167 results about "Cataloging" patented technology

The invention discloses an intelligent archive description method and device and a storage medium, which are applied to edge nodes, and the method comprises the steps: carrying out the hierarchical feature extraction and fusion of pre-collected archive information through a pre-deployed lightweight dual model, and generating a description item set with a confidence label; uploading the low-confidence bibliographic items in the bibliographic item set to a cloud server; acquiring description correction data transmitted by the cloud server, wherein the description correction data is generated by performing multi-modal comparison analysis on the low-confidence description item based on the cloud server; and integrating the bibliographic items which are not marked as the low-confidence bibliographic items with the bibliographic correction data, and generating a standard bibliographic file according to a standard bibliographic rule. And high-quality generation of the standard description file in a complex scene is realized.

The invention discloses a user-defined cataloguing template generation method and system, and the method comprises the steps: obtaining a program feature description, obtaining a business demand description, and carrying out the program feature description and semantic coding of the program feature description through employing a natural language processing and analysis technology based on deep learning, thereby obtaining a user-defined cataloguing template. Therefore, the definition coding template is intelligently generated according to the dynamic memory interaction representation between the program characteristic description semantic features and the business requirement description semantic features. Through the mode, the most suitable cataloguing template can be automatically generated according to the specific demand and demand feedback of each user, and personalized services are provided. And user feedback can be considered in real time, and the cataloguing template is automatically updated according to latest data and changed contents, so that the cataloguing template is ensured to always fit an actual service scene.

The invention discloses a data resource scheduling management system and method based on a directory chain, and relates to the technical field of data resource management and scheduling, and the system comprises directory chain management, authority management, approval and data sharing scheduling modules; the directory chain management module unifies catalog resources and builds and updates a directory chain; the permission management module monitors permission conflicts in real time, judges the priority according to a multi-dimensional rule and adjusts conflicting permissions; the examination and approval module refers to permission, historical records and resource availability examination and approval application; the data sharing and scheduling module searches data according to a directory chain and judges and schedules the data in combination with permission; according to the method, the problems of dispersed data resource management, authority conflict, low data sharing scheduling efficiency and the like are effectively solved, the resource management efficiency is improved, the authority management security is enhanced, and the data sharing scheduling process is optimized.

The invention provides an intelligent sound image file arrangement method based on an event knowledge graph. The method comprises the following steps: acquiring sound image file data; for structured data in the sound image archive data, directly defining main attributes, other attributes and relationships of archive entities, and completing knowledge extraction; for semi-structured data in the sound image file data, knowledge extraction is completed through rule matching; for unstructured data in the sound image file data, converting audio and video data into unstructured text data, and intelligently extracting entities, relationships and events by utilizing an NLP algorithm and combining with a constructed file event Schema to complete knowledge extraction; and performing knowledge fusion on the knowledge extracted from the structured data, the semi-structured data and the unstructured data, and obtaining a triple based on the knowledge fusion to construct a visual knowledge graph. By constructing the event knowledge graph, archive personnel can be helped to catalog and index the archives more quickly and accurately.

A system captures and utilizes expert knowledge in artificial intelligence. The system includes a knowledge capture module for extracting expert knowledge from subject matter experts in a conversational format and a knowledge management module for cataloging and summarizing the extracted knowledge. The system also includes a digital subject matter expert (dSME) module for ingesting the cataloged knowledge and using it to guide users in building AI models. A chatbot interacts with a user and selects the appropriate dSME module that is relevant to the user request. The system attempts to answer the user request based on the dSME module. If the dSME module lacks knowledge to solve the problem, the system uses a set of tools, for example, internet based search engine to solve the problem.

The invention provides a multi-modal ecological environment monitoring element plug-in integration system and method based on unified objectification modeling. Firstly, an object model and an inheritance system of monitoring equipment, data and an algorithm are constructed; on the basis, a unified logic storage and metadata cataloguing mechanism oriented to heterogeneous databases such as relational databases, non-relational databases and file object databases is designed and realized; the plug-and-play and full-life-cycle management of equipment, data and algorithm models is further realized through a dynamic registration module; common APIs (Application Program Interface) such as object-level addition, deletion, modification and query, space-time association query, concurrent task scheduling and aggregation and the like are externally provided by relying on a unified service bus. And the hybrid storage engine cooperatively manages structured and unstructured data and maintains a topological relation between objects. According to the scheme, object dynamic integration and expansion are completed on the premise that operation is not interrupted, the multi-source heterogeneous data management and cross-modal analysis efficiency is remarkably improved, and the method is suitable for various ecological environment monitoring scenes such as natural reserve, drainage basin pollution supervision and disaster emergency response.

The invention discloses an ancient book classification method and system based on machine learning, and belongs to the technical field of book classification. The invention discloses an ancient book classification method and system based on machine learning. The method comprises the steps of collecting and preprocessing ancient book text data used for training, verification and testing; extracting text features capable of effectively representing the content and the structure of the ancient book text from the preprocessed ancient book text, and capturing a long-distance dependency relationship in the text by utilizing a bidirectional long-short-term memory network; a transfer learning technology is used, and a pre-trained word segmentation model and a classifier are combined for adjustment; and outputting a classification result, and providing a user feedback mechanism to continuously optimize the classification model. The method solves the problems that a lot of time and energy are needed for finding ancient literature literature of a specific theme or period, errors are likely to be made by manual cataloguing, and the efficiency is low. The efficiency and accuracy of ancient book classification are remarkably improved, and the classification precision is effectively improved.

The invention belongs to the technical field of power system data processing, and relates to a data semantic understanding and intelligent cataloguing method based on power industry data, which comprises the following steps: acquiring real-time monitoring data, equipment operation data, historical operation and maintenance data and business system data of a power system; carrying out missing value processing, abnormal value elimination, repeated data deletion and normalization processing on the collected data, carrying out integration through a data fusion algorithm to form a unified data set, carrying out semantic analysis on industry text data by utilizing a natural language processing technology, extracting key entities and relationships, and carrying out semantic analysis on the key entities and relationships; mapping the data into a knowledge graph in combination with a power industry ontology model to generate structured and semantic industry knowledge data; finally, through the semantic analysis result and the knowledge graph, the data classification label is automatically generated, intelligent cataloguing and efficient management are achieved, the intelligent level of data management is improved, the data search efficiency and utilization value are remarkably improved, and the complexity of manual intervention is reduced.

A method of automated cataloging includes: receiving a request for cataloging an item as an inventory from the computer device; generating a catalog model, using information about one or more objects; applying the catalog model, using information about the item; and searching within a database for an entry belonging to a class in which the item is determined to be. The database stores information about inventories, and at least a part of the one or more objects is included in the inventories.

The invention discloses a method and a system for solving compilation errors in intelligent contract version evolution. The method comprises the following steps: collecting and cataloguing major changes of all records based on an official Solidity website, screening to obtain major changes causing a compiling problem, and constructing a knowledge base of version migration; combining codes with compiling problems and compiling error information of the codes; slicing the smart contract code by using a static analysis tool, and retrieving a version migration knowledge base by using a retriever based on compiling error information to obtain related version migration knowledge; and guiding the large language model to generate a high-quality patch in combination with a result obtained by the analysis. According to the method, a static analysis tool, structured retrieval of expert knowledge and the generation capacity of a large language model are organically combined, the problem of compiling errors caused by Solidity language evolution is systematically solved, and developers can be effectively assisted in coping with version migration and code repair tasks.

The invention relates to the field of engineering investigation, and provides a graphical geological logging method for a probe groove in order to realize the integrity and continuity of a two-dimensional logging result after three-dimensional restoration: determining the spatial position of the axis of the probe groove in a three-dimensional engineering overall coordinate system, and generating a three-dimensional spatial form of the probe groove based on basic parameters of the probe groove; the probe groove is divided into a left side wall, a bottom plate and a right side wall to form a probe groove two-dimensional expansion view; establishing a local coordinate system on the two-dimensional expansion graph by taking a starting point or a stopping point of the axis of the probe groove as a coordinate origin, and drawing a two-dimensional coordinate grid on the two-dimensional expansion graph of the probe groove based on the local coordinate system; drawing a geologic body outcrop line and recording geological attribute information on the two-dimensional exploring groove expansion graph on which the two-dimensional coordinate grid is drawn according to data obtained after field excavation exploring groove; and mapping the outcrop line to the three-dimensional space model according to the mapping relation between the local coordinate system and the three-dimensional engineering overall coordinate system. By adopting the mode, the integrity and continuity of the two-dimensional catalog result after three-dimensional reduction are realized.

Disclosed are systems, servers and methods for providing a novel framework that enables the unique cataloging and organization of audio files, upon which audio rendering experiences can be created and provided to requesting users, whether the users are individuals or third-party partners. The disclosed framework enables audio files to be stripped down, uniquely stored, and then stitched together in a novel manner that previously did not exist within the computing arts. The disclosed systems and methods, therefore, provide a novel platform where audio is not just provided to consumers, but audio experiences are compiled from various types of audio formats and types in a unique, dynamically determined manner for a listening user.

A system and method for detecting and preventing ransomware is provided. The system and method may include the creation / addition of a number of watch files to a filesystem, wherein a location and a timestamp of the watch files may be added to an ingest log. In some embodiments, a number of native files of the filesystem may be cataloged, wherein the location and timestamp of each native file is added to the ingest log. Periodically, the timestamps and / or locations of each entry in the ingest log are compared to current timestamps and / or locations of the corresponding file in the filesystem to determine a count of watch files and / or native files that have changed, which may indicate that a ransomware program is running on the computer. Suspected programs may then subsequently be suspended and reported.

The invention provides an intelligent rapid cataloguing method, which comprises the following steps: to-be-catalogued resource information is imported, the to-be-catalogued resource information comprises resource types of to-be-catalogued resources, and the resource types comprise cloud network resources, data resources, application resources and component resources; selecting a resource cataloguing model version for the to-be-catalogued resource based on the to-be-catalogued resource information; loading the selected resource cataloguing model version to generate a corresponding cataloguing visual interface, and configuring a plurality of cataloguing attributes of the to-be-catalogued resource in the cataloguing visual interface based on the to-be-catalogued resource information; after cataloguing attribute configuration is completed in the cataloguing visual interface, a resource attribute definition table and a resource cataloguing information table are generated; and storing the resource attribute definition table and the resource cataloguing information table. The invention further discloses an intelligent rapid cataloguing device, a computer program product and electronic equipment. According to the resource cataloguing method, cataloguing attributes of resources can be configured visually, the development cost is saved, and a quality improvement closed loop of resource cataloguing is constructed.

The invention provides an electronic archive processing method and device based on multi-modal data. The method comprises the following steps: acquiring normalized electronic archive data in a current period; performing layout analysis on the electronic archive data, and identifying text information of the electronic archive data; utilizing a natural language processing model to extract entities and corresponding business elements in the text information; matching the entity with an existing entity in a stored electronic archive knowledge graph, and determining a unique entity identifier; based on the semantic features of the electronic archive data, the business elements and the text information, determining semantic relationships among different electronic archives; updating the stored electronic archive knowledge graph by taking the unique entity identifier as a node and the semantic relationship as an edge to obtain a new electronic archive knowledge graph; and based on the business elements and the new electronic archive knowledge graph, classifying the electronic archive data to obtain a classification result and corresponding cataloguing information. According to the method, intelligent extraction, semantic association and automatic cataloguing of the electronic archive elements are realized.

A platform simplifies the process of identifying and cataloging collectibles, specifically collectible cards (e.g., trading cards, sports cards, etc.). The platform can construct a catalog of various cards and use this catalog to identify and classify a card based on an image of the card. The platform includes capabilities to build-out / iterate the catalog when previously unknown cards are provided to the platform. A user's collection of cards can be managed and viewed within the platform. For dealers, the platform will allow the synchronization of inventory across multiple platforms, allowing dealers to list a larger portion of their collection for sale with minimal user involvement. Additionally, the platform includes a buy back button for “breakers” that allows for the participants in a case or pack break to immediately monetize the cards they receive in the break. Related apparatus, systems, techniques, and articles are also described.

The invention discloses a metadata management method and equipment based on a data weaving framework and a medium, and relates to the field of data governance, the method comprises the following steps: collecting metadata of a data source through a preset metadata management tool, and determining a corresponding metadata warehouse according to the metadata; determining a semantic relationship of the data source, determining a knowledge graph according to the semantic relationship, and determining a semantic representation template according to the knowledge graph; performing mining processing on the metadata to determine a recommendation engine, and performing cataloguing according to the metadata to determine a data service catalogue. According to the method, metadata is efficiently collected, the warehouse is determined, and data integration is facilitated; constructing a knowledge graph and a template according to a semantic relationship, and enhancing data semantic understanding; and a recommendation engine and a catalog generation catalog are determined for metadata mining, so that the data utilization efficiency and discoverability are improved, and enterprises are assisted in accurately managing data.

The invention relates to an intelligent data asset management system. The system comprises a data access layer, a data processing layer, an intelligent analysis layer and an application service layer, the intelligent analysis layer comprises an intelligent label recommendation unit, an intelligent cataloguing unit, an intelligent management unit and an intelligent housekeeper unit; the data access layer is used for receiving the multi-modal data assets and performing format standardization conversion to obtain standardized multi-modal data assets; the data processing layer is used for preprocessing the standardized multi-modal data assets and extracting modal features of each modal data; the intelligent housekeeper unit is used for inputting a question of a user into the intelligent question-answering big language model, performing intelligent question-answering according to an intelligent directory and a knowledge graph and outputting answer content; and the application service layer is used for calling the output of the intelligent analysis layer and providing a data asset query service, a quality monitoring service and a decision support service for a user. By adopting the method, a professional, accurate and efficient data asset data analysis report can be output.

The invention provides a space target cataloguing library maintenance method and device fusing post-event multi-source observation data, and belongs to the field of space situation awareness. The method comprises the following steps: acquiring post observation data of an observed space target and preprocessing the post observation data; calculating an observation arc section by using the preprocessed observation data, taking an obtained initial orbit determination result as an orbit feature of the observation arc section, further matching the observation arc section with orbit data of a target in a cataloguing library, and taking the successfully matched observation arc section as an associated arc section of the target; and performing precise orbit determination by fusing a plurality of associated arc segments of the target, and updating and maintaining the cataloguing library by using a precise orbit determination result. According to the method, data preprocessing can be rapidly carried out according to the input multi-source observation data, association matching of the data and the space target is completed, finally, precise orbit determination is carried out by fusing the multi-source observation data, the calculation efficiency and the process completeness are guaranteed, and maintenance of a space target cataloguing library is achieved.

The invention provides a power supply industry-oriented large language model corpus construction method. The method comprises the following steps of 1, deploying an RAG system in a working environment of a power supply industry; 2, performing knowledge retrieval by using the RAG system to obtain a question text and a plurality of answer texts, namely question and answer texts corresponding to the question text; 3, vectorizing the question text to obtain a question vector; step 4, all problem vectors are clustered, and each cluster is coded to obtain a cluster code; 5, encoding all question and answer texts according to clustering categories, and segmenting the question and answer texts into question fragments according to a time sequence; step 6, extracting the question of the corpus in the question segment, generating an answer, and calculating the confidence of the answer; and 7, cataloguing the question, the corresponding answer and the confidence into a corpus record, and storing all corpus records to obtain a large language model corpus for the power supply industry.

The invention relates to an integrated dynamic cataloguing and trading system based on medical health data capitalization, and belongs to the technical field of medical health data capitalization and trading. The method comprises the following steps: determining an ownership subject and a splitting rule through a medical health data capitalization element definition unit, and constructing a capitalization framework comprising ownership, value and compliance layers; the dynamic cataloguing unit analyzes and marks the multi-source medical health data, generates a dynamic cataloguing list with feature tags, and iterates along with scene and data changes; the asset value linkage transaction unit evaluates the asset value through a multi-dimensional algorithm, generates a pricing interval, and performs profit sharing and transaction track evidence storage based on an intelligent contract; and the compliance verification unit verifies ownership splitting, privacy protection, transaction qualification and profit sharing compliance in a whole process, marks risk points and generates a report. Integrated management of medical and health care data from capitalization conversion and dynamic cataloguing to compliance transaction is realized, and the problems that ownership is fuzzy, cataloguing is static, value is difficult to quantify, transaction is not compliant and the like are solved.

The techniques disclosed herein enable systems to leverage publisher profile and reputation to detect malware and block malicious actors. This is accomplished by obtaining a description of a software application that is pending release from the publisher. The description defines the nominal functionality of the software application such as expected program behaviors and device driver accesses. The system then catalogues the actual functionality of the software application by analyzing the program code implementing the software application. Accordingly, the generative model can detect inconsistencies between the actual functionality and the nominal functionality. In response, the generative model can initiate an interaction with the publisher to resolve the inconsistency. The publisher can respond with a justification of the inconsistency which is evaluated by the generative model in accordance with a reputation score associated with the publisher. The generative model optionally approves or blocks the software application based on the reputation score.

A system for evaluating and managing system performance of one or more customer systems, the system comprising: a repository for storing one or more objects; a gateway communicatively coupled to a customer system, the customer system separated from a wide area network by a firewall, and including one or more computer systems and databases within a customer premises, the gateway comprising a plurality of adapters configured to translate commands and data with system applications within a customer system without deploying agents within the customer system; a plurality of active objects configured to implement a plurality of workflows; one or more processors communicatively coupled to the memory and the gateway, the firewall being disposed between the gateway and the one or more processors, the one or more processors and the gateway being configured to: detect an alert that a monitoring policy related to a monitored event for the customer system has been violated, automatically generate and implement a corrective action workflow, and deploy the corrective action workflow through at least one of the plurality of active objects, wherein the corrective action workflows are assigned metadata via inputs and intelligent toolset to classify and categorize the metadata, and wherein the corrective action workflows are catalogued in a library and converted into model parameters, and wherein the detection of the alert is based on an inference.

A system and method for providing a cloud identity verification exchange service which ingests a plurality of identity assertion data from various Identity Providers and / or Service Providers and aggregates the ingested plurality of data into a master global authentication ledger. The system and method comprise: a data ingestion engine configured for acquiring, extracting, and loading data into the system as well as providing hashing capabilities; a metadata manager for collecting, organizing, and cataloguing ingested data based on collected metadata; and database for storing the master global authentication ledger. The master ledger acts as a central repository that consolidates authentication objects from various Identity Providers, allowing for centralized authentication management, auditing, reporting, and analysis. It provides a comprehensive view of authentication activities across multiple systems and enables the tracking of user authentication events across different identity providers.

The invention discloses a file processing method and system based on AI, RPA and OCR recognition, computer equipment and a storage medium, solves the defects in file material subdivision and standard cataloguing and limitation in application scenes in the prior art, expands the technical scheme to complex service scenes such as courts and hospitals, meets individual requirements of different fields, and improves the user experience. And meanwhile, the problems of disordered management and inaccurate electronic file cataloguing before paper files are archived are solved. The method comprises the following steps: carrying out OCR (Optical Character Recognition) on an electronic picture subjected to image preprocessing, analyzing and recognizing contents of files by utilizing an AI (Artificial Intelligence) engine, extracting key information, classifying, and subdividing file materials according to different types; according to the AI recognition result and a predefined cataloguing rule, the RPA robot automatically generates standard file titles and cataloguing names, file materials are classified into corresponding catalogue levels, and a complete electronic file catalogue tree is formed.

A system for locating, cataloguing, and displaying information-rich graphics is disclosed. The system comprising: computing devices configured with a computer application; and a user interface established in the computing devices. A storage medium, coupled to a processor. The processor enables the system to: receive user inputs from of the computing devices; parse the inputs to identify textual content, media content. The processor is further configured to: fetch content attributes from data sources based on the identified textual content and the media content. Further, the fetched content attributes are analyzed for cataloguing the content attributes into categories. The catalogued content attributes is further classified into dataset based on score. The processor enables the system to: generate information-rich graphics by encoding the classified content attributes into a multimodal embedding; and display the generated information-rich graphics on the user interface established in the computing device using the computer application.

The application provides a view label cataloging implementation and application method, system, device and medium, including the following steps: acquiring view information; performing feature analysis on the view information to obtain and store analysis label information associated with the view; taking time information in the stored analysis label information as a hinge label line, taking any remaining feature label in the analysis label information as another hinge label line, performing cleaning, collision and combination to obtain a label combination array; in response to a search condition, filtering all the label combination arrays, and outputting filtering information to enable a client to call associated view information. AI analysis labeling and manual labeling are combined, the view label is more perfect, and the manual label is not limited to AI capability, and can better meet the personalized needs of users. Applications are different due to scenes, but the labeling process and label storage and retrieval do not change with applications.

The application discloses an electronic medical record and a cataloging and classifying method, system and device thereof. The method comprises the following steps: obtaining standardized data by preprocessing multi-format medical record original data through a medical OCR model, a VAE anomaly detection algorithm, a medical knowledge graph word segmentation tool and a Transformer term standardization model; checking semantic rationality, extracting multi-dimensional features, and obtaining a comprehensive feature vector after strengthening and fusing; constructing a transfer learning classification model and training the model, inputting the feature vector to generate cataloging information; and finally, evaluating the classification result through an active learning mechanism, combining artificial labeling data and a causal forest dynamic updating framework, and incrementally learning and optimizing the model performance. The application solves the problems of low multi-format data extraction accuracy, insufficient term standardization and poor model generalization in the prior art.

The application discloses an archive intelligent cataloging method and device and a storage medium, which are applied to an edge node. The method comprises the following steps: performing hierarchical feature extraction and fusion on pre-collected archive information through a pre-deployed lightweight double model, and generating a cataloging item set with confidence annotation; uploading low-confidence cataloging items in the cataloging item set to a cloud server; acquiring cataloging correction data delivered by the cloud server, wherein the cataloging correction data is generated based on multi-modal comparative analysis of the cloud server on the low-confidence cataloging items; integrating cataloging items which are not marked as low-confidence cataloging items with the cataloging correction data, and generating a standard cataloging file according to a standard cataloging rule. The high-quality generation of the standard cataloging file in a complex scene is realized.

The invention provides a method, a device, electronic equipment and a system for enhancing large model understanding based on an unstructured file. The method comprises the following steps: acquiring an unstructured file, and uploading the unstructured file to a file management platform; extracting basic metadata of the unstructured file by utilizing the file management platform; based on the basic metadata, obtaining corresponding extended metadata, the extended metadata comprising at least one of the following: a data abstract, a data tag, cataloguing information and knowledge tree information; performing format conversion on the basic metadata and the extended metadata, and converting the basic metadata and the extended metadata into a Markdown format; and inputting the converted data into the text generation large model to enhance the understanding ability of the text generation large model for the unstructured file. The risk of misjudgment of the model can be reduced, and the accuracy and reliability of the model generation content are improved.