578 results about "HTML" patented technology

HyperText Markup Language (HTML) content analysis (HCA) using machine learning is described. A feature vector schema may be generated based on domain names corresponding to HTML webpages and corresponding indications of a status of the HTML webpage. The schema may map each position in a feature vector of a given HTML webpage to a resource identifier. Information may be processed using the schema to generate respective feature vectors. The feature vectors may be used to train a model to generate risk indicators for HTML webpages. A potentially parked domain webpage or a potentially malicious domain webpage may be received. A feature vector for the webpage may be generated and inputted to the model. The model may generate a risk indicator for the webpage. The risk indicator may be output and may cause responsive actions. The model may be updated based on a determination indicating whether the webpage was a parked domain webpage or a malicious domain webpage.

Machine learning models for autonomously navigating the web and / or apps are provided that receive (i) visual input that includes one or more images representing the current, and optionally one or more prior, visual states of the website or app being navigated, and (ii) textual input that represents a user request to be implemented by the model, the current HTML or other code defining the website or app, and optionally additional text like prior model outputs that represent prior steps in the navigation of the website or app by the model. The visual input and textual input are transformed into respective sets of visual and textual tokens, and this multi-modal token set is applied to an encoder. The output of the encoder is applied to a decoder to generate textual output that represents an action to take, relative to the code defining the website or app, to pursue the user request.

The invention provides a universal Web form generation method and system based on iReport, and relates to the technical field of computer software, and the method comprises the following steps: obtaining document information, identifying metadata information of a document, defining attribute information of the metadata information, and obtaining a structured metadata definition set; according to the metadata definition set and a form design function of i Report, performing arrangement and attribute mapping processing on each object in a preset form basic interface to obtain a form design template with a mapping relationship between an interface control and a corresponding document attribute; according to the form design template, respectively calling a Web control rendering engine and a PDF generation function of iReport, and carrying out page control or file template rendering processing to obtain an HTML page and / or a PDF file for a user to input Web data; and according to the HTML page, carrying out user data entry and verification processing to obtain standardized form data. According to the method, the editable Web page can be quickly generated, and the corresponding standardized PDF file can also be generated.

The invention relates to the technical field of data processing, in particular to an HTML (Hypertext Markup Language)-based webpage word cutting annotation generation method, system and equipment, and aims to solve the problems of low storage efficiency, poor dynamic webpage adaptability, lack of fault tolerance and insufficient cross-browser compatibility of an existing word cutting annotation method. The method comprises the steps of capturing a selected area; obtaining DOM node path data and text offset, and generating positioning data; recursively storing the path data to generate a unique fingerprint identifier; storing the fingerprint data as historical fingerprint data in a JSON format; performing matching and positioning based on the historical fingerprint data; and mapping information in the historical fingerprint data to an HTML page to realize bidirectional rendering. According to the method, the label name, the class name and the hierarchical relationship of the DOM node are recorded through the node path to construct the fingerprint identifier, and cross-platform data exchange is realized through the JSON structure, so that webpage labeling which is efficient, accurate, high in fault tolerance and adaptive to a dynamic page is realized.

The invention provides a water conservancy knowledge structured extraction and verification method and device, and belongs to the technical field of artificial intelligence, and the method comprises the steps: carrying out the differential text processing of different formats of files, and generating an intermediate file; classifying the intermediate file into a regulation class or a non-regulation class based on a preset rule base; performing hierarchical title identification on the regulatory files to form entry knowledge blocks, and converting table contents into HTML (Hypertext Markup Language) knowledge blocks; performing semantic segmentation on the non-regulation file to generate knowledge blocks; performing knowledge block checking and filing, and marking an abnormal alarm block; converting the table knowledge blocks into natural language description by utilizing a large model; and positioning the context of the original text of the alarm knowledge block, and performing intelligent correction through a large model. According to the method, a traditional semantic analysis model and a large language model are creatively fused, a closed-loop process of preprocessing, extraction, verification and correction is formed, the problems of structured analysis and error correction of complex texts in the water conservancy field are solved, and the knowledge processing efficiency and accuracy are remarkably improved.

The invention discloses a method and a system for realizing hosted API automatic testing by an API gateway, belongs to the technical field of computer software, and aims at solving the technical problems of how to realize non-intrusive and automatic API testing, ensuring that monitoring and verification can be directly carried out on an API flow level, improving the testing efficiency and the coverage rate and improving the testing efficiency. According to the technical scheme, the method comprises the steps of test case generation, wherein an interface structure is automatically analyzed based on an API document, and a basic test case set is generated; flow capturing: monitoring the actual calling condition of the API in real time, and recording the specific content of each request and the corresponding response data; carrying out flow playback: carrying out playback test based on the captured historical flow, and verifying the compatibility of the API; assertion verification: assertion judgment is performed on indexes of the return value and the response time through an assertion mechanism, and abnormity is found; and test report generation: aggregating test result data, generating a test report containing success rate, response time and error log detailed information, and supporting HTML / PDF / JSON export.

The invention belongs to the technical field of table recognition, and discloses a table recognition method, system, medium and equipment based on a multi-modal large model, and the method comprises the following steps: extracting a cell coordinate matrix of a table, and generating a coordinate feature map; establishing a multi-modal large model, and combining the table image and the coordinate feature map to carry out image coding feature splicing to obtain an image feature vector; according to the multi-modal large model, combining the cell coordinate matrix with a set cue word to carry out text coding feature splicing to obtain a text feature vector; fusing the text feature vector and the image feature vector to generate a unified semantic vector; and generating a decoding sequence according to the unified semantic vector to obtain the HTML text content of the table. According to the table recognition method, by setting different token word segments and corresponding recognition technologies, the recognition accuracy of the cells is improved.

The invention relates to the technical field of artificial intelligence testing, discloses a method for automatically extracting UI elements of a Web page based on an AI large model, realizes automatic extraction of positioning information of the UI elements of the Web page of an embedded product, directly provides the positioning information to a Web testing framework for use, and solves the problems of low UI element extraction efficiency and insufficient adaptability in a traditional scheme. Playwright is used for obtaining page screenshots and HTML DOM information, after intelligent cleaning, the page screenshots and the HTML DOM information are transmitted to an AI model to analyze page structures, interactive elements such as buttons and input boxes are automatically recognized, and an optimal selector is generated; furthermore, page navigation and multi-page element collection are realized by combining an AI-driven automatic tool, and finally, an operation sequence is organized through a GUI (Graphical User Interface), so that automatic testing is quickly completed. According to the method, the problems of low efficiency and poor adaptability of a traditional method are solved, the accuracy and maintenance efficiency of Web testing are remarkably improved, and the method is suitable for dynamic and complex modern Web pages.

A computer program product and method include operations including accessing HTML code from one or more webpages, tokenizing the HTML code to form one or more HTML tokens, submitting each HTML token to a large language model, and obtaining a token content description for each HTML token from the large language model. The operations further include determining, for each of the one or more webpages, whether to rendered the HTML code on the web browser based on the token content descriptions of the HTML tokens formed for the HTML code from the one or more webpages.

The invention relates to a document writing method and system based on convenient writing and rich interactive rendering, and the method comprises the steps: defining a label grammar, specifically defining a label name, a type, an attribute and a behavior; according to the label grammar, realizing HTML template generation logic corresponding to the label; converting the document content into structured data through a document analysis algorithm; and traversing the structured data, calling HTML template generation logic, and executing view rendering and interaction logic. The bottom layer renders and processes the document through HTML / JS / CSS, and the problem that traditional document styles and interaction are limited can be solved; specific rendering and interaction effects can be completed by setting tag attributes, and the problem of complex document writing can be solved; the content of the table label is in a CSV data format, data redundancy can be further reduced, and data migration is facilitated; label embedding is supported in the CSV format data, and table cell level style control and combination control can be achieved; the invention belongs to the technical field of document writing and can be used for taking notes, writing academic papers and the like.

The invention belongs to the crossing field of artificial intelligence and laser cladding technologies, and particularly discloses a laser cladding knowledge base construction method based on a large model. According to the method, laser cladding knowledge dispersed in patent, literature and enterprise process parameter tables is collected by means of a multi-modal data processing technology, and unstructured data is converted into structured JSON format data by means of technologies such as HTML conversion, OCR recognition and YOLO defect detection. A constructed training set comprises mapping relations among application objects, effect labels and technical features, and a large model has a certain causal reasoning ability through QLoRA adapter injection and a three-stage fine tuning strategy. The system continuously updates the knowledge base through a dynamic optimization mechanism, and realizes the functions of intelligent recommendation of process parameters, defect image recognition, technical trend analysis and the like. Compared with a traditional method, a multi-modal knowledge base is constructed, and deep association and intelligent reasoning of domain knowledge are achieved.

The invention provides a document adaptive conversion method and device based on a multi-modal large model and a medium, and belongs to the technical field of data processing. The method comprises the following steps: inputting a multi-modal document into a pre-constructed multi-modal large model, wherein the multi-modal large model comprises a multi-modal joint framework fusing a ViT visual model and an LLM model; using a ViT visual model and an LLM model to respectively extract multi-scale visual features corresponding to non-text content and semantic features corresponding to text content, and using a cross-modal attention mechanism to bidirectionally align the multi-scale visual features and the semantic features to obtain a multi-modal document; carrying out self-adaptive blocking on the multi-modal document by using a self-adaptive blocking strategy, and modeling a relative position relationship between blocks; establishing a dynamic mapping rule from a document element to an HTML tag, and mapping the multi-modal document into a front-end interaction component in combination with a natural language instruction of a user; and dynamically rendering the front-end interaction component in an on-demand mounting and resource isolation mode. The problem of insufficient document restoration capability in the prior art can be solved.

The embodiment of the invention discloses a phishing website detection method and device, electronic equipment and a medium, and the method comprises the steps: extracting a structural information feature vector and a content information feature vector of a first HTML document of a target website, and splicing the structural information feature vector and the content information feature vector to obtain a first feature vector of the target website; extracting a structural information feature vector and a content information feature vector of a second HTML document of the suspicious website, and splicing the structural information feature vector and the content information feature vector to obtain a second feature vector of the suspicious website; and according to the first feature vector and the second feature vector, detecting the phishing website through a pre-trained prediction model. Compared with the detection of the phishing website only depending on the content displayed in the website page, the method provided by the invention has the advantages that the feature vectors of the structure information and the content information of the HMTL document are respectively extracted and calculated, so that the model can comprehensively capture the overall features of the website, and the accuracy of the detection of the phishing website is improved.

The invention discloses a PPT exporting method, device and equipment based on an HTML page and a medium, and is applied to the technical field of computers. The method comprises the steps that the content type of a front-end page constructed based on the HTML is recognized; calling a native interface of the slide generation tool to export the structured content of the front-end page to the PPT; using a snapshot technology to render the three-dimensional model of the front-end page after the view angle is selected to obtain a rendering result, converting the rendering result into an image and embedding the image into the PPT; and rendering decorative chart elements of the front-end page by using a delay rendering technology, intercepting an image of a corresponding area after rendering, and exporting the intercepted image to the PPT. According to the method, high-fidelity, high-automation, editable and visually consistent multi-source heterogeneous content PPT export is realized, and a high-quality migration path from Web visual content to a PowerPoint presentation document is effectively opened.

The invention discloses a health analysis report generation method based on a large model. The report generation method comprises the following steps: inputting a physical examination report; preprocessing the physical examination report to obtain a preprocessing result; performing visual language model analysis according to the preprocessing result; carrying out structured processing; compressing the cue word; generating an HTML (Hypertext Markup Language): generating webpage contents by utilizing And rendering and exporting. By introducing a large model with natural language understanding, data reasoning and code generation capabilities, an intelligent report generation mechanism is constructed, while the system development workload is reduced and the development period is shortened, specialized, precise and personalized output of health reports is realized, and the scientificity, readability and practical value of report contents are improved.

The invention provides a code stream real-time rendering method and device, electronic equipment and a readable storage medium, and relates to the technical field of artificial intelligence such as large language models, hypertext markup languages, streaming processing and webpage generation. The method comprises the steps of obtaining a code stream of a hypertext markup language continuously output by a large model and used for generating a target webpage; performing streaming processing on the continuously acquired code stream according to the following preset streaming analysis mechanism: in response to the detected complete script tag, extracting the script to be processed corresponding to the complete script tag to a preset script management system; in response to the detected frame tag, processing and displaying the content of the frame tag in a sub-page created for the frame tag; the real-time streaming result is presented as a real-time web page rendering result corresponding to the portion of code received from the code stream. By applying the method, the rendering efficiency of obtaining the target webpage based on the code can be remarkably improved, and the waiting time of a user is shortened.

The invention discloses a webpage similar structure identification method and device, and relates to the technical field of computer data processing, and the method comprises the following steps: storing webpage data in a byte array form; sequentially traversing each byte in the byte array, determining an initial position of each HTML tag of the webpage in the byte array, and writing a byte data value of the initial position of each HTML tag and a byte data value corresponding to an HTML tag name into a hash function; calling a hash function to generate hash abstracts, and taking a set of the hash abstracts as a webpage structure ID; judging the similarity between the two web pages by comparing the web page structure IDs of the two web pages; or identifying the Web application associated with the target webpage by comparing the matching degree between the target webpage structure ID and the corresponding webpage structure ID stored in the Web application fingerprint database. The structural features of the web pages are efficiently and robustly extracted, the unique ID is generated, and the pages with similar structures in massive web pages are quickly identified.

The invention discloses a configuration method for dynamically loading a Vue3 component to construct a front-end user interface under an ExtJS combined JSP architecture, which comprises the following steps of: under the ExtJS combined JSP architecture, newly adding a front-end bridging layer in a Java back-end source code and a compiled and output directory, and configuring a micro front-end engine file and a loading configuration file of a dynamic component loading engine in the front-end bridging layer; an application project directory of the Vue3 component is newly added; a micro-front-end engine file is introduced into a main interface entry JSP file, a loading configuration file of a packaged dynamic component loading engine is introduced, a DOM container of a Vue3 component is arranged in an HTML, and a management object syncExt of a bridging layer of the Vue3 component is customized; and carrying out packaging deployment on the J2EE and a front-end bridging layer by adopting dockerfile configuration, so as to realize cross-framework context communication. The method not only can support stable operation of stock applications, but also can integrate modern front-end framework components and realize framework decoupling.

Embodiments of the invention relate to the technical field of data processing, and disclose a PDF document generation method and apparatus, an electronic device and a storage medium, the method comprising: obtaining first page data, the first page data being determined by first HTML data input by a user on a target layout style; according to the first page data, a double linked list is constructed, and nodes in the double linked list are used for storing types, contents and styles of HTML elements; converting nodes in the double linked list into document object model (DOM) elements; and generating the PDF document according to the DOM element. By applying the technical scheme, the accuracy of exporting the HTML data into the PDF document can be improved.

The present invention provides a method and system for automatically and seamlessly processing clinical trial source data into electronic data capture (EDC) systems. In one embodiment, a file structure is defined for an electronic binder system (eBinder); source data is uploaded to the eBinder; the source data is encrypted, Patient Identifiable Information in the source data is masked; the source data is converted into machine readable plain text in the JavaScript Object Notation (JSON) format using Natural Language Processing (NPL) technologies; the JSON data is converted into tabulated machine readable data in the HyperText Markup Language (HTML) format using NPL technologies; the HTML data is converted into machine understandable data using NPL technologies; the machine understandable data is populated into EDC datasets using NPL technologies; the source data and converted data are displayed side-by-side for source data verification; and a platform is provided for regulatory data verification or auditing.

The invention relates to the technical field of internet asset management, and discloses a webpage asset enterprise affiliation identification method based on a BERT language model, which comprises the following steps: S1, acquiring an HTML source code of webpage assets through a crawler technology, and analyzing and extracting a title and body content of a webpage; s2, performing text processing on the title and the body content to obtain a to-be-recognized text; s3, inputting the to-be-recognized text into a trained BERT language model, and outputting an enterprise affiliation recognition result of a webpage through semantic understanding and feature interaction calculation; and S4, carrying out manual verification on the enterprise affiliation identification result, and updating the abnormal text as a new sample to the BERT language model so as to complete the iterative optimization of the model. According to the method and the device, the BERT language model is constructed by training and learning the webpage data, so that the automatic identification of the enterprise attribution of the webpage assets is realized, and the identification efficiency and accuracy are greatly improved.

The invention discloses a large language model XPath generation method based on hierarchical composite reward reinforcement learning, and the method specifically comprises the following steps: 1, obtaining HTML (Hypertext Markup Language) source codes and page element information of a target webpage, carrying out the data cleaning, and obtaining structured data containing a DOM (Document Object Model) hierarchical sequence structure and an element attribute value; performing data annotation on the structured data after data cleaning to obtain an annotated data set; 2, selecting a basic model, performing supervision and fine tuning on the basic model by using the annotation data set, and taking the basic model subjected to supervision and fine tuning as a strategy model; constructing a layered composite reward function to perform reinforcement learning fine tuning, so that the output hierarchy of the strategy model is aligned with the input DOM hierarchy, and obtaining a final model subjected to two-stage fine tuning; and 3, generating a standard XPath character string, and outputting structured data matched with the input DOM hierarchy to display layer-by-layer construction logic of the standard XPath character string. According to the method, the stable XPath can be generated, and the generation process is completely transparent and traceable.

The invention relates to the technical field of data processing, and discloses an HTML (Hypertext Markup Language) content intelligent rendering method, device, electronic equipment and system.The method comprises the following steps: acquiring a to-be-rendered HTML code, and constructing a DOM (Document Object Model) tree corresponding to the HTML code according to the HTML code; determining target style information corresponding to the DOM tree based on a preset style analysis algorithm; according to the DOM tree and the target style information corresponding to the DOM tree, constructing a Widget tree corresponding to the DOM tree; based on a preset layout optimization algorithm, performing layout optimization operation on the Widget tree to obtain a target Widget tree; and based on a preset loading strategy, rendering the target Widget tree so as to display page content corresponding to the HTML code in the application program. Therefore, the rendering performance and the rendering accuracy of the HTML content in the mobile application can be improved by implementing the method and the device, so that the user experience of browsing and interacting the HTML content in the mobile application is improved.

The invention provides a Web page first screen loading acceleration method and system, a medium and equipment, and relates to the technical field of Web front-end performance optimization and network transmission, the method comprises the following steps: after obtaining a request of a user for accessing a URL (Uniform Resource Locator), analyzing an HTML (Hypertext Markup Language) and constructing a DOM (Document Object Model) tree; marking first screen resources to obtain a first screen resource list; key resources are inserted into the head of the loading queue, and non-key resources are marked as defer; if the weak network is detected, degrading the picture quality; after the CSSOM is ready, text and layout are rendered immediately, and placeholders are replaced after pictures are asynchronously loaded; when the delay is high, switching to an edge CDN node or starting a QUIC protocol; and pre-fetching resources are predicted based on user behaviors, and the pre-fetching resources are stored in a Service Worker cache. According to the method, the first screen loading time can be shortened, the maximum content drawing time is shortened, the network transmission cost is saved, and the cache utilization efficiency is improved.

The invention relates to the technical field of process automation, in particular to an RPA robot-based commodity batch shelving system and method, and the system comprises a data standardization preprocessing module, an RPA operation engine module, and a process monitoring and optimization module. The method has the beneficial effects that commodity data (including names, specifications, classification, HTML description and the like) are input through a standardized Excel template, a preset picture folder is matched, and the RPA robot simulates human operation behaviors to automatically complete the commodity shelving process of a shopping mall shop. The system breaks through a traditional single entry mode, achieves one-time configuration and batch execution, improves the shelving efficiency by more than 10 times, reduces the error rate to below 0.5%, and remarkably optimizes the e-commerce operation efficiency.

The invention discloses a front-end list componentization code automatic generation method and system based on visual configuration, and belongs to the technical field of computer software front-end development, and the method comprises the following steps: a visual configuration interface is used for realizing the structure, state and interaction logic of a user-defined component, including component type selection; header configuration: supporting definition of column names, field names and display formats; column configuration is operated, and button adding and event logic binding are supported; the template library is used for storing preset or user-defined component templates; the code generation engine is used for dynamically generating codes meeting componentization specifications according to configuration; version management supports version backtracking and sharing of templates and codes. According to the method, high-quality modularized codes can be quickly generated in a standardized configuration mode; and according to the preset rules and templates, HTML, CSS and JS codes meeting specifications are automatically generated, so that the repeated labor of developers is reduced, and the development efficiency and the code quality are improved.

The invention discloses an information extraction method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining hypertext markup language (HTML) data of a target webpage, and extracting unstructured data in the HTML data; natural language processing is carried out on the unstructured data, a knowledge graph is constructed, and nodes in the knowledge graph represent entities in the unstructured data; and performing knowledge reasoning on the knowledge graph based on the graph convolutional network, determining an implicit relationship between the entities, and optimizing the knowledge graph based on the implicit relationship to obtain an information extraction result of the target webpage. The HTML data of the target webpage are obtained and processed through an automatic process, the information extraction efficiency can be greatly improved, the challenge of mass data can be effectively handled, knowledge graph construction and reasoning are carried out based on natural language processing and the graph convolutional network, the standardization of the processing process is achieved, the consistency of results is ensured, and the processing efficiency is improved. The influence of subjective judgment is reduced, and the accuracy of information extraction is improved.

The invention discloses a table extraction method and device, equipment, a medium and a product. The method comprises the steps of obtaining an image corresponding to a table in a to-be-processed document, a first prompt text and a second prompt text; inputting an image corresponding to a table in the to-be-processed document and the first prompt text into a first multi-modal large model to obtain a comma separation value csv text of the table in the to-be-processed document; and inputting the csv text of the table in the to-be-processed document, the image corresponding to the table in the to-be-processed document and the second prompt text into a second multi-modal large model to obtain a hypertext markup language (HTML) text of the table in the to-be-processed document, through the technical scheme of the invention, the efficiency and accuracy of table extraction can be improved.

The present invention discloses a grayscale publishing system, belonging to the field of grayscale distribution technology, comprising a webpage content acquisition unit, a user management unit, a webpage management unit, and a distribution unit. The webpage content acquisition unit is used to acquire HTML content; the user management unit is used to log in and verify a user ID, and generate corresponding user verification information for the verified user ID; the webpage management unit is used to switch webpage scenes and webpage states based on the user verification information; and the distribution unit is used to refresh the webpage according to the switched webpage scenes and webpage states, receive HTML content, and distribute the content. The present invention can fully verify user login information, ensuring system security and encrypted data transmission to prevent leakage. The system can switch webpage scenes and webpage states, covering a wider range and providing more options, including grayscale and whitelist modes.

The invention discloses a medicine production data table processing method based on document analysis and HTML rendering, and relates to the technical field of document data processing. The medicine production data table processing method based on document analysis and HTML rendering comprises the steps that S1, table recognition data, position mapping data and expressive data are collected and preprocessed, and a standardized table state data set is constructed; s2, analyzing semantic association closeness between the nested table and the affiliated paragraph, and adjusting an affiliation marking strategy of the table; s3, evaluating the structuring degree of the cells, and reconstructing the logical hierarchical relationship of the table structure; s4, evaluating the information importance of the cells, and adjusting the layout priority of the cells; and S5, generating a structured record and connecting the structured record to a business process of a manufacturing execution platform. The problem that a document structure and a business field are lack of binding, and construction of a unified data main line and a business driving process is seriously hindered is solved.