383 results about "Document transformation" patented technology

The invention provides a semi-structured file processing method based on an LLMs (Language Language Model), which is used for efficiently analyzing a semi-structured file and converting the semi-structured file, and belongs to the technical field of intelligent document processing and multi-modal learning. The method is characterized by comprising the following steps: multi-modal fusion analysis: adopting a hierarchical cross-modal attention mechanism HCMA, and combining a multi-head attention mechanism with a graph neural network GNN to realize multi-level feature fusion of a text and an image; adaptive structured conversion: adopting a dynamic structure analysis network DPN, and combining reinforcement learning and a generation model to realize adaptive analysis of a document structure; and model generation and multi-modal reasoning: adopting a multi-modal generation reasoning network MGRN, and combining a diffusion model and neural symbol reasoning to realize joint generation and reasoning of the text and the image. According to the method, a remarkable technical breakthrough is brought to the aspects of document analysis, information extraction and intelligent reasoning, and powerful support is provided for data-driven innovation of various industries.

In an embodiment, a method for converting a set of legal documents of varied type related to a legal task into structured data suitable for the legal task is disclosed. The method uses artificial intelligence and is performed by at least one processor including hardware. The method includes receiving digitized versions of a plurality of legal documents from a user. The method further includes extracting electronic data from the digitized legal documents using optical character recognition and analyzing the extracted electronic data from each document using a sequence of microprompts to a trained large language model. The analyzing includes using the LLM to identify a type of the document and data keys within the electronic data, and to generate a name for the document. The method further includes storing and sending to the user the analyzed electronic data processed with the LLM as structured data suitable for the legal task.

The invention provides a file conversion method and device, equipment and a program product, and the method comprises the steps: obtaining a to-be-converted file which is an image file or a portable document format file, i.e., a PDF file; identifying elements in the to-be-converted file, determining attributes of the identified elements based on an identification result, and performing logic layering on the identified elements; the elements comprise texts; generating a structured document based on the logical layering result and the attributes of the identification elements; and converting the structured document or the edited structured document into an editable file in a portable document format, so that the PDF can be edited. According to the method and the device, the automatic conversion from the image or the PDF to the editable PDF is realized, and in the conversion process, through the structured document generated in the middle, while the logic level of the document is improved, a user is supported to carry out instant editing, and the editing efficiency and convenience are improved.

The invention discloses a multi-table power technology standard PDF analysis method and system. The method comprises the steps that a power technology standard PDF file is converted into a table image; performing table and corner point positioning detection on the table image to obtain a table frame; performing table structure analysis on the table image to obtain a cell rectangular frame; identifying a text rectangular frame and text content for the table image; matching the cell rectangular frame with the text rectangular frame to determine the text content of the cell; header cells of the cell rectangular frame are classified into header cells and common cells; performing table structure reconstruction in combination with the header cells and the common cells obtained by recognition and the text content; and generating a coherent and smooth text corpus by utilizing a large language model based on the reconstructed table content. The method aims at achieving effective extraction and utilization of information in tables for the multi-table power technology standard PDF document so as to improve the efficiency and accuracy of transformer defect corpus construction.

The invention discloses an intelligent auditing method, apparatus and device, and a storage medium. The method comprises the steps of collecting a financial auditing document file; converting the financial audit document file into a structured text by using an OCR model; classifying the structured text through a classification model to obtain a classification result; based on a classification result, key fields are extracted from the structured text through a large language model and a multi-modal model; obtaining an auditing rule and constructing a knowledge graph system based on the auditing rule; and inputting the key field into a knowledge graph system for auditing and decision making to obtain an auditing result. According to the method, the document text is accurately identified through the OCR model, the documents are intelligently classified through the classification model, the document content is deeply analyzed through the large language model and the multi-modal model, and meanwhile, the knowledge graph system is combined for automatic auditing, so that automatic auditing of the documents is realized. The auditing efficiency and accuracy are greatly improved, and the labor cost is reduced. And objectivity and consistency of examination and approval decisions are ensured.

The invention belongs to the technical field of electric digital data processing, and particularly relates to a method for analyzing a table in a pdf document under an RAG scene, which comprises the following steps of: analyzing the pdf document, extracting the table in the pdf document page by page, storing the table as an Excel file and positioning information, converting the Excel file into a Markdown format table, and storing the Markdown format table into a server; the content of a Markdown format table is summarized through a large language model, a descriptive text is generated, context of the table is extracted through generated descriptive text positioning information and stored as a relevance text, and the extracted context information is combined with the descriptive text to generate a summarized text. According to the method, the descriptive text, the relevance text and the summary text are subjected to vectorization processing to generate a vectorized file, the vectorized file is stored in a vector database, the Markdown format table and the generated vectorized file are subjected to associative storage, complex PDF analysis can be processed only through the combination of the large language model and the Markdown format table, the deployment cost is low, and meanwhile, the method is easy to implement. The information generated by retrieval is more accurate, and the displayed content is more intuitive.

System and methods are provided for automated SKU management. Embodiments include a user interface for receiving diverse catalog files, a Catalog Transformation module, a Real-Time Data Mesh (RTDM) module, a Master Data Governance (MDG) module, a Global Data Repository (GDR), and a Search Platform. The Catalog Transformation module, through iterative learning, transforms catalog files to a standard format and predicts categorization and attribute mapping. The RTDM module is configured to perform real-time data exchange. The MDG module validates the transformed catalogs. The GDR stores validated catalogs. Embodiments can include a Dynamic SKU Creation module and a Global Pricing Engine for real-time pricing. Embodiments improve data accuracy and SKU management, facilitating integrated order processing and fulfillment.

The invention discloses an interface dynamic implementation method, a medium and equipment. The method comprises the following steps: converting a source code interface file into a structured description file; constructing a mapping relation library of the interface components and the implementation codes; storing the structured description file as an independent interface structure data instance, storing external business data as an independent business data instance, and establishing a separated storage system of the interface structure data and the business data; and analyzing the structured description file, judging whether the attribute value of the interface component is a business data type, and if yes, replacing the business data instance with the business data to generate a final interface. According to the method, the component instance is matched based on the mapping object, the interface is dynamically generated, an exclusive analyzer does not need to be developed for a single component, and the dynamic efficiency and maintainability of the interface can be remarkably improved.

System and methods are provided for automated SKU management. Embodiments include a user interface for receiving diverse catalog files, a Catalog Transformation module, a Real-Time Data Mesh (RTDM) module, a Master Data Governance (MDG) module, a Global Data Repository (GDR), and a Search Platform. The Catalog Transformation module, through iterative learning, transforms catalog files to a standard format and predicts categorization and attribute mapping. The RTDM module is configured to perform real-time data exchange. The MDG module validates the transformed catalogs. The GDR stores validated catalogs. Embodiments can include a Dynamic SKU Creation module and a Global Pricing Engine for real-time pricing. Embodiments improve data accuracy and SKU management, facilitating integrated order processing and fulfillment.

The invention discloses a lightweight three-dimensional data format generation method suitable for ship model labeling, which comprises the following steps of: exporting a three-dimensional model file from ship design software, extracting a model attribute information file of the three-dimensional model file, analyzing the three-dimensional model file and the model attribute information file, and calculating to obtain attribute value information of a geometric body model in a model; the attribute value information of the geometry model is integrated and then converted into a lightweight data exchange format, a lightweight data exchange format file is converted into a binary format, and a lightweight three-dimensional data format file is obtained through transcoding and compression; and the lightweight three-dimensional data format file is stored in a database after being subjected to name matching based on the model attribute information. The volume of the lightweight three-dimensional data format file is small, only key data of the reduced model are reserved according to the characteristics of the ship model, and binary coding conversion and compression are performed on the file, so that the volume of the lightweight three-dimensional data format file is much smaller than that of a model file in a general format, and storage and network transmission are greatly facilitated.

The invention relates to a method and device for converting a Revit modeling file into a YJK model file, and relates to the technical field of modeling file conversion, the method comprises the following steps: performing structural data analysis according to an obtained Revit to-be-converted model file to obtain at least one target structural component and parameter information corresponding to the target structural component, performing conversion information extraction according to the parameter information to obtain key information, performing data analysis conversion and special analysis conversion on the key information through an instance function relationship corresponding to the target structural component to obtain target conversion format data, and generating a YJK target model file according to the target conversion format data, according to the method and the device, the key information of the structural component is analyzed, the key information is converted into the model file in the YJK format by utilizing the function relationship, and the key information with special definition is subjected to special conversion, so that the special information of the structural component is reserved, the complete Revit model file is converted into the YJK file, and the conversion efficiency between the model files is improved.

The invention discloses an application migration method and device, equipment, a readable storage medium and a program product, and relates to the technical field of artificial intelligence, and the application migration method comprises the steps that self-defined resources corresponding to reasoning applications are managed through a self-defined controller, so that automatic execution of a driving migration task is achieved. Specifically, on the basis of file conversion resources, an original model file is transformed; transforming an application mirror image based on the mirror image conversion resource; and migrating the reasoning application to a target resource pool corresponding to the target environment based on the application program migration resource. Namely, the migration process of the whole reasoning application is driven by a user-defined controller, and model transformation, mirror image adaptation, data migration and application deployment are automatically completed, so that efficient migration of the reasoning application among different environments is ensured. Therefore, the technical problem of cross-heterogeneous resource pool migration of the inference application can be solved, and the technical effects of getting rid of the dependence of cross-heterogeneous resource pool migration on manpower and guaranteeing the continuity and stability of services are achieved.

Disclosed is a video summarisation method that includes converting an input video file to a video transcript using speech recognition, segmenting the video transcript into a plurality of paragraphs using a transformer based model, performing relevance ranking of the plurality of paragraphs by assigning a paragraph importance score to each paragraph, based on relevance of each paragraph to an overall content of the video transcript, creating a plurality of candidate summaries from the plurality of paragraphs, each candidate summary comprising two or more paragraphs, performing coherence reranking of the plurality of candidate summaries based on a combination of coherence and relevance of each candidate summary, and selecting a summary based on the coherence reranking.

The invention discloses a data intercommunication method and device based on a prototype file and a design file, and the method comprises the steps that a design file layer is converted into a combination of an instance and a component set, the instance is a copy of the component set, and the instance retains the basic attribute and state information of the component set; a team sharing library is established, editing and deleting operation is carried out on the combination of the instance converted from the design file in the prototype file and the component set, newly-added operation is forbidden, and the prototype file and the design file share element resources and design assets; in the mutual copying and pasting operation, layer data of the prototype file and the design file are kept consistent, and editing operation is supported; the layers are pasted into the synchronization blocks in a cross-file mode, the layers are modified in the source file, the associated synchronization blocks automatically prompt updating, and design consistency is ensured. According to the method, the prototype file and the design file are mutually copied and pasted to exchange data, so that unified management and reuse of resources are realized.

The invention relates to a Python-based Web system automatic test method, which comprises the following steps of interface test data capture, page element acquisition, test framework establishment and establishment of a visual test platform by combining a UI (User Interface) and an interface case, in the interface test data capture, a charls tool is used for data capture, agent setting and SSL (Secure Socket Layer) certificate installation; after packet capturing is completed, file conversion in a yaml format is carried out; in the step of page element acquisition, related information of elements is acquired by using a method provided by Selenium, and a page is analyzed, processed and packaged. According to the method, the Web automatic test execution efficiency can be improved, the problem that the use threshold is too high is avoided, and the project risk and the labor cost are reduced.

The invention discloses a three-dimensional geologic model creation method based on Python and BIM, and the method comprises the steps: converting a PDF file of a borehole histogram into an Excel file or a CSV file through a Python library, and rapidly and efficiently extracting a large amount of corresponding data information in the borehole histogram; according to the method, Civil3d and Revit software are combined through Dynamo visual programming, and a three-dimensional geologic model capable of being edited is manufactured; after the three-dimensional geologic model is created, the three-dimensional geologic model is an editable model and is a family file in Revit, and a designer can create basic construction and design in the three-dimensional geologic model.

System, method, and apparatus for transforming computer files are provided. The method, implemented by one or more processors, comprises: inputting a source file and a source file specification, the source file including one or more source data items, the source file specification defining formats of the one or more source data items; generating, using a generative AI model based on the source data and the source file specification, a source file model including one or more source nodes, each of one or more source nodes associated with a respective data item of the one or more source data items; generating, using the generative AI model, a transform map mapping the one or more source nodes to one more target nodes of a target file model; invoking, a semantic model-based transformation service to generate an output file; and invoking a comparison module to compare the output file to an output sample.

Various embodiments of the present disclosure provide a method for group message delivery. The method which may be performed by a user equipment comprises: obtaining meta data information of a group message from an application server. In accordance with an exemplary embodiment, the method further comprises: receiving a file from a multicast / broadcast service entity. The file may be transformed from the group message. In accordance with an exemplary embodiment, the method further comprises: transforming the file into the group message, according to the meta data information.

The invention relates to the technical field of data processing, and discloses a test case file conversion method and device, computer equipment and a storage medium. The test case file conversion method comprises the steps of obtaining a to-be-converted file, and analyzing the to-be-converted file according to a file type of the to-be-converted file to obtain file analysis data; performing conversion processing on the file analysis data according to a preset intermediate conversion rule to obtain an intermediate conversion file; obtaining format selection information, and determining a target file format and a target file template corresponding to the target file format according to the format selection information; and according to the intermediate conversion file and the target file template, generating a target conversion file corresponding to the target file format. According to the embodiment, a unified intermediate file processing mechanism is established, meanwhile, automatic processing of file conversion is achieved, the file conversion efficiency and accuracy are improved, and different scene requirements can be met.

A system can maintain first data as files and second data as objects. The system can receive a request from a remote computer to convert a file into an object. The system can receive, from a file storage protocol mount point associated with the remote computer, first metadata for the file. The system can receive, from an object storage protocol client associated with the remote computer, second metadata for an object storage bucket of the second data, wherein data of the file is to be stored as the object in the object storage bucket. The system can copy the data of the file into the object in the object storage bucket, based on the first metadata for the file, based on the second metadata for the object storage bucket, and independently of transferring the data of the file to the object storage bucket via the remote computer.

The invention relates to the technical field of data processing, in particular to a three-dimensional model file automatic conversion method, system and equipment based on a cloud platform, and the method specifically comprises the steps: verifying the identity of a user, and receiving three-dimensional model file conversion data after the verification is passed; wherein the three-dimensional model file conversion data comprises a three-dimensional model file to be converted and conversion parameters; analyzing the to-be-converted three-dimensional model file through a preset cloud platform, and performing conversion based on an analysis result and the conversion parameter to obtain a conversion result; and in response to a downloading request of a user, sending the conversion result to the user. Therefore, the file conversion speed and efficiency can be greatly improved by utilizing the strong computing power of the cloud platform, and a user does not need to depend on local computing resources.

The invention relates to a primitive feature-based high-speed rail roadbed cross section design information datamation method, which comprises the following steps of: converting a DWG file into a DXF format file, extracting basic primitive information, obtaining straight line and arc information and text information, and carrying out data processing on the straight line and arc information and the text information; and identifying and matching extracted object information possibly contained in the railway subgrade cross section drawing according to railway design specifications and the graphic features of the extracted objects. And finally, storing the obtained extracted object information in a database according to name-type-attribute-coordinate by taking the railway line position as a reference. According to the method, a high-speed rail roadbed cross section design digital drawing can be analyzed, required information can be extracted, the drawing information can be checked by using the digitized information, the engineering quantity in the drawing can be calculated, and meanwhile, basic data information can be provided for further design.

The subject technology receives, by an execution node, blob metadata from a key-value store, the blob metadata including information related to a set of blob files. The subject technology determines, by the execution node using the blob metadata, whether a copy of each of the set of blob files is stored in a local cache of the execution node. The subject technology transforms at least one blob file, retrieved from a blob store, to a second file in a column file format, the at least one blob file being in a first format that is different than the column file format, the transforming comprising at least converting a particular snapshot file from the at least one blob file to a particular set of rowsets and writing the set of rowsets into the second file in the column file format. The subject technology stores the second file in the local cache.

The invention provides a multi-language compatible algorithm scheduling platform and method, and the platform comprises a data collection module which is used for receiving basic information and algorithm files of different language algorithms based on an API interface, and converting the algorithm files into mirror image files according to the basic information based on a preset method; the algorithm deployment module is used for carrying out environment configuration on the algorithm container based on the basic information, carrying out isolated deployment on the mirror image file in the algorithm container based on an environment configuration result, and carrying out multi-dimensional management on different language algorithms subjected to isolated deployment; and the algorithm scheduling module is used for receiving a service demand based on the multi-dimensional management result, locking a target language algorithm based on the service demand, and performing scheduling operation on the target language algorithm based on an API interface. According to the method, different language algorithms can stably and reliably run in a deployment environment, the reliability of cross-language deployment is improved, and the reliability, stability and accuracy of multi-language algorithm scheduling are improved.

The invention discloses a report generation agent method, system and device driven by a large language model and a medium, and the method comprises the steps: constructing an agent execution framework independent of a native interface, outputting a decision through a cue word constraint model in a JSON structure, and scheduling a local tool function; analyzing the reference data and constructing a local vector knowledge base supporting semantic retrieval; the intelligent agent autonomously plans and generates a report directory structure based on a local vector knowledge base, stores the report directory structure as a structured intermediate file as a persistent intermediate representation, generates chapter content in parallel by utilizing a concurrent flow control and exponential backoff retry mechanism and combining a mixed retrieval strategy, and serializes and updates the chapter content to the intermediate file in real time; and finally, converting the intermediate file into a target format report according to a mapping rule. The system, the equipment and the medium are used for implementing the method. According to the method, the efficiency and the accuracy of complex report generation are remarkably improved through agent whole-process autonomous driving and combination of persistent intermediate representation, retrieval enhancement and concurrency control technologies.

The invention provides a cross-file semantic association analysis system based on a hierarchical rule engine. The cross-file semantic association analysis system comprises a plurality of modules, wherein a code compilation analysis module is used for converting an input code file into an AST object and executing cross-file dependency and reference analysis; the semantic fact construction module generates an initial fact set according to the data output by the code compiling and analyzing module; the rule interpreter receives the rule set of the hierarchical rule base and constructs a corresponding hierarchical rule network; the rule matcher injects the initial fact set into the hierarchical rule network in a streaming mode to execute rule matching; the condition verification module verifies a rule matching condition according to the input fact data and returns a result; when rule matching succeeds, the rule executor executes corresponding processing logic and updates the fact base; and the result analyzing and processing module analyzes and integrates the final reasoning fact data and writes a result into a conclusion library. The method can be used for constructing a universal cross-file code context analysis system, and the code static analysis performance is improved.

The invention discloses a complex text analysis and processing system and method based on a large language model, and relates to the technical field of text analysis and processing, and the system comprises a preprocessing module, a multi-modal analysis module, a large language model arrangement module, an entity extraction module and a database storage module. Wherein the preprocessing module receives a complex text, performs format detection, determines whether the complex text is in a coding format, and converts the complex text in a non-coding format into a picture file; the multi-modal analysis module uses a multi-modal large model to identify and extract text information in the picture file, and converts the picture file into text data in a coding format; the large language model sorting module uses a large language model to perform semantic analysis and error correction to obtain an output text, and sorts the format and layout of the output text; the entity extraction module extracts entity information from the output text; and the database storage module stores the entity information into a database to realize structured storage.

The invention provides a file conversion method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining initial table data and key table header item information, determining a column number and a column name of each table header in the initial table data, determining a to-be-processed hash table based on the column number and the column name of each table header in the initial table data, and converting the to-be-processed hash table into a to-be-processed hash table; traversing the to-be-processed hash table according to the predefined header enumeration object, determining an index value according to an index state of each enumeration item of the predefined header enumeration object in the to-be-processed hash table, labeling each enumeration item according to the index value to obtain a to-be-processed header enumeration object, and processing the to-be-processed header enumeration object according to the to-be-processed header enumeration object. If each key header item in the to-be-processed header enumeration object exists, performing format conversion on the initial table data according to the to-be-processed header enumeration object to obtain a target format file; according to the method and the device, the key information is dynamically identified by creating the hash table, processing is performed based on the actually existing header information, dependence on a preset fixed format is avoided, and more efficient and more accurate file conversion is realized.

The embodiment of the invention provides a code conversion method and device, a storage medium and a program product. The method comprises the following steps: segmenting a to-be-converted code file into a plurality of code snippets, retrieving a conversion rule matched with each code snippet from a preset conversion rule library, and retrieving a knowledge fragment matched with each code snippet from a user private knowledge base; based on the multiple code snippets, the conversion rules matched with the code snippets and the knowledge snippets matched with the code snippets, target cue words are generated, the code conversion model is guided through the target cue words, and the code snippets to be converted are recognized from the multiple code snippets; the to-be-converted code snippets are rewritten on the basis of the conversion rules matched with the to-be-converted code snippets and the knowledge snippets matched with the to-be-converted code snippets, so that the to-be-converted code file can be converted into the target code file under the target version more accurately by the code conversion model; and the accuracy of a code conversion result between different versions is improved.

The embodiment of the invention provides a CAD-based model file conversion method and device, electronic equipment and a storage medium, and belongs to the technical field of data conversion. The method comprises the steps that a first model file input by a user is received, and first CAD software corresponding to the first model file is determined; determining a deformation parameter corresponding to the first model file, and generating a corresponding parameter mapping table based on the deformation parameter; and generating a deformation request based on the first model file, the first CAD software and the parameter mapping table, and outputting a second model file corresponding to second CAD software based on the deformation request. According to the embodiment of the invention, model data conversion and sharing can be carried out among different CAD software, the accuracy and efficiency of model file conversion are improved, and then the efficiency of part type selection and reuse is improved.