Method and system for generating and displaying patent map suitable for enterprise patent management

Abstract

The invention provides a patent map generation and display method and system suitable for enterprise patent management, and the method comprises the following steps: S1, obtaining the target attribute information of a target and a sub-target, and constructing a target decomposition hierarchy graph; s2, acquiring sub-attribute information of the sub-targets, and matching the sub-attribute information with patent attribute information of existing patents of the enterprise to obtain a matching degree; s3, establishing association between the patent application number corresponding to the patent with the matching degree higher than the threshold value and the sub-target to obtain an association relationship; and S4, based on the association relationship and the target decomposition hierarchy graph, adopting a preset mode to generate a patent map. According to the method and the system, an enterprise can more intuitively know the association between a product or a service method and a patent, and can quickly and accurately know which patents are protected during right protection, so that the patent management efficiency and effect are improved, and the market competitiveness and intellectual property protection capability of the enterprise are enhanced.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular to a method and system for generating and displaying a patent map suitable for enterprise patent management. Background Art

[0002] In the prior art, the patent map of an enterprise usually simply lists the enterprise's patent information, such as patent name, patent number, technical field, inventor and other basic information, but does not clearly indicate the specific correspondence between these patents and the actual sales products or services provided. Furthermore, enterprises often do not conduct in-depth analysis of patent technologies, making it difficult to determine which patent technologies are actually applied to which functional components, or which key links in a specific service process are supported. This brings many problems to enterprises.

[0003] For the R&D personnel of an enterprise, it is difficult to intuitively understand which existing patents can provide technical inspiration for the products or services being developed, which is not conducive to technological innovation and product improvement. When planning products and market layout, it is also impossible to accurately determine which patents have a key impact on the market competitiveness of specific products or services, which may lead to unreasonable resource allocation.

[0004] For non-technical business personnel, such as managers, sales personnel and legal personnel, it is difficult to understand the content of the patent map due to its abstractness and complexity. The unintuitive patent map makes it difficult for them to quickly understand the relationship between the company's patent assets and actual business, increasing the cost and time of learning and use.

[0005] The problem is more prominent when companies need to defend their rights. Because the patent map is not intuitive, it is difficult for company personnel to quickly determine which patents can be used to protect specific products or services. This may result in the company being unable to accurately find the relevant patents as a legal basis in a timely manner during the rights protection process, delaying the timing of rights protection and increasing the cost of rights protection. In a fierce market competition environment, corporate products or services are at risk of infringement at any time. If the protected patents cannot be quickly identified, effective rights protection measures may not be taken in time after the infringement is discovered, giving the infringer more time to continue the infringement and causing greater losses to the company. Moreover, if the relevant patents cannot be accurately identified, the company may fail to defend its rights due to insufficient evidence or unclear legal basis during the rights protection process, which will not only cause economic losses, but also affect its market reputation and competitiveness.

[0006] At present, in order to determine which patents protect their products or services, companies need to spend a lot of time and energy studying patent maps and related patent documents, which greatly increases the cost of rights protection.

[0007] Through searching patent documents, it is found that publication number CN112966973B discloses a management system and method for goals and key results, which includes: relationship module, goal and key result creation module, historical data storage module, challenge judgment module, and visualization module. This patent lacks the function of displaying relevance on the patent map, and the visualization method is not intuitive and flexible enough.

[0008] In summary, in response to the above-mentioned problems of the prior art, studying a method and system for generating and displaying a patent map suitable for corporate patent management has become a key task that needs to be solved urgently. Summary of the invention

[0009] In view of the defects in the prior art, the purpose of the present invention is to provide a method and system for generating and displaying a patent map suitable for enterprise patent management.

[0010] A method for generating a patent map suitable for enterprise patent management provided by the present invention comprises the following steps:

[0011] Step S1, obtaining target attribute information and sub-targets of the target, and constructing a target decomposition hierarchy diagram;

[0012] Step S2, obtaining sub-attribute information of the sub-target, matching the sub-attribute information with the patent attribute information of the enterprise's existing patents to obtain a matching degree;

[0013] Step S3, associating the patent application number corresponding to the patent with a matching degree higher than the threshold with the sub-target to obtain an association relationship;

[0014] Step S4, based on the association relationship and the target decomposition hierarchy diagram, a patent map is generated using a preset method.

[0015] Preferably, step S1 includes the following sub-steps:

[0016] Step S1.1, obtain the data source corresponding to the target, perform lexical analysis on the data source to obtain a word list, and then determine the target attribute information through screening, and use clustering algorithm and classification algorithm to generate sub-targets according to the target attribute information;

[0017] Step S1.2, construct a target decomposition hierarchy diagram through target attribute information and sub-targets.

[0018] Preferably, step S2 includes the following sub-steps:

[0019] Step S2.1, using dependency syntactic analysis method to extract sub-attribute information of each sub-goal and generate sub-attribute information text;

[0020] Step S2.2, obtaining the existing patent collection of the enterprise, extracting the initial attribute information of each patent, and generating patent attribute information text;

[0021] Step S2.3, using the semantic matching method, compare the sub-attribute information text with the patent attribute information text one by one, and calculate the matching degree between each sub-target and each patent.

[0022] Preferably, step S2.2 also includes: by traversing the patent collection, finding other patents cited in each patent, and establishing a citation relationship chain; using a pre-trained technology classification model to classify the technical content of the patent, connect patents belonging to the same technical field, and establish a relationship chain of similar technical fields; by comparing the inventor list of the patent, determine the patents with common inventors, and establish a common inventor relationship chain. Finally, use the Neo4j graph database to store the enterprise patent knowledge graph, and based on the enterprise patent knowledge graph, convert the relationship information between patents into feature vectors or text descriptions that can be used for semantic matching, and add them to the patent attribute information text.

[0023] Preferably, in step S2.3, a word vector model is used to obtain a corresponding word vector for each word in the patent attribute information text through the word vector model, and then the word vectors are averaged or summed to obtain a preliminary vector of the entire patent attribute information text, and then the patent attribute information text and the preliminary vector are input into the language model of the Transformer architecture to obtain an encoded patent attribute information text vector; for the sub-attribute information text, the same word vector construction and semantic encoding operations are performed to obtain a sub-attribute information text vector, and then, combined with the cosine similarity calculation method, the matching degree between the combination of the sub-attribute information text vector of each sub-target and the patent attribute information text vector of the patent is calculated, and the matching degree calculation formula is:

[0024]

[0025] Among them, A and B are the sub-attribute information text vector of the sub-target and the patent attribute information text vector of the patent respectively. The numerator is the dot product of the two vectors, indicating their similarity, and the denominator is the product of the modulus lengths of the two vectors, which is used to normalize the similarity value.

[0026] Preferably, in step S4, the preset method is to create a two-dimensional or three-dimensional visualization interface.

[0027] Preferably, a two-dimensional or three-dimensional visualization interface is constructed with a target decomposition hierarchy diagram as the core framework, with the target located at the top level and the sub-targets distributed below the target as branch nodes. For sub-targets with dependencies, lines are used to connect them to represent the relationship between the sub-targets. Different types of sub-targets are distinguished by different colors, and the patent application number corresponding to the sub-target is displayed in the form of an icon around each sub-target.

[0028] The present invention also provides a method for displaying a patent map suitable for enterprise patent management, comprising the following steps:

[0029] Step S1, obtaining target attribute information and sub-targets of the target, and constructing a target decomposition hierarchy diagram;

[0030] Step S2, obtaining sub-attribute information of the sub-target, matching the sub-attribute information with the patent attribute information of the enterprise's existing patents to obtain a matching degree;

[0031] Step S3, associating the patent application number corresponding to the patent with a matching degree higher than the threshold with the sub-target to obtain an association relationship;

[0032] Step S4, based on the association relationship and the target decomposition hierarchy diagram, a patent map is generated in a preset manner;

[0033] Step S5, displaying the patent map on the user terminal.

[0034] Preferably, step S5 includes the following sub-steps:

[0035] Establishing architecture steps to construct a multi-dimensional data architecture of the patent map, which includes information on each key dimension of the patent;

[0036] An image generation step, in which a combination of two or three dimensions is randomly selected from the multidimensional data structure for display, and unselected dimensional information is mapped to the generated two or three-dimensional space in a preset manner;

[0037] User operation steps: the user zooms in on the map to observe the patent information of a specific area in more detail; zooms out on the map to obtain a more macroscopic perspective; moves the map at will to focus on the part of interest; and performs a reset operation to return to the initial state;

[0038] In the image visualization step, the two-dimensional or three-dimensional image is finely divided to create one or more quality levels, each of which has a preset resolution and rich level of detail. In terms of data transmission, the strategy of first transmitting one or more quality level data is adopted, and the current quality level data is intelligently cached according to the user's dimensional change needs. If a new two-dimensional or three-dimensional image needs to be displayed, new enhancement layer data is transmitted. The enhancement layer data is optimized and supplemented based on the cached quality level data, and finally the re-adjusted and optimized two-dimensional or three-dimensional image is displayed to the user.

[0039] The present invention also provides a patent map display system suitable for enterprise patent management, including:

[0040] Module M1, obtains the target attribute information and sub-targets of the target, and constructs the target decomposition hierarchy diagram;

[0041] Module M2, obtains the sub-attribute information of the sub-target, matches the sub-attribute information with the patent attribute information of the enterprise's existing patents, and obtains the matching degree;

[0042] Module M3, associates the patent application number corresponding to the patent with a matching degree higher than the threshold with the sub-goal to obtain an association relationship;

[0043] Module M4, based on the association relationship and target decomposition hierarchy diagram, generates patent maps in a preset manner;

[0044] Module M5 displays the patent map on the user terminal.

[0045] Compared with the prior art, the present invention has the following beneficial effects:

[0046] 1. The present invention can enable enterprises to more intuitively understand the relationship between products or service methods and patents, and can quickly and accurately know which patents are protected when safeguarding their rights, thereby improving the efficiency and effectiveness of patent management and enhancing the market competitiveness and intellectual property protection capabilities of enterprises.

[0047] 2. The present invention constructs an enterprise patent knowledge graph, considers citation relationships, relationships in similar technical fields, and relationships among common inventors, and converts relationship information into feature vectors or text descriptions that can be used for semantic matching and adds them to the patent attribute information text, thereby improving the accuracy and comprehensiveness of matching sub-goals with patents.

[0048] 3. The present invention uses a two-dimensional or three-dimensional visualization interface to generate a patent map, with a target decomposition hierarchy diagram as the core framework, which intuitively and clearly displays the relationship between targets, sub-targets and patents, making it easier for users to understand and analyze. The multi-dimensional data architecture is combined with the enterprise patent knowledge graph to enrich the display content and relevance of the patent map. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings:

[0050] Figure 1 The present invention is a flowchart of a method for generating a patent map suitable for enterprise patent management in an embodiment of the present invention. DETAILED DESCRIPTION

[0051] The present invention is described in detail below in conjunction with specific embodiments. The following embodiments will help those skilled in the art to further understand the present invention, but are not intended to limit the present invention in any form. It should be noted that, for those of ordinary skill in the art, several changes and improvements can also be made without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0052] Embodiment 1:

[0053] Figure 1 The present invention is a flowchart of a method for generating a patent map suitable for enterprise patent management in an embodiment of the present invention.

[0054] As shown in the figure, this embodiment provides a method for generating a patent map suitable for enterprise patent management, including the following steps:

[0055] Step S1, obtain the target attribute information and sub-targets of the target, and construct a target decomposition hierarchy diagram.

[0056] In this embodiment, the goal is a product or a service, the attribute information is various characteristics and descriptions related to the goal, and the sub-goals are the key steps and supports for achieving the goal.

[0057] Specifically, step S1 includes the following sub-steps:

[0058] Step S1.1, obtain the data source corresponding to the target, perform lexical analysis on the data source to obtain a word list, and then determine the target attribute information through screening. At the same time, clustering algorithm and classification algorithm are used to generate sub-targets according to the target attribute information.

[0059] In this embodiment, the data source is the product or service manual. The word list obtained by analysis is screened according to factors such as the frequency and importance of the words to determine the target attribute information, and the efficiency and accuracy of the automatic screening are obtained. At the same time, the target attribute information is preprocessed to remove noise and standardize. The clustering algorithm is used to group the preprocessed target attribute information to form different categories, and then the classification algorithm is used to subdivide each category to generate sub-goals.

[0060] Step S1.2, construct a target decomposition hierarchy diagram through target attribute information and sub-targets.

[0061] In this embodiment, the structure of the target decomposition hierarchy diagram is a tree structure, with the target at the top level and the sub-targets as branch nodes. For sub-targets with dependencies, lines are used to connect them to represent the relationship between them; different types of sub-targets are distinguished by different colors. This makes the target decomposition hierarchy diagram more intuitive and clear in reflecting the structure of the target and the relationship between the sub-targets. Each sub-target can be further decomposed into more specific sub-sub-targets, and the sub-sub-targets are leaf nodes.

[0062] Step S2, obtaining the sub-attribute information of the sub-target, matching the sub-attribute information with the patent attribute information of the enterprise's existing patents, and obtaining a matching degree.

[0063] Specifically, step S2 includes the following sub-steps:

[0064] Step S2.1, using dependency parsing method to extract sub-attribute information of each sub-target and generate sub-attribute information text.

[0065] Step S2.2, obtain the company's existing patent collection, extract the initial attribute information of each patent, and generate patent attribute information text.

[0066] Specifically, each patent is analyzed, and key information such as the patent application number, technical theme, invention content, and application field are extracted as initial attribute information to generate patent attribute information text.

[0067] Preferably, step S2.2 also includes: by traversing the patent collection, finding other patents cited in each patent, and establishing a citation relationship chain; using a pre-trained technology classification model to classify the technical content of the patent, connect patents belonging to the same technical field, and establish a relationship chain of similar technical fields; by comparing the inventor list of the patent, determine the patents with common inventors, and establish a common inventor relationship chain. Finally, use the Neo4j graph database to store the enterprise patent knowledge graph, and based on the enterprise patent knowledge graph, convert the relationship information between patents into feature vectors or text descriptions that can be used for semantic matching, and add them to the patent attribute information text.

[0068] Step S2.3, using the semantic matching method, compare the sub-attribute information text with the patent attribute information text one by one, and calculate the matching degree between each sub-target and each patent.

[0069] In this embodiment, the word vector model Word2Vec is used to obtain the corresponding word vector for each word in the patent attribute information text through the word vector model, and then the word vector is averaged or summed to obtain the preliminary vector of the entire patent attribute information text. The language model BERT of the Transformer architecture is then used to perform text semantic encoding. Specifically, the patent attribute information text and the preliminary vector are input into the language model together to obtain the encoded patent attribute information text vector; for the sub-attribute information text, the same word vector construction and semantic encoding operation are performed to obtain the sub-attribute information text vector, and then, combined with the cosine similarity calculation method, the matching degree between the combination of the sub-attribute information text vector of each sub-target and the patent attribute information text vector of the patent is calculated. The matching degree calculation formula is:

[0070]

[0071] Among them, A and B are the sub-attribute information text vector of the sub-target and the patent attribute information text vector of the patent respectively. The numerator is the dot product of the two vectors, indicating their similarity, and the denominator is the product of the modulus lengths of the two vectors, which is used to normalize the similarity value.

[0072] Step S3, associate the patent application number corresponding to the patent with a matching degree higher than the threshold with the sub-target to obtain an association relationship.

[0073] Specifically, if the enterprise has a higher requirement for patent relevance, a higher preset value may be selected, otherwise, a lower preset value may be selected. In this embodiment, the threshold is preset to 80%.

[0074] The patent application number corresponding to the patent is included in the patent attribute information text.

[0075] Step S4, based on the association relationship and the target decomposition hierarchy diagram, a patent map is generated using a preset method.

[0076] In this embodiment, the preset method is to create a two-dimensional or three-dimensional visualization interface.

[0077] Specifically, the two-dimensional or three-dimensional visualization interface is constructed with the target decomposition hierarchy diagram as the core framework, with the target located at the top level and the sub-targets distributed below the target as branch nodes. For sub-targets with dependencies, lines are used to connect them to represent the relationship between the sub-targets. Different types of sub-targets are distinguished by different colors, and around each sub-target, the patent application number corresponding to the sub-target is displayed in the form of an icon.

[0078] Embodiment 2:

[0079] This embodiment provides a method for displaying a patent map applicable to enterprise patent management, including the following steps:

[0080] Step S1, obtaining target attribute information and sub-targets of the target, and constructing a target decomposition hierarchy diagram;

[0081] Step S2, obtaining sub-attribute information of the sub-target, matching the sub-attribute information with the patent attribute information of the enterprise's existing patents to obtain a matching degree;

[0082] Step S3, associating the patent application number corresponding to the patent with a matching degree higher than the threshold with the sub-target to obtain an association relationship;

[0083] Step S4, based on the association relationship and the target decomposition hierarchy diagram, a patent map is generated in a preset manner;

[0084] Step S5, displaying the patent map on the user terminal.

[0085] In this embodiment, intuitive and easy-to-understand two-dimensional or three-dimensional images are used to display the patent map on the user terminal, which not only facilitates the user to conduct visual analysis of patent data, but also improves transmission efficiency through layered processing technology.

[0086] Specifically, step S5 includes the following sub-steps:

[0087] Establishing architecture steps to construct a multi-dimensional data architecture of the patent map, which includes information on each key dimension of the patent.

[0088] In this embodiment, key dimensional information includes application time, inventor, legal status, etc., and is combined with the enterprise patent knowledge graph to enrich the display content and relevance of the patent map.

[0089] The image generation step selects any two-dimensional or three-dimensional combination from the multidimensional data architecture for display, and maps the unselected dimensional information to the generated two-dimensional or three-dimensional space in a preset manner.

[0090] In this embodiment, the application time and legal status are selected, and the dimension information that is not directly selected is the inventor. In the two-dimensional or three-dimensional image, the patent application numbers related to the sub-targets will be distributed according to the application time and legal status, and the inventors will be mapped to the image by color to reflect more patent information.

[0091] User operation steps: the user zooms in on the map to observe the patent information of a specific area in more detail; zooms out on the map to obtain a more macro perspective; moves the map at will to focus on the part of interest; and performs a reset operation to return to the initial state.

[0092] In the image visualization step, the two-dimensional or three-dimensional image is finely divided to create one or more quality levels, each of which has a preset resolution and rich level of detail. In terms of data transmission, the strategy of transmitting one or more quality level data first is to avoid the jamming and delay caused by transmitting a large amount of data at one time. According to the user's dimensional change needs, the current quality level data is intelligently cached. If a new two-dimensional or three-dimensional image needs to be displayed, the new enhancement layer data is transmitted. The enhancement layer data is optimized and supplemented based on the cached quality level data, and finally the re-adjusted and optimized two-dimensional or three-dimensional image is displayed to the user.

[0093] In this embodiment, multiple quality levels are created according to the needs of different users. Images at lower quality levels present more general information, while images at higher quality levels can display detailed patent content and in-depth details, meeting the different needs of users who want to quickly understand the overall situation and users who want to delve into specific patents. At the same time, when a user views an image area of ​​a specific sub-target and its related patents twice within a few minutes, the data of the corresponding quality level of the area is cached, and the data can be refined and expanded based on the key dimension information of the patent in the cached quality level data to display more detailed descriptions of the patent technology.

[0094] Embodiment 3:

[0095] This embodiment provides a patent map display system suitable for enterprise patent management, which can be implemented by executing the process steps of a patent map display method suitable for enterprise patent management, that is, those skilled in the art can understand a patent map display method suitable for enterprise patent management as a preferred implementation of a patent map display system suitable for enterprise patent management.

[0096] The display system includes:

[0097] Module M1, obtains the target attribute information and sub-targets of the target, and constructs the target decomposition hierarchy diagram;

[0098] Module M2, obtains the sub-attribute information of the sub-target, matches the sub-attribute information with the patent attribute information of the enterprise's existing patents, and obtains the matching degree;

[0099] Module M3, associates the patent application number corresponding to the patent with a matching degree higher than the threshold with the sub-goal to obtain an association relationship;

[0100] Module M4, based on the association relationship and target decomposition hierarchy diagram, generates patent maps in a preset manner;

[0101] Module M5 displays the patent map on the user terminal.

[0102] Those skilled in the art know that, in addition to realizing the system and its various devices, modules, and units provided by the present invention in a purely computer-readable program code, it is entirely possible to realize the same functions in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, and embedded microcontrollers by logically programming the method steps. Therefore, the system and its various devices, modules, and units provided by the present invention can be considered as a hardware component, and the devices, modules, and units included therein for realizing various functions can also be regarded as structures within the hardware component; the devices, modules, and units for realizing various functions can also be regarded as both software modules for realizing the method and structures within the hardware component.

[0103] The above describes the specific embodiments of the present invention. It should be understood that the present invention is not limited to the above specific embodiments, and those skilled in the art can make various changes or modifications within the scope of the claims, which does not affect the essence of the present invention. In the absence of conflict, the embodiments of the present application and the features in the embodiments can be combined with each other arbitrarily.

Claims

1. A method for generating a patent map suitable for enterprise patent management, characterized in that: The steps include: Step S1, obtaining target attribute information and sub-targets of the target, and constructing a target decomposition hierarchy diagram; Step S2, obtaining sub-attribute information of the sub-target, matching the sub-attribute information with patent attribute information of the enterprise's existing patents to obtain a matching degree; Step S3, associating the patent application number corresponding to the patent with a matching degree higher than a threshold with the sub-target to obtain an association relationship; Step S4, based on the association relationship and the target decomposition hierarchy diagram, a patent map is generated in a preset manner.

2. The method for generating a patent map suitable for enterprise patent management according to claim 1, characterized in that: The step S1 includes the following sub-steps: Step S1.1, obtaining a data source corresponding to a target, performing lexical analysis on the data source to obtain a word list, then determining target attribute information by screening, and using a clustering algorithm and a classification algorithm to generate sub-targets according to the target attribute information; Step S1.2, constructing a target decomposition hierarchy diagram through the target attribute information and the sub-targets.

3. The method for generating a patent map suitable for enterprise patent management according to claim 1, characterized in that: The step S2 includes the following sub-steps: Step S2.1, using dependency syntactic analysis method to extract sub-attribute information of each sub-goal and generate sub-attribute information text; Step S2.2, obtaining the existing patent collection of the enterprise, extracting the initial attribute information of each patent, and generating patent attribute information text; Step S2.3, using a semantic matching method, compare the sub-attribute information text with the patent attribute information text one by one, and calculate the matching degree between each sub-target and each patent.

4. A method for generating a patent map suitable for enterprise patent management according to claim 3, characterized in that: The step S2.2 also includes: traversing the patent collection, finding other patents cited in each patent, and establishing a citation relationship chain; using a pre-trained technology classification model to classify the technical content of the patent, connecting patents belonging to the same technical field, and establishing a relationship chain of similar technical fields; by comparing the inventor lists of the patents, determining patents with common inventors, and establishing a common inventor relationship chain, and finally, using the Neo4j graph database to store the enterprise patent knowledge graph, based on the enterprise patent knowledge graph, converting the relationship information between patents into feature vectors or text descriptions that can be used for semantic matching, and adding them to the patent attribute information text.

5. According to claim 3, a method for generating a patent map suitable for enterprise patent management is characterized in that: In the step S2.3, a word vector model is used to obtain a corresponding word vector for each word in the patent attribute information text through the word vector model, and then the word vector is averaged or summed to obtain a preliminary vector of the entire patent attribute information text, and then the patent attribute information text and the preliminary vector are input into the language model of the Transformer architecture to obtain an encoded patent attribute information text vector; for the sub-attribute information text, the same word vector construction and semantic encoding operation are performed to obtain a sub-attribute information text vector, and then, combined with the cosine similarity calculation method, the matching degree between the combination of the sub-attribute information text vector of each sub-target and the patent attribute information text vector of the patent is calculated, and the matching degree calculation formula is: Among them, A and B are the sub-attribute information text vector of the sub-target and the patent attribute information text vector of the patent respectively. The numerator is the dot product of the two vectors, indicating their similarity, and the denominator is the product of the modulus lengths of the two vectors, which is used to normalize the similarity value.

6. The method for generating a patent map suitable for enterprise patent management according to claim 1, characterized in that: In the step S4, the preset method is to create a two-dimensional or three-dimensional visualization interface.

7. The method for generating a patent map suitable for enterprise patent management according to claim 6, characterized in that: The two-dimensional or three-dimensional visualization interface is constructed with the target decomposition hierarchy diagram as the core framework, with the target located at the top level and the sub-targets distributed below the target as branch nodes. For sub-targets with dependencies, lines are used to connect them to represent the relationship between the sub-targets. Different types of sub-targets are distinguished by different colors, and the patent application number corresponding to the sub-target is displayed in the form of an icon around each sub-target.

8. A method for displaying a patent map suitable for enterprise patent management, characterized in that: The steps include: Step S1, obtaining target attribute information and sub-targets of the target, and constructing a target decomposition hierarchy diagram; Step S2, obtaining sub-attribute information of the sub-target, matching the sub-attribute information with patent attribute information of the enterprise's existing patents to obtain a matching degree; Step S3, associating the patent application number corresponding to the patent with a matching degree higher than a threshold with the sub-target to obtain an association relationship; Step S4, generating a patent map in a preset manner based on the association relationship and the target decomposition hierarchy diagram; Step S5, displaying the patent map on the user terminal.

9. A method for displaying a patent map suitable for enterprise patent management according to claim 8, characterized in that: The step S5 includes the following sub-steps: Establishing a framework step, constructing a multidimensional data framework of the patent map, wherein the multidimensional data framework includes information of each key dimension of the patent; An image generation step, arbitrarily selecting a combination of two or three dimensions from the multi-dimensional data architecture for display, and mapping unselected dimensional information to the generated two or three-dimensional space in a preset manner; User operation steps: the user zooms in on the map to observe the patent information of a specific area in more detail; Zoom out to get a more macro view; move the map around to focus on the area of ​​interest; reset to return to the initial state; In the step of visualizing the image, the two-dimensional or three-dimensional image is finely divided to create one or more quality levels, each of which has a preset resolution and a rich degree of detail. In terms of data transmission, a strategy of first transmitting one or more quality level data is adopted, and the current quality level data is intelligently cached according to the needs of user dimensional changes. If a new two-dimensional or three-dimensional image needs to be displayed, new enhancement layer data is transmitted. The enhancement layer data is optimized and supplemented based on the cached quality level data, and finally a re-adjusted and optimized two-dimensional or three-dimensional image is displayed to the user.

10. A patent map display system suitable for enterprise patent management, characterized in that: include: Module M1, obtains the target attribute information and sub-targets of the target, and constructs the target decomposition hierarchy diagram; Module M2, obtaining sub-attribute information of the sub-target, matching the sub-attribute information with patent attribute information of the enterprise's existing patents to obtain a matching degree; Module M3, associates the patent application number corresponding to the patent with a matching degree higher than a threshold with the sub-target to obtain an association relationship; Module M4, based on the association relationship and the target decomposition hierarchy diagram, generates a patent map in a preset manner; Module M5 displays the patent map on the user terminal.

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