Value cross-domain integration method and system for text travel data

Abstract

The invention provides a valuable cross-domain integration method and system for text travel data, and belongs to the technical field of data management. Comprising the following steps: performing tagging processing on obtained text travel data, and generating a basic code containing place, type and time information; dividing the text travel data after the basic code is formed into 8 domains and 4 levels according to the sensitivity degree and the influence degree of the business object, so as to generate a category code; integrating the basic code and the category code to realize priority division, and generating a sequence code; combining the basic code, the category code and the sequence code into a data catalogue with a unique identification data entry; based on the data catalogue, utilizing a block chain technology to store hash information; and constructing a text travel data asset directory based on the completed data catalogue, and realizing cross-domain integration of the text travel data. According to the method, the complex, multi-source and heterogeneous text travel data are quickly classified and graded through data cataloguing, and a more effective text travel data priority governance strategy can be formulated.

Description

Technical Field

[0001] This invention belongs to the field of data governance technology, and in particular relates to a method and system for cross-domain integration of cultural and tourism data for value creation. Background Technology

[0002] The statements in this section are merely background information related to the present invention and do not necessarily constitute prior art.

[0003] In the current context of the development of data element value, data ownership confirmation and cross-domain data circulation have become necessary links to support the construction of data assets. Accelerating the promotion of data element value has become an inevitable choice to support the digital transformation of the cultural and tourism industry in the current and future stages.

[0004] Currently, the governance of data element value in the cultural and tourism sector faces the following main challenges: First, the data subjects are complex: cultural and tourism data originates from tourists, tourism enterprises, transportation companies, and internet platforms; second, the data has strong spatiotemporal attributes: tourism behavior often exhibits strong spatial and temporal characteristics, tourism activities are highly dependent on geographical location, and are affected by factors such as seasons and holidays; third, the data is multi-source and heterogeneous: data generated by tourism activities includes comments, pictures, and videos from tourists, as well as sensor data from the edge, navigation-related geographic data, and mobile device-related data. However, while the demand for accelerated circulation of cultural and tourism data is increasing daily, existing technologies are currently unable to address these issues and formulate effective priority governance strategies for cultural and tourism data, given that data element trading is still in its early stages. Summary of the Invention

[0005] To overcome the shortcomings of the existing technologies, this invention provides a method and system for cross-domain integration of cultural and tourism data for value creation. By cataloging data, it can quickly classify and grade complex, multi-source, and heterogeneous cultural and tourism data, and formulate more effective priority governance strategies for cultural and tourism data.

[0006] To achieve the above objectives, one or more embodiments of the present invention provide the following technical solutions: The first aspect of this invention provides a method for cross-domain integration of cultural and tourism data for value creation.

[0007] A method for cross-domain integration of cultural and tourism data for value creation includes: Acquire cultural and tourism data, and during the acquisition process, tag the cultural and tourism data to generate a basic code containing location, type, and time information; Based on the sensitivity and impact of the business objects, the cultural and tourism data after forming the basic code is divided into 8 domains and 4 levels, generating category codes that represent the data business affiliation and security level; The basic code and category code are integrated and vectorized. Priority is determined by combining the classification and grading of cultural and tourism data with the cataloging basis, and a sequence code is generated. The basic code, category code and sequence code are combined into a data catalog with a unique identifier for each data entry. Based on the data cataloging, digital watermarks are added to the cultural and tourism data to identify ownership, and hash information is stored using blockchain technology; a cultural and tourism data asset catalog is constructed based on the completed data cataloging, and cross-domain integration of cultural and tourism data is achieved according to the classification and grading standards of cultural and tourism data.

[0008] Furthermore, the tagging process involves tagging the location, type, and time of the cultural and tourism data. The location is selected from the first six digits of the national administrative code. The type is categorized into text, image, audio, video, geospatial data, sensor data, user-generated content, database files, metadata, and others. The time is encoded using eight digits: year, month, and day, and is formatted as administrative code + data type + time.

[0009] Furthermore, the eight domains include resource survey, heritage protection, cultural and tourism integration, market supervision, public services, publicity and promotion, safety and emergency response, and statistical decision-making; the four levels include public, internal, restricted, and confidential.

[0010] Furthermore, the first 8 bits of the category code correspond to the eight fields in the 8 fields respectively. When the data belongs to the current field in the 8 fields, it is recorded as 1; when the data does not belong to the current field in the 8 fields, it is recorded as 0. The data level corresponding to the category code is selected with the highest data security level.

[0011] Furthermore, the priority division is based on three dimensions: data security level, data value level, and data processing difficulty. Among them, in terms of the priority of data security level, confidential > restricted > internal > public; in terms of the priority of data value level and data processing difficulty, high data value + low data processing difficulty > high data value + low data processing difficulty > low data value + low data processing difficulty > low data value + high data processing difficulty.

[0012] Furthermore, the calculation result of the priority is expressed as follows: ; in, Indicates data priority; , and These represent the data security level, data value level, and data processing difficulty, respectively.

[0013] Furthermore, the data encoding comprises three segments: a basic code, a category code, and a sequence code; wherein the basic code is 15 bits, the category code is 9 bits, and the sequence code is 3 bits.

[0014] A second aspect of the present invention provides a cross-domain integration system for the value creation of cultural and tourism data.

[0015] A cross-domain integration system for the value creation of cultural and tourism data includes: The basic code generation module is configured to: acquire cultural and tourism data, and during the acquisition process, tag the cultural and tourism data to generate a basic code containing location, type and time information; The category code generation module is configured to divide the cultural and tourism data after the basic code is formed into 8 domains and 4 levels according to the sensitivity and impact of the business objects, and generate category codes that represent the data business affiliation and security level. The sequence code generation module is configured to: integrate the basic code and category code for vectorization, combine the classification and grading of cultural and tourism data with the cataloging basis to achieve priority division, and generate sequence codes; The data cataloging module is configured to combine the base code, category code, and sequence code into a data catalog with unique identifiers for data entries. The blockchain storage module is configured to: add digital watermarks to cultural and tourism data to identify ownership based on the data catalog, and use blockchain technology to store hash information; The cross-domain integration module is configured to: construct a cultural and tourism data asset catalog based on the completed data catalog, and realize cross-domain integration of cultural and tourism data according to the classification and grading standards of cultural and tourism data. A third aspect of the present invention provides a computer-readable storage medium having a program stored thereon, which, when executed by a processor, implements the steps of a method for cross-domain integration of cultural and tourism data value as described in the first aspect of the present invention.

[0016] The fourth aspect of the present invention provides an electronic device, including a memory, a processor, and a program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of a method for cross-domain integration of cultural and tourism data value as described in the first aspect of the present invention.

[0017] The above one or more technical solutions have the following beneficial effects: This invention first tags cultural and tourism data to generate basic codes containing location, type, and time information. Then, based on the sensitivity and impact on business objects, the data, after forming the basic codes, is divided into 8 domains and 4 levels, generating category codes. Finally, through priority allocation, sequence codes are generated, integrating them into a data catalog with uniquely identified data entries. This invention enables rapid classification and grading of complex, multi-source, and heterogeneous cultural and tourism data through data cataloging, and, combined with the seasonal characteristics of cultural and tourism data, formulates a data priority governance strategy. It effectively addresses the problems of complex data subjects, strong spatiotemporal attributes, and multi-source heterogeneity in cultural and tourism data, thereby enabling the formulation of more effective cultural and tourism data priority governance strategies.

[0018] Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0019] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.

[0020] Figure 1 This is a flowchart of a method for cross-domain integration of cultural and tourism data for value creation, as described in Embodiment 1 of the present invention. Detailed Implementation

[0021] It should be noted that the following detailed descriptions are exemplary and intended to provide further illustration of the invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0022] It should be noted that the terminology used herein is for the purpose of describing particular implementations only and is not intended to limit the exemplary implementations of the present invention.

[0023] Where there is no conflict, the embodiments and features in the embodiments of the present invention can be combined with each other.

[0024] Overall Approach: This invention provides a method for cross-domain integration and value creation of cultural and tourism data. The design principles of this method are: 1) Conducting data governance in the context of large volume and high concurrency, addressing multi-source heterogeneous data, and considering the strong seasonality of cultural and tourism data, researching and formulating a priority-based data governance scheme, clarifying data priorities through data classification, grading, cataloging, and other processes; 2) After completing data governance, clarifying data ownership through data watermarking and blockchain technologies; 3) Conducting cross-domain data transmission and sharing to support the value creation of data elements.

[0025] Example 1 This embodiment discloses a method for cross-domain integration of cultural and tourism data for value creation.

[0026] like Figure 1 As shown, a method for cross-domain integration of cultural and tourism data for value creation includes: Step S1: Acquire cultural and tourism data, and during the acquisition process, tag the cultural and tourism data to generate a basic code containing location, type and time information; Step S2: Divide the cultural and tourism data after forming the basic code into 8 domains and 4 levels according to the sensitivity and impact of the business objects, and generate category codes that represent the data business affiliation and security level; Step S3: Integrate the basic code and category code for vectorization, combine the classification and grading of cultural and tourism data with the cataloging basis to achieve priority division, and generate sequence codes; combine the basic code, category code and sequence code into a data catalog with unique identifier data entries; Step S4: Based on the data cataloging, add digital watermarks to the cultural and tourism data to identify ownership, and use blockchain technology to store hash information; construct a cultural and tourism data asset catalog based on the completed data cataloging, and realize cross-domain integration of cultural and tourism data according to the classification and grading standards of cultural and tourism data.

[0027] Based on the above process, this invention enables rapid classification and grading of complex, multi-source, and heterogeneous cultural and tourism data through data cataloging, thereby allowing for the formulation of more effective priority governance strategies for cultural and tourism data. To facilitate understanding of the technical solution of this invention, the specific implementation methods of this invention will be further explained and described below.

[0028] In step S1, cultural and tourism data is acquired, and during the acquisition process, the cultural and tourism data is tagged to generate a basic code containing location, type, and time information.

[0029] During the data acquisition phase, the location, type, and time of the cultural and tourism data are preprocessed to form the basic data code. The location code uses the first six digits of the national administrative code. The data types are categorized as text (T), image (I), audio (A), video (V), geospatial data (G), sensor data (S), user-generated content (U), database file (D), metadata (M), and other (O). The time code uses a total of eight digits: year, month, and day. The coding method is administrative code + data type + time.

[0030] In step S2, the cultural and tourism data after forming the basic code is divided into 8 domains and 4 levels according to the sensitivity and impact of the business objects, and a category code representing the data business affiliation and security level is generated.

[0031] After data preprocessing and basic coding are completed, cultural and tourism data are classified according to their importance. Based on the classification method of the cultural and tourism industry, the data is divided into 8 domains and 4 levels according to the sensitivity and impact on the business objects. The 8 domains are resource survey, heritage protection, cultural and tourism integration, market supervision, public services, publicity and promotion, safety and emergency response, and statistical decision-making. The 4 levels are public (scenic spot introductions, tour guide scripts, etc.), internal (enterprise monthly operation reports, tourist heat maps, etc.), restricted (tourist real-name information, ticketing logs, etc.), and confidential (related to terrorism and stability, undisclosed archaeological coordinates, etc.).

[0032] In the process of constructing category codes for cultural and tourism data, given the overlapping attribution issues that exist in the actual process of cultural and tourism data, such as ticketing information being classified under market supervision, public services, and statistical decision-making, the cataloging and coding process will display all overlapping attributions of the eight categories of cultural and tourism data, selecting a total of eight digits. The data level will be selected according to the principle of selecting the highest level, with a total of one digit.

[0033] The first 8 digits of the data category code -xxxxxxxxx correspond to the 8 fields of resource census, heritage protection, cultural tourism integration, market supervision, public services, publicity and promotion, safety and emergency response, and statistical decision-making, respectively; 1 is the number when belonging to the field and 0 is the number when not belonging to the field. The data level is selected from the highest level of data security, which is public (4), internal (3), restricted (2), and confidential (1).

[0034] In step S3, the basic code and category code are integrated and vectorized. Priority is determined by combining the classification and grading of cultural and tourism data with the cataloging basis, and a sequence code is generated. The basic code, category code and sequence code are combined into a data catalog with unique identifiers for data entries.

[0035] By integrating the basic data code and category code, and combining the data classification, grading and cataloging foundation, the data is prioritized based on three dimensions: data security level, data value level, and data processing difficulty.

[0036] In terms of data security level priority, confidential > restricted > internal > public; in terms of data valuation and data processing difficulty priority, high data value + low data processing difficulty > high data value + data processing difficulty > low data value + low data processing difficulty > low data value + high data processing difficulty.

[0037] Based on a clear understanding of the basic and category codes, vectorization is performed. Data processing priority is calculated using three dimensions: data security level, data value level, and data processing difficulty. The priority calculation result serves as the data's sequence code, and the number of bits in the sequence code can be limited according to the data volume. ; in, Indicates data priority; , and These are the three components of the vector, representing the data security level, data value level, and data processing difficulty, respectively.

[0038] The priority calculation function is expressed as: ; in, , and These represent the weights corresponding to data security level, data value level, and data processing difficulty, respectively. This represents a random number between 0 and 0.1, ensuring that the differences in the original values ​​are amplified.

[0039] In data security level In terms of confidentiality, the order is: confidential > restricted > internal > public. In terms of data value level In terms of safety and emergency response > resource survey > cultural and tourism integration > heritage protection > statistical decision-making > market supervision > public services > publicity and promotion; In terms of data processing difficulty In terms of data types, Video (V) > Audio (A) > Image (I) > User-Generated Content (U) > Geospatial Data (G) > Sensor Data (S) > Text (T) > Database Files (D) > Metadata (M) > Other (O).

[0040] In specific calculations , This is to reserve space for calculating other factors later. Data security level. With the level of data value This is obtained by reading the category code; among them... The value is affected by the security classification; the higher the classification, the larger the value. , Business-related weights (configured by the scenario); data processing difficulty Obtained by reading the basic code; the higher the difficulty, the better. The larger the value, the better. `rand(0, 0.1)` is a random number between 0 and 0.1, ensuring that the differences in the original values ​​are amplified. When dealing with massive amounts of data, more efficient computation can be achieved through parallel processing.

[0041] After calculating the base code, category code, and priority of the data, the data cataloging can be completed. The cataloged data consists of three segments: base code, category code, and sequence code; the base code is 15 digits, the category code is 9 digits, and the sequence code is 3 digits.

[0042] In step S4, based on data cataloging, digital watermarks are added to cultural and tourism data to identify ownership, and hash information is stored using blockchain technology; a catalog of cultural and tourism data assets is constructed based on the completed data cataloging, and cross-domain integration of cultural and tourism data is achieved according to the classification and grading standards of cultural and tourism data.

[0043] After data cataloging is completed, digital watermarking technology is used to add information about the data governance party and the data owner to the data. Differentiated data watermarking methods are selected for different data types. By reading the encoded information, the data type (such as image, text, audio, video, etc.) and data security level are identified. For massive amounts of data, the data is prioritized based on the maturity of existing technologies, and data watermarks are added accordingly. Referring to the characteristics of cultural and tourism data, image and text data account for the highest proportion. In terms of priority selection, the watermarks are added in the following order: text (T) > image (I) > user-generated content (U, mainly text and image) > audio (A) > video (V) > database file (D) > metadata (M) > sensor data (S) > geospatial data (G) > other (O).

[0044] After the priority of data watermarking is determined, each data is embedded with watermark in the form of content watermark + metadata watermark (i.e., main + auxiliary) during the watermarking process.

[0045] By leveraging blockchain technology to ensure the immutability and uniqueness of its data, and targeting massive amounts of data, it combines a MerkleTree hierarchical structure with the classification and grading of cultural and tourism data. The top layer (hash_root) represents the root hash of the entire cultural and tourism data system, generated by combining the secondary hash values ​​of eight business domains. The middle layer (hash_domain) treats each business domain as an independent subtree, with its hash generated by the tertiary hash values ​​of four sensitivity levels within that domain. The bottom layer (hash_leaf) represents the specific data type under each sensitivity level, directly storing the hash value of the corresponding data. In terms of blockchain storage strategy, only hashes and indexes are stored on-chain, while the original data and watermark text are stored off-chain to reduce on-chain pressure. Simultaneously, for massive amounts of data, the root hash and Merkle path information of key levels (such as business domain hashes) are stored on-chain.

[0046] After completing data cataloging, data governance, and preliminary data ownership confirmation, the initial construction of the data asset catalog will be carried out. The asset catalog will be built based on the information foundation of data cataloging and data watermarking. The data asset catalog covers data name, data type, data security level, data provider, data governance time, data openness type, etc.

[0047] After the initial construction of the data asset catalog is completed, cross-domain data transfer and sharing can be leveraged. Among the four levels of cultural and tourism data, publicly available data is shared unconditionally, internal and restricted data are shared conditionally, and confidential data is shared after anonymization, to support subsequent rights confirmation and data valuation. Data is managed through classification, grading, and cataloging, achieving tagged management.

[0048] To further illustrate the technical solution of the present invention, this embodiment takes data collected at the Yellow River estuary as an example. The location, type, and time of the data are preprocessed (i.e., tagged) to form the basic code of cultural and tourism data. The data code is 37****I20250830, where 37**** is the administrative code of the marked location, I represents image data, and 20250830 represents the specific time.

[0049] Based on the preliminary cataloging data, the information is classified and graded according to its field. The category code is 000110012. The first 8 digits correspond to 8 fields: resource census, heritage protection, cultural tourism integration, market supervision, public services, publicity and promotion, safety and emergency response, and statistical decision-making. This indicates that the data belongs to the three fields of market supervision, public services, and statistical decision-making. The last digit '2' indicates that the highest level of data security is selected, indicating that the ticketing information is classified as restricted.

[0050] Data processing priority is calculated by combining data cataloging information. A priority calculation function is used to calculate data priority. During sequence code calculation, the values ​​of various parameters are adjusted according to the actual data volume and business priority to limit the number of bits in the sequence code. ; After completing the priority calculation, the sequence code of the data can be obtained. After completing the calculation of the basic code, category code, and priority of the data, the data cataloging can be completed. The cataloged data contains three segments: basic code, category code, and sequence code. The specific calculation results are roughly as follows.

[0051] 37****I20250830-000110012-1.09; Facing massive amounts of cultural and tourism data, we identify data cataloging information, address issues such as duplicate or confidential content in images, and combine preliminary cataloging information to form metadata, adding metadata and image watermarks.

[0052] The metadata of the watermarked data (including watermark embedding time, embedding location, embedding algorithm, etc.) is recorded in the data cataloging system. For massive datasets, the Merkle Tree algorithm is used to calculate the hash value of the data. First, the underlying hash (hash_leaf) of a single data sheet after data integration with the watermark is calculated. Then, a small Merkle subtree is constructed for each sensitivity level's underlying hash (hash_leaf) set, and the root hash of the subtree is calculated. The root hashes of the four sensitivity levels are then combined to calculate the second-level hash (middle-level hash) of the business domain minus the business domain hash (hash_domain), which serves as the verification anchor for the data in that domain. Subsequently, the eight business domain hashes are arranged in a fixed order to construct the top-level Merkle Tree, and the root hash is calculated. After the calculation is completed, the root hash (hash_root) and path information of the entire cultural tourism data system are periodically updated and uploaded to the blockchain to ensure the integrity and immutability of the data can be verified later.

[0053] The initial construction of a data asset catalog is underway. This catalog, built upon data cataloging and watermarking, will cover data name, data type, security classification, data provider, data governance period, and open data. After the initial construction of the data asset catalog is completed, cross-domain data transfer and sharing can be facilitated. Among the four levels of cultural and tourism data, publicly available data will be shared unconditionally, internal and restricted data will be shared conditionally, and confidential data will be shared after anonymization, supporting subsequent rights confirmation and data valuation. Data will be managed through classification, grading, and cataloging, achieving tagged data management.

[0054] Example 2 This embodiment discloses a cross-domain integration system for the value creation of cultural and tourism data.

[0055] A cross-domain integration system for the value creation of cultural and tourism data includes: The basic code generation module is configured to: acquire cultural and tourism data, and during the acquisition process, tag the cultural and tourism data to generate a basic code containing location, type and time information; The category code generation module is configured to divide the cultural and tourism data after the basic code is formed into 8 domains and 4 levels according to the sensitivity and impact of the business objects, and generate category codes that represent the data business affiliation and security level. The sequence code generation module is configured to: integrate the basic code and category code for vectorization, combine the classification and grading of cultural and tourism data with the cataloging basis to achieve priority division, and generate sequence codes; The data cataloging module is configured to combine the base code, category code, and sequence code into a data catalog with unique identifiers for data entries. The blockchain storage module is configured to: add digital watermarks to cultural and tourism data to identify ownership based on the data catalog, and use blockchain technology to store hash information; The cross-domain integration module is configured to: construct a cultural and tourism data asset catalog based on the completed data catalog, and realize cross-domain integration of cultural and tourism data according to the classification and grading standards of cultural and tourism data. Example 3 The purpose of this embodiment is to provide a computer-readable storage medium.

[0056] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of a method for cross-domain integration of cultural and tourism data value as described in Embodiment 1 of this disclosure.

[0057] Example 4 The purpose of this embodiment is to provide an electronic device.

[0058] An electronic device includes a memory, a processor, and a program stored in the memory and executable on the processor. When the processor executes the program, it implements the steps in a method for cross-domain integration of cultural and tourism data value as described in Embodiment 1 of this disclosure.

[0059] The steps and methods involved in the apparatuses of Embodiments 2, 3, and 4 above correspond to those in Embodiment 1. For specific implementation details, please refer to the relevant description section of Embodiment 1. The term "computer-readable storage medium" should be understood as a single medium or multiple media including one or more instruction sets; it should also be understood as including any medium capable of storing, encoding, or carrying an instruction set for execution by a processor and enabling the processor to perform any of the methods in this invention.

[0060] Those skilled in the art will understand that the modules or steps of the present invention described above can be implemented using general-purpose computer devices. Optionally, they can be implemented using computer-executable program code, thereby allowing them to be stored in a storage device for execution by a computer device, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. The present invention is not limited to any particular combination of hardware and software.

[0061] While the specific embodiments of the present invention have been described above in conjunction with the accompanying drawings, this is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art without creative effort based on the technical solutions of the present invention are still within the scope of protection of the present invention.

Claims

1. A method for cross-domain integration of cultural and tourism data for value creation, characterized in that, include: Acquire cultural and tourism data, and during the acquisition process, tag the cultural and tourism data to generate a basic code containing location, type, and time information; Based on the sensitivity and impact of the business objects, the cultural and tourism data after forming the basic code is divided into 8 domains and 4 levels, generating category codes that represent the data business affiliation and security level; The basic code and category code are integrated and vectorized. Priority is determined by combining the classification and grading of cultural and tourism data with the cataloging basis, and a sequence code is generated. The basic code, category code, and sequence code are combined into a data catalog with uniquely identified data entries; Based on the data cataloging, digital watermarks are added to the cultural and tourism data to identify ownership, and blockchain technology is used to store hash information; Based on the completed data cataloging, a catalog of cultural and tourism data assets is constructed, and cross-domain integration of cultural and tourism data is achieved in accordance with the classification and grading standards of cultural and tourism data.

2. The method for cross-domain integration of cultural and tourism data for value creation as described in claim 1, characterized in that, The tagging process involves tagging the location, type, and time of the cultural and tourism data. The location is selected from the first six digits of the national administrative code. The type is categorized into text, image, audio, video, geospatial data, sensor data, user-generated content, database files, metadata, and others. The time is encoded using eight digits: year, month, and day, and is formatted as administrative code + data type + time.

3. The method for cross-domain integration of cultural and tourism data for value creation as described in claim 1, characterized in that, The eight domains include resource survey, heritage protection, cultural and tourism integration, market supervision, public services, publicity and promotion, safety and emergency response, and statistical decision-making; the four levels include public, internal, restricted, and confidential.

4. The method for cross-domain integration of cultural and tourism data for value creation as described in claim 1, characterized in that, The first 8 digits of the category code correspond to the eight fields in the 8 fields. When the data belongs to the current field in the 8 fields, it is recorded as 1; when the data does not belong to the current field in the 8 fields, it is recorded as 0. The data level corresponding to the category code is selected from the highest data security level.

5. A method for cross-domain integration of cultural and tourism data for value creation as described in claim 1, characterized in that, The priority division is based on three dimensions: data security level, data value level, and data processing difficulty. Among them, in terms of data security level priority, confidential > restricted > internal > public; in terms of data value level and data processing difficulty priority, high data value + low data processing difficulty > high data value + low data processing difficulty > low data value + low data processing difficulty > low data value + high data processing difficulty.

6. The method for cross-domain integration of cultural and tourism data for value creation as described in claim 5, characterized in that, The result of the priority calculation is expressed as follows: ； in, Indicates data priority; , and These represent the data security level, data value level, and data processing difficulty, respectively.

7. The method for cross-domain integration of cultural and tourism data for value creation as described in claim 1, characterized in that, The data encoding comprises three segments: a basic code, a category code, and a sequence code; wherein the basic code is 15 bits, the category code is 9 bits, and the sequence code is 3 bits.

8. A cross-domain integration system for the value creation of cultural and tourism data, characterized in that: include: The basic code generation module is configured to: acquire cultural and tourism data, and during the acquisition process, tag the cultural and tourism data to generate a basic code containing location, type and time information; The category code generation module is configured to divide the cultural and tourism data after the basic code is formed into 8 domains and 4 levels according to the sensitivity and impact of the business objects, and generate category codes that represent the data business affiliation and security level. The sequence code generation module is configured to: integrate the basic code and category code for vectorization, combine the classification and grading of cultural and tourism data with the cataloging basis to achieve priority division, and generate sequence codes; The data cataloging module is configured to combine the base code, category code, and sequence code into a data catalog with unique identifiers for data entries. The blockchain storage module is configured to: add digital watermarks to cultural and tourism data to identify ownership based on the data catalog, and use blockchain technology to store hash information; The cross-domain integration module is configured to: construct a cultural and tourism data asset catalog based on the completed data catalog, and realize cross-domain integration of cultural and tourism data according to the classification and grading standards of cultural and tourism data.

9. A computer-readable storage medium having a program stored thereon, characterized in that, When executed by the processor, the program implements the steps of the method for cross-domain integration of cultural and tourism data value as described in any one of claims 1-7.

10. An electronic device, comprising a memory, a processor, and a program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps in the method for cross-domain integration of cultural and tourism data value as described in any one of claims 1-7.

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