Processing method and system of data element credible circulation technology

Abstract

The invention discloses a processing method and system for a data element credible circulation technology, and belongs to the field of data element credible circulation technology process.The method comprises the steps that circulatory and credible technology text data sets are preprocessed, the similarity of the circulatory and credible technology text data sets is calculated, and credible circulation technology texts are obtained through screening; obtaining a data transaction link and combining the existing key link to determine a data element circulation link; calculating the similarity between the credible circulation technology text and the data element circulation link, classifying the credible circulation technology text to the corresponding link, and constructing a data element credible circulation technology system; finally, subject analysis is conducted on the classified text, feature words of the credible circulation technology function are determined, and then a data element credible circulation technology system framework is built; according to the method, the suitability of a data element credible circulation technology and links is enhanced, and a technical system framework is perfected.

Description

Technical Field

[0001] The present invention belongs to the technical field of data element circulation technology processing, and particularly relates to a processing method and system for data element trusted circulation technology. Background Art

[0002] Data elements refer to data that are included in the category of production factors, which are data resources that can participate in social market business activities and bring economic benefits to participants. Their circulation in the market can activate data value. During the process of data element circulation, it needs to be transmitted between different entities. Due to ownership and security requirements, it cannot be simply directly transmitted. Trust is the cornerstone of data element circulation. "Research on Data Sharing between EU Enterprises" shows that approximately 73% of enterprises believe that technical obstacles are the main obstacles in data circulation transactions. Data providers are reluctant to share data on platforms lacking technical trust, which seriously hinders the circulation of data elements in the market. Trusted circulation technology is a technology that can meet the trust requirements during the process of data element circulation. A sound trusted circulation technology system can more comprehensively and systematically guarantee the trusted circulation of data elements on the basis of summarizing the current data element trusted circulation technology.

[0003] The current research on data element trusted circulation technology mainly focuses on the technical applications of blockchain and privacy computing technology in different scenarios, but the research on technical solutions in specific links throughout the circulation process is slightly insufficient. In terms of the research on the data element circulation system, the research on the circulation mechanism involves relevant policies, governance systems, business models, etc. The research on technical implementation mostly targets transaction challenges, quality assessment, security supervision, and privacy computing. However, the research on the technical system architecture is insufficient in integrity, and the functional characteristics of each architecture are single, and systematic combination needs to be carried out under the guidance of the circulation mechanism.

[0004] The current processing methods for the trusted circulation technology system of data elements can be mainly divided into: ① Blockchain technology system: It provides a distributed and transparent management, which is a trusted technology for managing digital vouchers. It can meet the trusted requirements in data element management, solve the asset management problems faced in data element circulation, and achieve trusted data element asset management. Combining blockchain can build an end-to-end trust framework to reduce information asymmetry in the market by bridging the trust gap; ② Privacy computing technology system: The main representatives are multi-party secure computing, federated learning, and trusted execution environment. Through the privacy protection computing framework, the flow of data elements among multiple parties can be realized, and the cross-privacy computing platform technology can achieve mutual trust and interoperability of data elements between different platforms; ③ Technology system combining blockchain and privacy technology: Blockchain and privacy technology are the main means to promote secure and trusted circulation transactions of data. They can help build a trusted data circulation system and a common infrastructure platform for data element circulation. The technical architecture based on blockchain and federated learning can specifically address the data security and privacy leakage problems in data element circulation transactions.

[0005] However, the current trusted circulation technology of data elements has the problems that on the one hand, most of them are oriented to a single circulation link and lack technical solutions for the overall process, and on the other hand, the research scope of some technologies is relatively large and the requirements of the links in the overall process are not fully considered; in addition, single technologies also have defects in ensuring data trust; in terms of the technology system, the technical architectures are diverse and have different functional characteristics, but there is a lack of processing methods for the technology system that meets the specific functional requirements of different links in the data element circulation process. Summary of the Invention

[0006] To solve the above problems existing in the prior art, the present invention is realized through the following technical solutions: In the first aspect of the present invention, a processing method for the trusted circulation technology of data elements is provided, including the following steps: Step 1: Calculate the similarity between the circulable technology text dataset and the trusted technology text dataset, and screen out the technology texts with a similarity greater than the set threshold as the trusted circulation technology texts; Step 2: Obtain the data transaction link from the data transaction and circulation links of the data trading institution, and obtain the data element circulation link according to the data transaction link and the existing key links of data element circulation. The data element circulation link includes the circulation link concept and the circulation link keyword; Step 3: Calculate the similarity between the trusted circulation technology text and the data element circulation link, and classify the trusted circulation technology text into the data element circulation link with the highest similarity to obtain the data element trusted circulation technology system; Step 4: Obtain the framework of the trusted circulation technology system for data elements based on the characteristic words of the trusted circulation technology functions in the data element circulation link and the trusted circulation technology system for data elements.

[0007] Step 1 includes: preprocessing the circulable technology text dataset and the trusted technology text dataset respectively to obtain the preprocessed circulable technology text dataset and the preprocessed trusted technology text dataset, and generating circulable technology text word vectors and trusted technology text word vectors from the preprocessed circulable technology text dataset and the preprocessed trusted technology text dataset respectively; Use the cosine similarity method to calculate the similarity between the circulable technology text word vectors and the trusted technology text word vectors, and screen the technology texts corresponding to the trusted technology text word vectors with a similarity greater than the set threshold as the trusted circulation technology texts.

[0008] Screening the technology texts corresponding to the trusted technology text word vectors with a similarity greater than the set threshold as the trusted circulation technology texts also includes: traversing the initial similarity threshold, obtaining the screening accuracy of the trusted circulation technology texts based on the number of trusted circulation technology texts obtained under the initial similarity threshold and the number of trusted circulation technology texts manually screened, and selecting the similarity when the retention rate of the manually screened trusted circulation technology texts is 74% and the rejection rate of texts in other fields is 94% as the set threshold.

[0009] The initial similarity threshold is greater than or equal to 0.87 and less than or equal to 0.92; the set threshold is 0.88.

[0010] Step 3 includes: performing a preliminary similarity calculation on the trusted circulation technology texts and the data element circulation link, and matching the trusted circulation technology texts and the data element circulation link according to the preliminary similarity to obtain a preliminary matching result; Performing a final similarity calculation on the trusted circulation technology texts and the data element circulation link under the preliminary matching result, and classifying the trusted circulation technology texts into the data element circulation link with the highest final similarity to them to obtain the trusted circulation technology system for data elements.

[0011] Classify the trustworthy circulation technology texts into the data element circulation link with the highest final similarity according to the final similarity. It also includes: vectorizing the trustworthy circulation technology texts, the circulation link concepts, and the circulation link keywords respectively, calculating the similarity between the vectorized trustworthy circulation technology texts and the vectorized circulation link concepts and the similarity between the vectorized trustworthy circulation technology texts and the vectorized circulation link keywords respectively, and summing the similarity between the vectorized trustworthy circulation technology texts and the vectorized circulation link concepts and the similarity between the vectorized trustworthy circulation technology texts and the vectorized circulation link keywords according to a certain ratio to obtain the final similarity.

[0012] Step 4 includes: performing LDA topic analysis on the trustworthy circulation technology texts classified into the data element circulation link to obtain the topic analysis result, and obtaining the characteristic words of the trustworthy circulation technology function under the data element circulation link according to the topic analysis result.

[0013] Obtaining the characteristic words of the trustworthy circulation technology function under the data element circulation link according to the topic analysis result also includes: evaluating the consistency of the topic analysis results, selecting the topic analysis result corresponding to the maximum consistency score for visualization, reducing the number of topic analysis results if there is an overlapping part in the visualization result, and adjusting the adjustment parameters in the visualization, and selecting the characteristic words of the topic analysis result when the adjustment parameter approaches 0 as the characteristic words of the trustworthy circulation technology function under the data element circulation link.

[0014] In the second aspect of the present invention, a processing system for trustworthy circulation technology of data elements is provided, which is used to execute a processing method for trustworthy circulation technology of data elements provided in the first aspect of the present invention, including a text acquisition module, a data element circulation processing module, a trustworthy circulation system acquisition module, and a trustworthy circulation technology generation module; The text acquisition module is used to calculate the similarity between the circulable technology text dataset and the trustworthy technology text dataset, and screen the technology texts with similarity greater than the set threshold as the trustworthy circulation technology texts; The data element circulation processing module is used to obtain the data transaction link from the data transaction circulation link of the data transaction institution, and obtain the data element circulation link according to the data transaction link and the existing key data element circulation links. The data element circulation link includes circulation link concepts and circulation link keywords; The trustworthy circulation system acquisition module is used to calculate the similarity between the trustworthy circulation technology texts and the data element circulation link, and classify the trustworthy circulation technology texts into the data element circulation link with the highest similarity to obtain the trustworthy circulation technology system of data elements; The trustworthy circulation technology generation module is used to obtain the trustworthy circulation technology system framework of data elements according to the characteristic words of the trustworthy circulation technology function under the data element circulation link and the trustworthy circulation technology system of data elements.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. By calculating the similarity between the circulable technical text dataset and the trustworthy technical text dataset, the present invention screens out the trustworthy circulable technical texts and matches them with the data element circulation links, constructs a trustworthy circulation technology system throughout the whole process of data element circulation, integrates the technologies of each link, forms a complete technical system framework, overcomes the problems of the prior art that only focuses on the local part and lacks overall planning, and enables the data elements to obtain effective technical support throughout the circulation process.

[0016] 2. When the present invention matches the technical text with the link, it vectorizes the circulation link concept and keywords respectively, comprehensively calculates the similarity with the trustworthy circulable technical text, fully considers the specific characteristics and requirements of each link, improves the adaptability of the technology to the link, and ensures that the solutions in the technical text can better serve each link of data element circulation.

[0017] 3. By calculating the similarity, the present invention classifies the trustworthy circulable technical texts into the corresponding data element circulation links, constructs a data element trustworthy circulation technology system, and conducts LDA topic analysis on the trustworthy circulable technical texts classified into the data element circulation links, determines the characteristic words of the trustworthy circulation technology functions according to the topic analysis results, further improves the technical system framework, enables the technical system to be constructed according to the functional requirements of different links, and the various architectures cooperate with each other, the functions are more comprehensive and rich, making up for the deficiencies of the prior art system architecture.

[0018] The following will further elaborate on the present invention in detail with reference to the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 is a flowchart of a processing method for a data element trustworthy circulation technology provided by an embodiment of the present invention; Figure 2 is a data element circulation link diagram provided by an embodiment of the present invention; Figure 3 is a framework diagram of a data element trustworthy circulation technology system provided by an embodiment of the present invention; Figure 4 is a structural diagram of a processing system for a data element trustworthy circulation technology provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0020] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following will detail the solution according to the present invention with reference to the accompanying drawings and specific embodiments.

[0021] The foregoing and other technical contents, features and effects of the present invention will be clearly presented in the following detailed description of the specific embodiments in conjunction with the accompanying drawings. Through the description of the specific embodiments, a more in-depth and specific understanding of the technical means and effects adopted by the present invention to achieve the predetermined purpose can be obtained. However, the accompanying drawings are only for reference and illustration, and are not used to limit the technical solutions of the present invention.

[0022] It should be noted that, in this text, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant is intended to cover non-exclusive inclusion, so that an article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed. Without further limitation, an element defined by the statement "including a..." does not exclude the presence of another identical element in the article or device including the said element.

[0023] As Figure 1 shown, a processing method for a data element trusted circulation technology provided by an embodiment of the present invention includes the following steps: Step 1: Calculate the similarity between the circulable technology text data set and the trusted technology text data set, and screen the technology texts with similarity greater than a set threshold as trusted circulable technology texts.

[0024] Screen out the texts containing relevant technical requirements in the process of data element circulation from the existing policy texts as the circulable technology text data set; retrieve the trusted technology-related literature with the theme of "trusted technology" on a certain core journal website, and retrieve the trusted technology-related patents with the abstract of "trusted technology" on a certain patent website. The trusted technology text data set is composed of the trusted technology-related literature and the trusted technology-related patents.

[0025] Preprocess the circulable technology text data set and the trusted technology text data set respectively through the zh_core_web_md Chinese model in the open-source NLP natural language processing library spaCy to obtain the preprocessed circulable technology text data set and the preprocessed trusted technology text data set. Based on the Word2Vec algorithm, generate the circulable technology text word vectors and the trusted technology text word vectors for the preprocessed circulable technology text data set and the preprocessed trusted technology text data set respectively.

[0026] Preprocessing the dataset using the zh_core_web_md Chinese model of spaCy can save time and computing resources, and can accurately identify various language phenomena, providing high-quality data for subsequent tasks. By generating circulable technical text word vectors and trustworthy technical text word vectors through the Word2Vec algorithm, it can capture the semantic relationships between words and perceive the context, accurately understand the meanings of terms in technical texts in different contexts, improve the accuracy of semantic understanding, and at the same time transform technical texts into numerical and low-dimensional word vectors, significantly improving the processing efficiency of large-scale technical text datasets.

[0027] The cosine similarity method is used to calculate the similarity between the circulable technical text word vectors and the trustworthy technical text word vectors, and the technical texts corresponding to the trustworthy technical text word vectors with a similarity greater than the set threshold are selected as trustworthy circulable technical texts.

[0028] The screening accuracy of trustworthy circulable technical texts is obtained based on the number of trustworthy circulable technical texts obtained under the initial similarity threshold and the number of trustworthy circulable technical texts manually screened. The calculation method is: 。

[0029] Among them, Precision is the screening accuracy of trustworthy circulable technical texts, TP is the number of duplicates of the trustworthy circulable technical texts obtained under the initial similarity threshold and the trustworthy circulable technical texts manually screened, FP is the number of trustworthy circulable technical texts of texts in other fields obtained under the initial similarity threshold.

[0030] When the similarity threshold is less than 0.87, the number of trustworthy circulable technical texts obtained exceeds the number of those manually screened; when the similarity threshold is greater than 0.92, the number of trustworthy circulable technical texts obtained is 0. Therefore, the initial similarity threshold is greater than or equal to 0.87 and less than or equal to 0.92. Traverse the initial similarity threshold, and obtain the screening accuracy of trustworthy circulable technical texts according to the number of trustworthy circulable technical texts obtained under the initial similarity threshold and the number of trustworthy circulable technical texts manually screened. According to the screening accuracy of trustworthy circulable technical texts, select the similarity when the retention rate of the trustworthy circulable technical texts manually screened is high and the elimination rate of texts in other fields is high as the set threshold. In this embodiment, the highest retention rate of the trustworthy circulable technical texts manually screened is 74%, and the highest elimination rate of texts in other fields is 94%. At this time, the set threshold is 0.88.

[0031] Step 2: Obtain the data transaction link from the data transaction and circulation link of the data trading institution, and obtain the data element circulation link according to the data transaction link and the existing key links of data element circulation. The data element circulation link includes the circulation link concept and the circulation link keyword.

[0032] Select data trading institutions in the existing data trading institutions that have data trading links in the data trading and circulation link. Since the data trading link is an important part of the data trading and circulation link, the data trading link therein can be obtained according to the data trading and circulation link.

[0033] Such as Figure 2 shown, it is a data element circulation link provided by an embodiment of the present invention, and the concept of the circulation link includes: The keywords of the circulation link are data collection and data aggregation for accessing multi-source heterogeneous data.

[0034] The keywords of the circulation link are data cleaning, data transformation, data integration, data desensitization, data reduction, data annotation, data encryption, improving data quality, automatic quality verification, data processing, and data transformation for data processing.

[0035] The keywords of the circulation link are data storage, data backup, database management, data management, data recovery, encrypted storage, and storage isolation for data hosting.

[0036] The keywords of the circulation link are data modeling, data mining, data calculation, data products, and data analysis for data product development.

[0037] The keywords of the circulation link are content registration, ownership registration, declaration of ownership, registration authentication, data notarization, product publicity, asset evaluation, quality evaluation, compliance evaluation, rights confirmation evaluation, information deposit, product traceability, and product compliance review for data product registration and evaluation.

[0038] The keywords of the circulation link are data product listing, product pre-release, data product query, demand release, transaction matching, transaction signing, transaction evaluation, transaction verification, and protocol delivery for data product trading and use.

[0039] Data governance includes the strategies, standards, and processes of the data element circulation link to ensure the quality, security, compliance, and effectiveness of the data element circulation; transaction compliance supervision includes the systems and norms of the data element circulation link to guarantee the data element circulation from the aspects of management systems and norms.

[0040] Step 3: Calculate the similarity between the trusted circulation technology text and the data element circulation link, and classify the trusted circulation technology text into the data element circulation link with the highest similarity to obtain the data element trusted circulation technology system.

[0041] The Sentence-Bert algorithm is used to perform a preliminary similarity calculation between the trusted circulation technology text and the data element circulation link, and the trusted circulation technology text and the data element circulation link are matched according to the preliminary similarity to obtain a preliminary matching result.

[0042] Terms in the text of trusted circulation technology and the circulation links of data elements may have different meanings depending on the context. The Sentence-Bert algorithm can effectively identify these differences, improve the accuracy of similarity calculation, and at the same time be able to ignore the interference factors formed by the non-standard expressions in the description of the text of trusted circulation technology and the circulation links of data elements, ensuring the stability of similarity calculation.

[0043] Vectorize the text of trusted circulation technology and the circulation links of data elements respectively under the preliminary matching results. The vectorization of the circulation links of data elements includes the vectorization of circulation link concepts and the vectorization of circulation link keywords. Use the paraphrase-multilingual-MiniLM-L12-v2 model to calculate the similarity concept_similarities between the vectorized text of trusted circulation technology and the vectorized circulation link concepts and the similarity keywords_similarities between the vectorized text of trusted circulation technology and the vectorized circulation link keywords. Sum the similarity between the vectorized text of trusted circulation technology and the vectorized circulation link concepts and the similarity between the vectorized text of trusted circulation technology and the circulation link keywords according to a certain proportion to obtain the final similarity. Among them, the best final similarity is obtained when the proportion of concept_similarities is 30% and the proportion of keywords_similarities is 70%. Classify the text of trusted circulation technology into the circulation link of data elements with the highest final similarity to it according to the final similarity, and obtain the data element trusted circulation technology system.

[0044] paraphrase-multilingual-MiniLM-L12-v2 is a model that can map sentences and paragraphs to a 384-dimensional dense vector space. It supports multiple languages, is lightweight and efficient, has strong semantic representation capabilities and accurate context awareness. At the same time, it has good generalization ability and robustness, and can reliably process the vectorized text of trusted circulation technology and the vectorized circulation links of data elements, and obtain the similarity between them.

[0045] Step 4: Obtain the framework of the data element trusted circulation technology system according to the characteristic words of the trusted circulation technology function under the circulation link of data elements and the data element trusted circulation technology system.

[0046] Perform LDA topic analysis on the trustworthy circulation technology texts classified into the data element circulation link in step 3 to obtain the topic analysis results, and use the cv consistency score to evaluate the consistency of the topic analysis results. Select the topic analysis result corresponding to the maximum cv consistency score for pyLDAvis visualization. If there are overlapping parts in the pyLDAvis visualization results, reduce the number of topic analysis results, and adjust the adjustment parameter λ in pyLDAvis to make the adjustment parameter λ approach 0. Select the feature words of the topic analysis result when the adjustment parameter λ approaches 0 as the feature words of the trustworthy circulation technology function under the data element circulation link. The feature words of the topic analysis result are preferably the top 10 feature words.

[0047] The closer the adjustment parameter λ is to 1, the more relevant the words that frequently appear in the topic analysis result are to the topic; the closer the adjustment parameter λ is to 0, the more special and unique the words in the topic analysis result are to the topic. By adjusting the size of λ, the appearance result of the feature words can be changed. To better express the uniqueness of different topic analysis results under the data element circulation link, the λ value should be as close to 0 as possible. Preferably, the adjustment parameter λ is set to 0.6.

[0048] Using LDA topic analysis can automatically mine the potential topic structure of the trustworthy circulation technology texts, achieve dimensionality reduction and information compression, and reveal topic associations. At the same time, LDA topic analysis can adapt to the diversity of the trustworthy circulation technology texts; while topic consistency is an important indicator to evaluate the coherence and interpretability of the topic analysis results, and can measure the similarity degree among the top N words with the highest probabilities in each topic analysis result. The coherence of the topic analysis results can be quantified through the cv consistency score, providing an intuitive numerical value to measure the similarity degree among the top N words with the highest probabilities in each topic analysis result.

[0049] Based on the feature words of the trustworthy circulation technology function under the data element circulation link and the trustworthy circulation technology system obtained in step 3, obtain the data element trustworthy circulation technology system framework, as Figure 3 shown, which is a data element trustworthy circulation technology system framework provided by an embodiment of the present invention: The data governance and transaction compliance supervision on the left side are the systems and norms for the corresponding links in the middle data element circulation; the middle data element circulation link is organized from bottom to top according to the data element circulation process, including the data aggregation link composed of the data security and traceability system and data intelligent integration and detection; the data processing link composed of data processing under the implementation of quality monitoring and data conversion and traceability; the data hosting link composed of user service and device management, privacy protection and encrypted storage, blockchain-based traceability and auditing, and access control and identity authentication; the data product development link composed of data model construction, intelligent representation and parsing, and product development and data services; the data product registration and evaluation link composed of data asset evaluation, data parsing and authentication, and data rating and market access authorization; the product data transaction and use link composed of the blockchain transaction system, transaction platform service management, transaction credit score model, product information management, and transaction authentication; the data transmission on the right side includes transmission security and privacy protection and distributed information storage and proof.

[0050] As Figure 4 shown, a processing system for a data element trusted circulation technology provided by an embodiment of the present invention is used to execute the processing method of the data element trusted circulation technology of the present invention, and includes a text acquisition module, a data element circulation processing module, a trusted circulation system acquisition module, and a trusted circulation technology generation module.

[0051] The text acquisition module is used to calculate the similarity of the circulable technology text data set and the trusted technology text data set, and screen the technology text with a similarity greater than the set threshold as the trusted circulation technology text.

[0052] The data element circulation processing module is used to obtain the data transaction link from the data transaction circulation link of the data trading institution, and obtain the data element circulation link according to the data transaction link and the existing key data element circulation links. The data element circulation link includes a circulation link concept and a circulation link keyword.

[0053] The trusted circulation system acquisition module is used to calculate the similarity of the trusted circulation technology text and the data element circulation link, and classify the trusted circulation technology text into the data element circulation link with the highest similarity to obtain the data element trusted circulation technology system.

[0054] The trusted circulation technology generation module is used to obtain the data element trusted circulation technology system framework according to the characteristic words of the trusted circulation technology function under the data element circulation link and the data element trusted circulation technology system.

[0055] Through the preprocessing of the dataset of circulable and trustworthy technical texts, this invention generates word vectors using the Word2Vec algorithm, and filters out trustworthy circulable technical texts through cosine similarity calculation and threshold adjustment; obtains the data trading link from the data trading institution, and combines the existing key links to obtain the data element circulation link; then calculates the similarity between the two using the Sentence-Bert algorithm and the paraphrase-multilingual-MiniLM-L12-v2 model, classifies the trustworthy circulable technical texts, and forms a trustworthy circulable technology system; conducts LDA topic analysis on the classified texts, optimizes the topic analysis results with the help of cv consistency scores to determine the feature words, and obtains the framework of the trustworthy circulable technology system, overcoming the problems of only focusing on the local part and lacking overall planning in the prior art, improving the adaptability of the trustworthy circulation technology of data elements to the links, perfecting the technical system framework, making the functions of the trustworthy circulation technology system of data elements more comprehensive and rich, and enhancing the trust level of data circulation and trading.

[0056] The above content is a further detailed description of the present invention in combination with specific preferred implementation manners, and it cannot be determined that the specific implementation of the present invention is only limited to these descriptions. For those of ordinary skill in the technical field to which the present invention belongs, without departing from the concept of the present invention, several simple deductions or substitutions can be made, and all should be regarded as belonging to the protection scope of the present invention.

Claims

1. A method for processing data element trusted circulation technology, characterized in that: The following steps are involved: Step 1: Calculate the similarity between the circulated technical text dataset and the trusted technical text dataset, and select the technical texts with similarity greater than the set threshold as the trusted circulated technical texts; Step 2: Obtain data transaction links from the data transaction circulation links of data transaction institutions, and obtain data element circulation links based on data transaction links and existing key links of data element circulation. The data element circulation links include circulation link concepts and circulation link keywords; Step 3: Calculate the similarity between the trusted circulation technical text and the data element circulation link, and classify the trusted circulation technical text into the data element circulation link with the highest similarity to obtain the data element trusted circulation technical system; Step 4: Obtain the framework of the data element trusted circulation technology system based on the characteristic words of the trusted circulation technology functions in the data element circulation link and the data element trusted circulation technology system.

2. A method for processing data element trusted circulation technology according to claim 1, characterized in that: The step 1 comprises: Preprocessing the circulated technical text dataset and the trusted technical text dataset respectively to obtain the preprocessed circulated technical text dataset and the preprocessed trusted technical text dataset, and generating circulated technical text word vectors and trusted technical text word vectors from the preprocessed circulated technical text dataset and the preprocessed trusted technical text dataset respectively; The cosine similarity method is used to calculate the similarity between the word vectors of circulated technical texts and the word vectors of trusted technical texts, and the technical texts corresponding to the word vectors of trusted technical texts whose similarity is greater than the set threshold are selected as trusted circulated technical texts.

3. A method for processing data element trusted circulation technology according to claim 2, characterized in that: The step of selecting the technical texts corresponding to the credible technical text word vectors whose similarity is greater than a set threshold as credible circulation technical texts also includes: The initial similarity threshold is traversed, and the screening accuracy of trusted circulation technical texts is obtained according to the number of trusted circulation technical texts obtained under the initial similarity threshold and the number of manually screened trusted circulation technical texts. According to the screening accuracy of trusted circulation technical texts, the similarity when the retention rate of manually screened trusted circulation technical texts is 74% and the elimination rate of texts in other fields is 94% is selected as the set threshold.

4. A method for processing data element trusted circulation technology according to claim 3, characterized in that: The initial similarity threshold is greater than or equal to 0.87 and less than or equal to 0.92; the set threshold is 0.

88.

5. A method for processing data element trusted circulation technology according to claim 1, characterized in that: The step 3 comprises: Performing preliminary similarity calculation on the trusted circulation technical text and the data element circulation link, and matching the trusted circulation technical text and the data element circulation link according to the preliminary similarity to obtain preliminary matching results; The final similarity calculation is performed on the trusted circulation technical text and the data element circulation link under the preliminary matching results, and the trusted circulation technical text is classified into the data element circulation link with the highest final similarity according to the final similarity, so as to obtain the data element trusted circulation technology system.

6. A method for processing data element trusted circulation technology according to claim 5, characterized in that: The categorizing of the credible circulation technical text into the data element circulation link with the highest final similarity according to the final similarity also includes: The trusted circulation technology text, circulation link concepts and circulation link keywords are vectorized respectively, and the similarity between the vectorized trusted circulation technology text and the vectorized circulation link concepts and the similarity between the vectorized trusted circulation technology text and the vectorized circulation link keywords are calculated respectively. The similarity between the vectorized trusted circulation technology text and the vectorized circulation link concepts and the similarity between the vectorized trusted circulation technology text and the vectorized circulation link keywords are summed up according to a certain ratio to obtain the final similarity.

7. A method for processing data element trusted circulation technology according to claim 1, characterized in that: The step 4 comprises: The LDA topic analysis is performed on the trusted circulation technology texts classified into the data element circulation link to obtain the topic analysis results, and the characteristic words of the trusted circulation technology function under the data element circulation link are obtained based on the topic analysis results.

8. A method for processing data element trusted circulation technology according to claim 7, characterized in that: The characteristic words of the trusted circulation technology function in the data element circulation link obtained according to the subject analysis results also include: Evaluate the consistency of the topic analysis results, select the topic analysis results corresponding to the maximum consistency score for visualization, reduce the number of topic analysis results if there are overlaps in the visualization results, adjust the adjustment parameters in the visualization, and select the characteristic words of the topic analysis results when the adjustment parameters are close to 0 as the characteristic words of the trusted circulation technology function under the data element circulation link.

9. A processing system for data element trusted circulation technology, characterized in that: A method for processing a data element trusted circulation technology according to any one of claims 1 to 8, comprising a text acquisition module, a data element circulation processing module, a trusted circulation system acquisition module and a trusted circulation technology generation module; The text acquisition module is used to calculate the similarity between the circulated technical text data set and the trusted technical text data set, and select the technical texts with similarity greater than a set threshold as the trusted circulated technical texts; The data element circulation processing module is used to obtain data transaction links from the data transaction circulation links of the data transaction institution, and obtain the data element circulation links according to the data transaction links and the existing data element circulation key links, and the data element circulation links include circulation link concepts and circulation link keywords; The trusted circulation system acquisition module is used to calculate the similarity between the trusted circulation technical text and the data element circulation link, and classify the trusted circulation technical text into the data element circulation link with the highest similarity to obtain the data element trusted circulation technical system; The trusted circulation technology generation module is used to obtain the data element trusted circulation technology system framework based on the characteristic words of the trusted circulation technology function in the data element circulation link and the data element trusted circulation technology system.

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