CN112015918A - Data processing method and device - Google Patents
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Abstract
The present specification provides a data processing method and apparatus, wherein the data processing method includes: receiving information to be inquired submitted by a user; performing semantic analysis on the information to be queried to determine target keywords in the information to be queried; searching query information associated with the target keyword in a preset supervision and compliance knowledge graph; the query information is ranked according to a preset ranking rule, a ranking result is displayed to a user, the corresponding query information is searched in a knowledge map through a preset supervision and compliance knowledge map according to a target keyword determined in the information to be queried through a data processing method provided by the specification, the user is facilitated to effectively and accurately obtain information content through association and mapping between the knowledge maps, important information can be quickly and effectively obtained from a large amount of information, and the retrieved information is wider and more comprehensive.
Description
Technical Field
The present disclosure relates to the field of compliance data management, and in particular, to a data processing method and apparatus.
Background
With the advent of the internet era, mass information is distributed in different information sources, and users usually need to search for concerned contents in the mass information.
In the existing query method, a commonly used search method is a keyword matching method, for example, a user submits a keyword, target information associated with the keyword is searched in massive information, a query result and the keyword are often positively correlated, but the keyword matching method has the premise that the user needs to have certain search capability, the keyword of content to be queried can be known definitely, and if the user does not know the keyword of the information to be queried during searching, the content to be queried can not be found, so the existing conventional search method can not meet the actual requirement of the user sometimes, and is not friendly to the user experience.
Based on this, there is an urgent need for an effective method to solve the above problems.
Disclosure of Invention
In view of this, the embodiments of the present specification provide a data processing method. The present specification also relates to a data processing apparatus, a computing device, and a computer-readable storage medium to solve the technical problems in the prior art.
According to a first aspect of embodiments herein, there is provided a data processing method including:
receiving information to be inquired submitted by a user;
performing semantic analysis on the information to be queried to determine target keywords in the information to be queried;
searching query information associated with the target keyword in a preset supervision and compliance knowledge graph;
and sequencing the query information according to a preset sequencing rule, and displaying a sequencing result to a user.
Optionally, searching query information associated with the target keyword in a preset regulatory compliance knowledge graph, including:
entity linking is carried out in the preset supervision compliance knowledge map according to the target keyword to obtain a candidate entity;
and determining query information corresponding to the candidate entity in the knowledge graph.
Optionally, the sorting the query information according to a preset sorting rule includes:
acquiring the information release time of the query information and the association degree of the query information and the target keyword;
and sequencing the information identification of the query information according to the information release time and the association degree.
Optionally, the displaying the sorting result to the user includes:
and displaying the sequencing result to a user in a graphical visual interface mode.
Optionally, the method further includes:
receiving a query instruction sent by a user based on the sequencing result, wherein the query instruction carries a target information identifier;
and determining target information according to the target information identifier, and displaying the target information to a user.
Optionally, the receiving of the information to be queried submitted by the user includes:
and receiving the text or voice to be inquired submitted by the user.
According to a second aspect of embodiments herein, there is provided a data processing apparatus comprising:
the receiving module is configured to receive information to be inquired submitted by a user;
the determining module is configured to perform semantic analysis on the information to be queried and determine a target keyword in the information to be queried;
the searching module is used for searching query information associated with the target keyword in a preset supervision and compliance knowledge graph;
and the display module is configured to sort the query information according to a preset sorting rule and display a sorting result to a user.
According to a third aspect of embodiments herein, there is provided a computing device comprising:
a memory and a processor;
the memory is to store computer-executable instructions, and the processor is to execute the computer-executable instructions to:
receiving information to be inquired submitted by a user;
performing semantic analysis on the information to be queried to determine target keywords in the information to be queried;
searching query information associated with the target keyword in a preset supervision and compliance knowledge graph;
and sequencing the query information according to a preset sequencing rule, and displaying a sequencing result to a user.
According to a fourth aspect of embodiments herein, there is provided a computer-readable storage medium storing computer-executable instructions that, when executed by a processor, implement the steps of any of the data processing methods.
The data processing method provided by the specification receives information to be queried submitted by a user; performing semantic analysis on the information to be queried to determine target keywords in the information to be queried; searching query information associated with the target keyword in a preset supervision and compliance knowledge graph; and sequencing the query information according to a preset sequencing rule, and displaying a sequencing result to a user. The data processing method provided by an embodiment of the present specification receives information to be queried submitted by a user, determines a keyword in the information to be queried, searches query information corresponding to the keyword in a preset supervision and compliance knowledge base, ranks the query information, and displays the ranked query information to the user, where a node in the knowledge base corresponds to an entity or concept in the real world, and the correlation between information is not limited to traditional keyword search, so that accurate aggregation and matching of entity information, understanding of the keyword, and semantic analysis of search intention can be better achieved, and association and mapping between knowledge bases can be used to help the user to effectively and accurately obtain information content, and important information can be quickly and effectively obtained from a large amount of information, so that the retrieved information is wider and more comprehensive.
Drawings
Fig. 1 is a flowchart of a data processing method provided in an embodiment of the present specification;
fig. 2 is a processing flow chart of a data processing method applied to instant messaging software according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present disclosure;
fig. 4 is a block diagram of a computing device according to an embodiment of the present disclosure.
Detailed Description
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present description. This description may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein, as those skilled in the art will be able to make and use the present disclosure without departing from the spirit and scope of the present disclosure.
The terminology used in the description of the one or more embodiments is for the purpose of describing the particular embodiments only and is not intended to be limiting of the description of the one or more embodiments. As used in one or more embodiments of the present specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used in one or more embodiments of the present specification refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It will be understood that, although the terms first, second, etc. may be used herein in one or more embodiments to describe various information, these information should not be limited by these terms. These terms are only used to distinguish one type of information from another. For example, a first can also be referred to as a second and, similarly, a second can also be referred to as a first without departing from the scope of one or more embodiments of the present description. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.
In the present specification, a data processing method is provided, and the present specification relates to a data processing apparatus, a computing device, and a computer-readable storage medium, which are described in detail one by one in the following embodiments.
Fig. 1 shows a flowchart of a data processing method according to an embodiment of the present specification, which specifically includes the following steps:
step 102: and receiving the information to be inquired submitted by the user.
In actual life, with the coming of the internet era, mass information is distributed in different information sources, the correlation between information is sparse, with the stricter and stricter supervision environments and the continuous expansion of data information such as laws, regulations and punishment information, a user cannot quickly and accurately obtain effective information by using a traditional search engine, the user often needs to find information content required by the user in the mass information, the change of perception information cannot be accurately perceived, and the found information often has a lot of redundant information, wrong information or information which does not have timeliness, and is very unfriendly to the user.
According to the data processing method provided by the specification, the information to be inquired submitted by a user is received, the target keyword in the information to be inquired is determined after the information to be inquired is analyzed, the inquiry information related to the target keyword is searched in a preset supervision and compliance knowledge map, the inquiry information is sequenced, the sequencing result is displayed to the user, the inquiry information corresponding to the information to be inquired can be quickly searched in massive information, the information acquisition efficiency of the user is improved, and the time is saved.
Optionally, the receiving of the information to be queried submitted by the user includes: and receiving the text or voice to be inquired submitted by the user.
In specific implementation, the information to be queried specifically refers to a content that a user sends and wants to query, such as "i want to know a certain regulation", "M experts' view of an event a", "new product B of company N" and the like, and the information to be queried submitted by the user is received, which may be text information to be queried submitted by the user, such as text information input by the user on an input interface; or receiving the voice to be queried submitted by the user, such as voice information input by the user in an input interface.
In a specific embodiment provided in this specification, taking receiving information to be queried submitted by a user as text information as an example, receiving a text to be queried submitted by a user, "i want to know a certain regulation".
Step 104: and performing semantic analysis on the information to be queried to determine target keywords in the information to be queried.
The semantic analysis is a technology for generally analyzing information, extracting key contents of cores in the information by analyzing characters of the information, and determining target keywords by performing semantic analysis on the information to be queried through a pre-trained semantic analysis model.
The target keywords are core contents in the information to be queried, semantic analysis is performed on the information to be queried to determine what core key contents of the information to be queried are, and the number of the target keywords can be one or two or more. If the M expert views the A event, the target keywords are the M expert, the A event and the views; if the new product B of the N company is similar, the target keywords are the N company and the new product B; if "I want to know a certain regulation", the target keyword is a certain regulation.
In a specific embodiment provided in this specification, following the above example, a semantic analysis is performed on a text to be queried, namely "i want to know a certain regulation", and a target keyword "a certain regulation" in the text to be queried is determined.
Step 106: and searching query information associated with the target keyword in a preset supervision and compliance knowledge graph.
The supervision compliance knowledge map comprises a plurality of sub-maps related to the supervision compliance field, such as a product knowledge sub-map, a law sub-map, an expert viewpoint sub-map, an industry company sub-map, a supervision penalty sub-map, a public opinion information sub-map and the like, wherein each sub-map stores information related to a sub-map topic, and the supervision compliance knowledge map is formed by constructing the plurality of sub-maps related to the supervision compliance field.
There are many methods for creating the supervision compliance knowledge graph, and the construction method of the supervision compliance knowledge graph is not further limited in the application.
Optionally, searching query information associated with the target keyword in a preset regulatory compliance knowledge graph, including:
entity linking is carried out in the preset supervision compliance knowledge map according to the target keyword to obtain a candidate entity;
and determining query information corresponding to the candidate entity in the knowledge graph.
In practical application, the same target keyword is crossed in different sub-graphs in a knowledge graph, for example, the opinion issued by M experts on an event A, the opinion of the M experts and the event A are summarized in an expert opinion sub-graph, and meanwhile, the M experts are still a legal person of a certain company, the M experts are also summarized in an industry company sub-graph, and the event A is summarized in an event sub-graph.
Entity links are the mapping of certain characters to corresponding entities in the knowledge-graph, such as for a product, e.g., for "orange", i.e., to the entity of "orange" in the knowledge-graph. In many cases, the same-name and different-name entities or the same-name and different-name entities exist, so entity disambiguation is also carried out in the entity linking process.
The purpose of entity disambiguation is to correspond the same word to different entities according to different contexts, such as NBA orbiculus for a name nail, when appearing in the context of basketball, and movie director for a movie related context.
In practical applications, it may also happen that two words correspond to the same Entity, such as "city a" and "capital of the country", where the two words are literally two different entities, but actually refer to the same Entity, and an Entity normalization (Entity Resolution) operation needs to be performed on multiple candidate entities.
In practical application, there will often be many pronouns such as "he", "it", "they", etc. in a text, and it is also necessary to determine the entity corresponding to each pronoun, such as "three yesterday" for a sentence because he goes to listen to the testimony of li four, so he has not come to work, but he comes to work today. After the ' he's ' is subjected to the reference resolution, the specific reference can be determined to be ' Zhang three ' instead of ' Liquan '.
And performing entity linkage in the supervision compliance knowledge graph according to the target keyword to obtain candidate entities, and determining query information corresponding to the candidate entities in each sub-graph in the supervision compliance knowledge graph.
In a specific embodiment provided in this specification, following the above example, the target keyword is "a certain rule", the target keyword "a certain rule" is entity-linked in the preset supervision and compliance knowledge map to obtain a candidate entity "a certain rule", the candidate entity "a certain rule" is queried in the supervision and compliance knowledge map to determine that a subgraph corresponding to the candidate entity "a certain rule" has a legal rule subgraph, an expert viewpoint subgraph, a supervision penalty subgraph, a public opinion information subgraph, and an industry company subgraph, and the information M associated with the candidate entity "a certain rule" is queried in the legal rule subgraph1Inquiring information M associated with a candidate entity 'a certain regulation' in an expert viewpoint subgraph2Querying information M associated with the candidate entity 'certain regulation' in the supervision penalty sub-graph3Inquiring information M related to candidate entity 'a certain regulation' in public opinion information subgraph4Inquiring information M associated with a candidate entity 'a certain regulation' in a business company subgraph5。
Step 108: and sequencing the query information according to a preset sequencing rule, and displaying a sequencing result to a user.
The preset ordering rule is used for ordering the retrieved query information, and the ordering rule may include information release time, association degree between the information and the target keyword, reliability of information source, and the like, for example, in a plurality of pieces of query information, the later the release time is, the earlier the information is ordered, or the higher association degree is, the earlier the information is ordered, or the information source of the query information is determined, the earlier the information is released by the unauthorized authority, and the like, and in this specification, the preset ordering rule is not limited.
Optionally, the sorting the query information according to a preset sorting rule includes:
acquiring the information release time of the query information and the association degree of the query information and the target keyword;
and sequencing the information identification of the query information according to the information release time and the association degree.
In practical applications, the content of the query information may be very long, for example, an article, a news report, or related laws and regulations, and the query information cannot be directly limited to the user, the information identifier of the query information may be ranked according to a preset ranking rule, where the information identifier may be a link, a title, an abstract, or the like of the article, the news report, or the laws and regulations, and the user may also know the subject content of the query information through the information identifier.
The information identifier saves subsequent display space, can ensure that more query information is displayed in a limited display interface, can also ensure that a user determines the subject content of the corresponding query information according to the information identifier, and is convenient for the user to quickly and timely search the corresponding query information.
Optionally, the displaying the sorting result to the user includes: and displaying the sequencing result to a user in a graphical visual interface mode.
After the sorting is completed, sorting results can be displayed to the user, the specific display form can be a list form, the query information or the information identification of the query information is displayed to the user, the information can also be displayed to the user in a form of association between an entity and the entity in a knowledge map, the sorting results are displayed to the user in a form of a graphical visual interface, the use experience of the user is improved, the user can find target query information more intuitively and conveniently, information which the user wants to pay attention to can be found out quickly in massive information, the time is saved, and the efficiency is improved.
Optionally, in another specific embodiment provided in this specification, the method further includes:
receiving a query instruction sent by a user based on the sequencing result, wherein the query instruction carries a target information identifier;
and determining target information according to the target information identifier, and displaying the target information to a user.
In a specific implementation, after the ranking result is displayed to the user, a query instruction sent by the user based on the ranking result may also be received, where the query instruction is specifically a further query instruction sent based on the ranking result, and for example, if the ranking result is M1、M2、M3And M4User selects to view information M3If yes, the query command carries the target information identifier M3According to the target information mark, the corresponding target information can be determined, and then the target information is displayed to the user, such as the target information mark M3And if the article corresponds to the article, the article is displayed to the user.
The data processing method provided by the embodiment of the specification receives information to be queried submitted by a user; performing semantic analysis on the information to be queried to determine target keywords in the information to be queried; searching query information associated with the target keyword in a preset supervision and compliance knowledge graph; the query information is sequenced according to a preset sequencing rule, sequencing results are displayed to a user, the data processing method provided by the specification is used for receiving the information to be queried submitted by the user, determining key words in the information to be queried, searching the query information corresponding to the key words in a preset supervision and compliance knowledge base, sequencing the query information and displaying the query information to the user, nodes in the knowledge base correspond to entities or concepts in the real world, the correlation among the information is not limited to traditional key word search, the accurate aggregation and matching of the entity information, the understanding of the key words and the semantic analysis of search intention can be better realized, the information content can be effectively and accurately obtained by the user through the correlation and mapping among the knowledge bases, and the important information can be quickly and effectively obtained from a large amount of information, the retrieved information is more extensive and comprehensive.
The following will further describe the data processing method with reference to fig. 2 by taking an application of the data processing method provided in this specification in instant messaging software as an example. Fig. 2 shows a processing flow chart of a data processing method applied to instant messaging software according to an embodiment of the present specification, which specifically includes the following steps:
step 202: and receiving the text to be queried submitted by the user.
In the embodiment provided in the present specification, the user inputs the text "new product T" to be queried in the communication dialog box through the instant messaging software.
Step 204: and performing semantic analysis on the text to be queried to determine target keywords in the text to be queried.
In the embodiment provided in this specification, semantic analysis is performed on a text to be queried, that is, a new product T, and a target keyword in the text to be queried is determined to be the new product T.
Step 206: and carrying out entity linkage in the preset supervision compliance knowledge map according to the target keyword to obtain a candidate entity.
In the embodiment provided in this specification, the target keyword "new product T" is subjected to entity linking in a preset regulatory compliance knowledge graph, so as to obtain a candidate entity "new product T".
Step 208: and determining query information corresponding to the candidate entity in the knowledge graph.
In the embodiment provided by the present specification, the candidate entity "new product T" is queried in the supervision and compliance knowledge graph, sub-graphs corresponding to the candidate entity "new product T" are determined to have a product sub-graph, an industry company sub-graph, and an expert viewpoint sub-graph, and information M associated with the candidate entity "new product T" is queried in the product sub-graph1Querying and in the enterprise company subgraphInformation M associated with candidate entity' New product T2Inquiring information M associated with candidate entity 'new product T' in expert view subgraph3。
Step 210: and acquiring the information issuing time of the query information and the association degree of the query information and the target keyword.
In the embodiment provided in this specification, the information publishing time of each piece of query information and the association degree of each piece of query information with the target keyword being "new product T" are obtained.
Step 212: and sequencing the information identification of the query information according to the information release time and the association degree.
In the embodiments provided in this specification, the information identifiers of the query information are sorted according to the information publishing time of each piece of query information and the association degree with the target keyword "new product T", and the final sorting order is M2、M1And M3。
Step 214: and displaying the sorting result to the user in a list form.
In the embodiments provided in the present specification, the final sorting result M is2、M1And M3And displaying to the user.
Step 216: and receiving a query instruction sent by a user based on the sequencing result, wherein the query instruction carries a target information identifier.
In an embodiment provided by the present specification, a user clicks on M in the ranking results3Sending out target information mark as M3Query instruction of the query information.
Step 218: and determining target information according to the target information identifier, and displaying the target information to a user.
In the embodiments provided in this specification, M is identified based on target information3And determining corresponding target information and displaying the target information to the user.
The data processing method provided by the embodiment of the specification receives information to be queried submitted by a user; performing semantic analysis on the information to be queried to determine target keywords in the information to be queried; searching query information associated with the target keyword in a preset supervision and compliance knowledge graph; the query information is sequenced according to a preset sequencing rule, sequencing results are displayed to a user, the data processing method provided by the specification is used for receiving the information to be queried submitted by the user, determining key words in the information to be queried, searching the query information corresponding to the key words in a preset supervision and compliance knowledge base, sequencing the query information and displaying the query information to the user, nodes in the knowledge base correspond to entities or concepts in the real world, the correlation among the information is not limited to traditional key word search, the accurate aggregation and matching of the entity information, the understanding of the key words and the semantic analysis of search intention can be better realized, the information content can be effectively and accurately obtained by the user through the correlation and mapping among the knowledge bases, and the important information can be quickly and effectively obtained from a large amount of information, the retrieved information is more extensive and comprehensive.
Corresponding to the above method embodiment, this specification further provides an embodiment of a data processing apparatus, and fig. 3 shows a schematic structural diagram of a data processing apparatus provided in an embodiment of this specification. As shown in fig. 3, the apparatus includes:
the receiving module 302 is configured to receive information to be queried submitted by a user.
A determining module 304, configured to perform semantic analysis on the information to be queried, and determine a target keyword in the information to be queried.
A lookup module 306 configured to lookup the query information associated with the target keyword in a preset regulatory compliance knowledge graph.
And the presentation module 308 is configured to rank the query information according to a preset ranking rule, and present a ranking result to a user.
Optionally, the search module 306 is further configured to:
entity linking is carried out in the preset supervision compliance knowledge map according to the target keyword to obtain a candidate entity;
and determining query information corresponding to the candidate entity in the knowledge graph.
Optionally, the presentation module 308 is further configured to:
acquiring the information release time of the query information and the association degree of the query information and the target keyword;
and sequencing the information identification of the query information according to the information release time and the association degree.
Optionally, the presentation module 308 is further configured to:
and displaying the sequencing result to a user in a graphical visual interface mode.
Optionally, the apparatus further comprises:
the instruction receiving module is configured to receive a query instruction sent by a user based on the sorting result, wherein the query instruction carries a target information identifier;
and the information display module is configured to determine target information according to the target information identifier and display the target information to a user.
Optionally, the receiving module 302 is further configured to: and receiving the text or voice to be inquired submitted by the user.
The data processing device provided by the embodiment of the specification receives information to be queried submitted by a user; performing semantic analysis on the information to be queried to determine target keywords in the information to be queried; searching query information associated with the target keyword in a preset supervision and compliance knowledge graph; the query information is sequenced according to a preset sequencing rule, sequencing results are displayed to a user, the data processing method provided by the specification is used for receiving the information to be queried submitted by the user, determining key words in the information to be queried, searching the query information corresponding to the key words in a preset supervision and compliance knowledge base, sequencing the query information and displaying the query information to the user, nodes in the knowledge base correspond to entities or concepts in the real world, the correlation among the information is not limited to traditional key word search, the accurate aggregation and matching of the entity information, the understanding of the key words and the semantic analysis of search intention can be better realized, the information content can be effectively and accurately obtained by the user through the correlation and mapping among the knowledge bases, and the important information can be quickly and effectively obtained from a large amount of information, the retrieved information is more extensive and comprehensive.
The above is a schematic configuration of a data processing apparatus of the present embodiment. It should be noted that the technical solution of the data processing apparatus and the technical solution of the data processing method belong to the same concept, and details that are not described in detail in the technical solution of the data processing apparatus can be referred to the description of the technical solution of the data processing method.
FIG. 4 illustrates a block diagram of a computing device 400 provided according to an embodiment of the present description. The components of the computing device 400 include, but are not limited to, a memory 410 and a processor 420. Processor 420 is coupled to memory 410 via bus 430 and database 450 is used to store data.
Computing device 400 also includes access device 440, access device 440 enabling computing device 400 to communicate via one or more networks 460. Examples of such networks include the Public Switched Telephone Network (PSTN), a Local Area Network (LAN), a Wide Area Network (WAN), a Personal Area Network (PAN), or a combination of communication networks such as the internet. The access device 440 may include one or more of any type of network interface (e.g., a Network Interface Card (NIC)) whether wired or wireless, such as an IEEE802.11 Wireless Local Area Network (WLAN) wireless interface, a worldwide interoperability for microwave access (Wi-MAX) interface, an ethernet interface, a Universal Serial Bus (USB) interface, a cellular network interface, a bluetooth interface, a Near Field Communication (NFC) interface, and so forth.
In one embodiment of the present description, the above-described components of computing device 400, as well as other components not shown in FIG. 4, may also be connected to each other, such as by a bus. It should be understood that the block diagram of the computing device architecture shown in FIG. 4 is for purposes of example only and is not limiting as to the scope of the present description. Those skilled in the art may add or replace other components as desired.
Computing device 400 may be any type of stationary or mobile computing device, including a mobile computer or mobile computing device (e.g., tablet, personal digital assistant, laptop, notebook, netbook, etc.), mobile phone (e.g., smartphone), wearable computing device (e.g., smartwatch, smartglasses, etc.), or other type of mobile device, or a stationary computing device such as a desktop computer or PC. Computing device 400 may also be a mobile or stationary server.
Wherein processor 420 is configured to execute the following computer-executable instructions:
receiving information to be inquired submitted by a user;
performing semantic analysis on the information to be queried to determine target keywords in the information to be queried;
searching query information associated with the target keyword in a preset supervision and compliance knowledge graph;
and sequencing the query information according to a preset sequencing rule, and displaying a sequencing result to a user.
Optionally, searching query information associated with the target keyword in a preset regulatory compliance knowledge graph, including:
entity linking is carried out in the preset supervision compliance knowledge map according to the target keyword to obtain a candidate entity;
and determining query information corresponding to the candidate entity in the knowledge graph.
Optionally, the sorting the query information according to a preset sorting rule includes:
acquiring the information release time of the query information and the association degree of the query information and the target keyword;
and sequencing the information identification of the query information according to the information release time and the association degree.
Optionally, the displaying the sorting result to the user includes:
and displaying the sequencing result to a user in a graphical visual interface mode.
Optionally, the method further includes:
receiving a query instruction sent by a user based on the sequencing result, wherein the query instruction carries a target information identifier;
and determining target information according to the target information identifier, and displaying the target information to a user.
Optionally, the receiving of the information to be queried submitted by the user includes:
and receiving the text or voice to be inquired submitted by the user.
The above is an illustrative scheme of a computing device of the present embodiment. It should be noted that the technical solution of the computing device and the technical solution of the data processing method belong to the same concept, and details that are not described in detail in the technical solution of the computing device can be referred to the description of the technical solution of the data processing method.
An embodiment of the present specification also provides a computer readable storage medium storing computer instructions that, when executed by a processor, are operable to:
receiving information to be inquired submitted by a user;
performing semantic analysis on the information to be queried to determine target keywords in the information to be queried;
searching query information associated with the target keyword in a preset supervision and compliance knowledge graph;
and sequencing the query information according to a preset sequencing rule, and displaying a sequencing result to a user.
Optionally, searching query information associated with the target keyword in a preset regulatory compliance knowledge graph, including:
entity linking is carried out in the preset supervision compliance knowledge map according to the target keyword to obtain a candidate entity;
and determining query information corresponding to the candidate entity in the knowledge graph.
Optionally, the sorting the query information according to a preset sorting rule includes:
acquiring the information release time of the query information and the association degree of the query information and the target keyword;
and sequencing the information identification of the query information according to the information release time and the association degree.
Optionally, the displaying the sorting result to the user includes:
and displaying the sequencing result to a user in a graphical visual interface mode.
Optionally, the method further includes:
receiving a query instruction sent by a user based on the sequencing result, wherein the query instruction carries a target information identifier;
and determining target information according to the target information identifier, and displaying the target information to a user.
Optionally, the receiving of the information to be queried submitted by the user includes:
and receiving the text or voice to be inquired submitted by the user.
The above is an illustrative scheme of a computer-readable storage medium of the present embodiment. It should be noted that the technical solution of the storage medium belongs to the same concept as the technical solution of the data processing method, and details that are not described in detail in the technical solution of the storage medium can be referred to the description of the technical solution of the data processing method.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The computer instructions comprise computer program code which may be in the form of source code, object code, an executable file or some intermediate form, or the like. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
It should be noted that, for the sake of simplicity, the foregoing method embodiments are described as a series of acts or combinations, but those skilled in the art should understand that the present disclosure is not limited by the described order of acts, as some steps may be performed in other orders or simultaneously according to the present disclosure. Further, those skilled in the art should also appreciate that the embodiments described in this specification are preferred embodiments and that acts and modules referred to are not necessarily required for this description.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
The preferred embodiments of the present specification disclosed above are intended only to aid in the description of the specification. Alternative embodiments are not exhaustive and do not limit the invention to the precise embodiments described. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the specification and its practical application, to thereby enable others skilled in the art to best understand the specification and its practical application. The specification is limited only by the claims and their full scope and equivalents.
Claims (14)
1. A method of data processing, comprising:
receiving information to be inquired submitted by a user;
performing semantic analysis on the information to be queried to determine target keywords in the information to be queried;
searching query information associated with the target keyword in a preset supervision and compliance knowledge graph;
and sequencing the query information according to a preset sequencing rule, and displaying a sequencing result to a user.
2. The data processing method of claim 1, finding query information associated with the target keyword in a preset regulatory compliance knowledge graph, comprising:
entity linking is carried out in the preset supervision compliance knowledge map according to the target keyword to obtain a candidate entity;
and determining query information corresponding to the candidate entity in the knowledge graph.
3. The data processing method of claim 1, wherein the query information is ranked according to a preset ranking rule, and the ranking comprises:
acquiring the information release time of the query information and the association degree of the query information and the target keyword;
and sequencing the information identification of the query information according to the information release time and the association degree.
4. The data processing method of claim 1, presenting the ranked results to a user, comprising:
and displaying the sequencing result to a user in a graphical visual interface mode.
5. The data processing method of claim 3, the method further comprising:
receiving a query instruction sent by a user based on the sequencing result, wherein the query instruction carries a target information identifier;
and determining target information according to the target information identifier, and displaying the target information to a user.
6. The data processing method of claim 1, receiving information to be queried submitted by a user, comprising:
and receiving the text or voice to be inquired submitted by the user.
7. A data processing apparatus comprising:
the receiving module is configured to receive information to be inquired submitted by a user;
the determining module is configured to perform semantic analysis on the information to be queried and determine a target keyword in the information to be queried;
a search module configured to search a preset regulatory compliance knowledge graph for query information associated with the target keyword;
and the display module is configured to sort the query information according to a preset sorting rule and display a sorting result to a user.
8. The data processing apparatus of claim 1, the lookup module further configured to:
entity linking is carried out in the preset supervision compliance knowledge map according to the target keyword to obtain a candidate entity;
and determining query information corresponding to the candidate entity in the knowledge graph.
9. The data processing apparatus of claim 1, the presentation module further configured to:
acquiring the information release time of the query information and the association degree of the query information and the target keyword;
and sequencing the information identification of the query information according to the information release time and the association degree.
10. The data processing apparatus according to claim 1, wherein the presentation module is further configured to present the ranking results to the user in the form of a graphical visual interface.
11. The data processing apparatus of claim 9, the apparatus further comprising:
the instruction receiving module is configured to receive a query instruction sent by a user based on the sorting result, wherein the query instruction carries a target information identifier;
and the information display module is configured to determine target information according to the target information identifier and display the target information to a user.
12. The data processing apparatus according to claim 1, wherein the receiving module is further configured to receive text to be queried or voice to be queried submitted by a user.
13. A computing device, comprising:
a memory and a processor;
the memory is configured to store computer-executable instructions, and the processor is configured to execute the computer-executable instructions to implement the method of:
receiving information to be inquired submitted by a user;
performing semantic analysis on the information to be queried to determine target keywords in the information to be queried;
searching query information associated with the target keyword in a preset supervision and compliance knowledge graph;
and sequencing the query information according to a preset sequencing rule, and displaying a sequencing result to a user.
14. A computer readable storage medium storing computer instructions which, when executed by a processor, carry out the steps of the data processing method of any one of claims 1 to 6.
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