safety map of the target object.
3. The method of claim 1, wherein obtaining the updated sequence list of the security map of the target object comprises:
when the updating information is introduced into the security map, performing text word segmentation processing on the updating information, and determining entity nodes corresponding to the updating information;
acquiring time information and event information of the updated information;
and generating an updated sequence list of the security map according to the time information and the event information.
4. The method of claim 1, wherein the calculating the priority of the update information in the update sequence list comprises:
calculating the word frequency and the reverse file frequency of preset keywords in the updating information;
determining a weighted value corresponding to the preset keyword according to the word frequency and the reverse file frequency;
and calculating the priority of the updating information according to the weight value.
5. The method according to claim 1, wherein the displaying, according to the priority, the updated information meeting the preset condition on a preset interface comprises:
the updating information added into the updating sequence table in a second preset time period is subjected to priority sequencing every other first preset time to obtain a priority sequence table;
and displaying the updating information with the priority higher than a preset threshold in the priority sequence list.
6. An information processing apparatus characterized by comprising:
the acquisition module is used for acquiring an updated sequence table of the security map of the target object;
the calculation module is used for calculating the priority of the updating information in the updating sequence table;
and the display module is used for displaying the updating information meeting the preset conditions on a preset interface according to the priority.
7. The apparatus of claim 6, further comprising a construction module to:
acquiring original data of a preset source about the target object;
extracting a plurality of entities corresponding to the target object, relations among the entities, and event data corresponding to the entities from the original data;
carrying out entity fusion and entity disambiguation on the entities to obtain a plurality of entity nodes;
performing deduplication cleaning on the event data;
and constructing a safety map of the target object.
8. The apparatus of claim 6, wherein the obtaining module is specifically configured to:
when the updating information is introduced into the security map, performing text word segmentation processing on the updating information, and determining entity nodes corresponding to the updating information;
acquiring time information and event information of the updated information;
and generating an updated sequence list of the security map according to the time information and the event information.
9. The apparatus of claim 6, wherein the computing module is specifically configured to:
calculating the word frequency and the reverse file frequency of preset keywords in the updating information;
determining a weighted value corresponding to the preset keyword according to the word frequency and the reverse file frequency;
and calculating the priority of the updating information according to the weight value.
10. The apparatus of claim 6, wherein the display module is specifically configured to:
the updating information added into the updating sequence table in a second preset time period is subjected to priority sequencing every other first preset time to obtain a priority sequence table;
and displaying the updating information with the priority higher than a preset threshold in the priority sequence list.
11. An electronic device, comprising:
a memory to store a computer program;
a processor to perform the method of any one of claims 1 to 5.
12. A non-transitory electronic device readable storage medium, comprising: program which, when run by an electronic device, causes the electronic device to perform the method of any one of claims 1 to 5.
CN202010463084.8A 2020-05-27 2020-05-27 Information processing method, device, equipment and storage medium Withdrawn CN111625656A (en)

Priority Applications (1)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113449886A (en) * 2021-07-05 2021-09-28 中国工商银行股份有限公司 Data processing method, processing device, equipment and storage medium
CN114186053A (en) * 2022-02-17 2022-03-15 中科雨辰科技有限公司 Sending method for event message

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113449886A (en) * 2021-07-05 2021-09-28 中国工商银行股份有限公司 Data processing method, processing device, equipment and storage medium
CN114186053A (en) * 2022-02-17 2022-03-15 中科雨辰科技有限公司 Sending method for event message
CN114186053B (en) * 2022-02-17 2022-05-17 中科雨辰科技有限公司 Sending method for event message

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Application publication date: 20200904