69 results about "Cataloging" patented technology

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 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 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.

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.

Embodiments of the present application disclose a file classification method and device based on keyword clustering, and an electronic device. After obtaining a set of files to be classified under an initial classification category and at least one keyword of each file to be classified, the keywords are clustered to obtain a clustering category, and the average similarity between the keywords in the clustering category is calculated. When the average similarity is higher than a similarity threshold, the keywords in the clustering category are fused to obtain fused keywords and a fusion category of the fused keywords. Then, the fusion category is taken as the initial classification category, the fused keywords are taken as the keywords, and the step of clustering the at least one keyword is executed again until the number of keywords is less than a number threshold. A reference classification category structure is obtained, the set of files to be classified is classified into the classification categories in the reference classification category structure, and a target cataloging result is constructed. Therefore, the accuracy of file classification and the cataloging efficiency can be improved.

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.

Methods and systems for providing and recommending geographically linked audio-visual experiences from cultural institutions are specified. Cultural institutions will utilize the item preservation subsystem to digitize items from their collections and related documents. The item preservation subsystem also provides insight regarding operating conditions within the organization. A content-visitor matching subsystem is used to create geographically based audio-visual compilations based on catalogued items. Users may search for compilations provided by cultural institutions within a geographic region. For each search, the content-visitor matching subsystem ranks and recommends nearby compilations from cultural institutions. The content-visitor matching subsystem also provides insight regarding conditions external to the organization that might impact visitor travel. A media matching subsystem enables cultural institutions to supplement their existing media with similar media provided by contributors. The media matching subsystem also enables supplementary media to be created based on text descriptions or existing media.

The present application relates to a kind of audio-visual archives intelligent classification identification and archiving method and system, comprising the following steps: S1: according to the file classification of company audio-visual archives, storage period identification, file title, archiving department and file catalog service rule, constructs service rule system;S2: the original high-definition data of audio-visual archives is obtained and preprocessed, and face recognition library is constructed;S3: audio-visual archives file intelligent classification identification model is constructed;S4: according to the preprocessed audio-visual data and face recognition library, audio-visual archives file intelligent classification identification model is trained, and the optimized audio-visual archives file intelligent classification identification model is obtained;S5: based on the optimized audio-visual archives file intelligent classification identification model, each collection file is intelligently distributed in front of collection link, and based on service rule system verification, auxiliary archivist carries out audio-visual archives file auxiliary classification identification arrangement and cataloging archiving auxiliary work.The present application can accurately classify and catalog audio-visual archives.

The invention discloses an automatic acquisition and intelligent analysis digital archive management system in the tobacco industry, and belongs to the technical field of archive management. The system adopts a micro-service architecture constructed based on a J2EE technical system and a Spring Boot framework, and comprises a data acquisition module, a data storage module, a data arrangement module, a query utilization module, a borrowing management module, an authority management module and a digital processing module. The data acquisition module is in butt joint with a service system through a standard interface and performs four-property detection on the electronic archive; the data storage module adopts a distributed architecture of MySQL master-slave copying and Redis caching, and archive files are encrypted and stored by adopting AES-256; the data arrangement module automatically completes data cleaning, file classification and cataloguing through an intelligent algorithm; the query utilization module supports multiple query modes; and the authority management module realizes fine control based on an RBAC model. According to the invention, full-life-cycle digital management of science and technology archives is realized, the archive management efficiency is greatly improved, the management cost is reduced, and the archive data security is guaranteed.

The invention discloses a cataloguing method and system for constructing a multi-target tracking demand, and relates to the technical field of spatial multi-target tracking demand analysis. The method comprises the steps that a simulation scene of space multi-target observation and operation is created, then observation tasks are created based on the simulation scene, the tasks cover various types of track measurement, optical imaging and the like, different observation tasks correspond to different observation devices, and requirement constraint items of the observation devices can be set; and finally, selecting observation equipment according to the observation task, performing automatic resource scheduling, including demand merging, visibility calculation, conflict resolution, segmental arc optimization and the like, on the observation equipment according to observation demands, and performing cataloguing to form an observation task observation plan. According to the method, the problems of low accuracy and poor stability of an existing multi-target tracking cataloguing method in a complex scene are solved, the performance and reliability of multi-target tracking are improved, and various observation devices can be effectively guided to execute observation tracking tasks.

A data platform for providing large scale data discovery with near real time data cataloguing and detailed lineage. Data is received from one or more sources, and the received data is written to a data storage systems. The received data is processed at the data storage systems using sensors at the data storage systems. Metadata and data definitions associated with the data are sent to a data service in near real-time. A data catalog is generated at the data service based on the metadata and data definitions associated with the data. Data lineage for the data is created at the data service. The data catalog and data lineage are presented at a data discovery interface.

The invention relates to the technical field of book management and natural language processing, in particular to a book cataloguing data automatic generation method based on deep learning, which comprises the following steps: (1) collecting and cleaning original information of books, (2) carrying out word segmentation processing on a cleaned text, (3) constructing a deep learning model based on Transformer, and (4) carrying out automatic generation on book cataloguing data according to the deep learning model. Step (4), performing preprocessing of the step (1) to the step (2) on the to-be-cataloged book; and step (5), performing post-processing on a prediction result. According to the book cataloguing data automatic generation method based on deep learning, the mapping relation between the book original information and the cataloguing rule is learned by constructing the deep learning model, automatic generation of cataloguing data such as classification numbers and subject terms is achieved, and cataloguing efficiency and data quality are improved. And efficient and accurate technical support is provided for automatic management of the library.

The invention relates to the field of artificial intelligence and pattern recognition, and discloses an archive category automatic judgment and description template matching method based on pattern recognition. The method comprises the following steps: acquiring original data and metadata of an archive; performing structured analysis and semantic feature extraction to generate a multi-dimensional feature vector; the archive category is judged through the ensemble classification model; searching a description template with the highest matching degree in the dynamic template library, and automatically generating and registering a new template if there is no high matching template; and finally, automatic recording is completed. Through a dynamic template mechanism and online incremental learning, full-automatic, self-adaptive and sustainable evolution of archive description is realized, and description efficiency, consistency and system robustness are improved.

The invention belongs to the technical field of optical measurement, and particularly relates to a multi-target data association cataloguing method. According to the method, in combination with association characteristics of a Deep Sort algorithm and time sequence multi-target data, target appearance characteristics are extracted in a real-time target tracking process by introducing a CNN model to perform nearest neighbor matching, track smoothness verification and confirmation are performed, the target tracking problem and the problem of frequent jump of a target number ID under a shielding condition are solved, and the target tracking efficiency is improved. And the serial number stability during multi-target tracking is ensured. After a multi-target two-dimensional track in a single measuring station is obtained, intersection calculation can be carried out on the two-dimensional tracks of two or more measuring stations to obtain a three-dimensional space track.

Described are methods and systems to convert electronic presentation slides into autonomous information collection and feedback systems. An electronic presentation file is uploaded via a computer networks to a Presentation Interpretation System (PIS) where the text and other digital contents are extracted, catalogued, and indexed. The extracted digital contents are sent to a Large Language Model System (LLMS). A Chatbot Component is associated with the presentation so as to receive human input and provide relevant feedback from the LLMS. A Calendar and Scheduling Component may also be added to the presentation for users to schedule a meeting or discussion with the presentation publisher. The presentation digital content is stored on an Information Collection and Management System (ICMS) and is reconstituted with the associated Chatbot and Calendaring Components in a format viewable online, and is then provided to viewers from a web server.

The invention discloses a marine economy sustainable development capability assessment method based on big data processing, particularly relates to the technical field of big data processing, and is used for solving the problems that an intermediate calculation result cannot be reused, calculation is repeated and response is delayed due to structure mismatch of batch calculation and instant query in existing marine economy assessment. Intermediate calculation results and data features and semantic attributes of the intermediate calculation results are extracted by analyzing historical batch calculation jobs, active reasoning is performed, a relation graph representing semantic association of the intermediate calculation results is generated, and an intermediate calculation result catalogue with a uniform interface is constructed according to the relation graph. Performing semantic equivalence reconstruction on the instant query target calculation diagram based on the historical calculation motif frequency spectrum to generate an optimization calculation logic diagram, mapping the optimization diagram and a catalogue, identifying a calculation sub-diagram capable of directly providing a result, finally executing the optimization diagram, obtaining the result by calling a catalogue interface, and completing residual calculation to respond to query. And intelligent identification and efficient reuse of historical intermediate calculation results are realized.

The present application relates to the technical field of book cataloging, and particularly relates to a book automatic cataloging method, comprising: generating a multi-row cataloging text box image of a book cover image through improved YOLO; generating name text and description text through an OCR model from the cataloging text box image; classifying the description text to generate title text and synopsis text; if the text length of the title text is greater than the lower limit of the text length, then generating a book classification label through a title classification model based on an improved clustering algorithm by clustering calculation of the title text and the classified title in a book management library; if the text length of the title text is less than or equal to the lower limit of the text length, then generating a book classification label through a text classification model based on an improved neural network from the synopsis text; and inputting the text and the book classification label into a library automation system. The present application avoids the interference of background patterns or decorative text on OCR, makes the cataloging and classification result of the book more accurate, and realizes accurate cataloging and management of the book.

The application relates to a space target track correlation and orbit parameter estimation method, and belongs to the space situation awareness field.The application is realized by the following steps: orbit propagation to the observation epoch, calculation of the average normalized information square (NIS) of the track, judgment of whether the track is abnormal according to the average NIS.If the track is not abnormal, the track is directly correlated with the catalog library target, no maneuver occurs, a filtering method is used for updating, and the catalog library is updated.If the track is abnormal, maneuver correlation and maneuver parameter joint estimation are triggered.The joint estimation method takes the maneuver time and the maneuver vector as optimization variables, calculates the average NIS of the track, solves the optimization problem by minimizing the average NIS of the track, obtains the optimal loss function and the maneuver parameter, sets the loss function threshold and the maneuver parameter range to judge the correlation, iteratively judges the maneuver correlation until all the tracks are processed, and then the correlation and the maneuver parameter of the track are obtained.

Introduced here is a computational architecture (also referred to as a “computational infrastructure”) that addresses the limitations of traditional data management solutions using a highly secure data management solution coupled with consent-based sharing. At a high level, the computational architecture applies blockchain methodologies to both transaction data and business data such that both types of data are stored “on chain” in the same computational architecture. This enables several significant advantages over traditional data management solutions with respect to data security, data ownership, data sharing, and intelligence.

Systems and methods for seismic data cataloging are provided. A method includes: receiving first seismic data files (SDFs) in a first file format (FFF), each including a seismic display pattern, de-duplicating the first SDFs to generate second SDFs in the FFF, identifying seismic three-dimensional (3D) files in the FFF and seismic two-dimensional (2D) files in the FFF from among the second SDFs, extracting header information from each seismic 3D and 2D file, converting each seismic 3D file to a corresponding plurality of seismic files in a second file format (SFF), each including a respective seismic display pattern, generating a corresponding histogram for each respective seismic display pattern for each seismic 3D file and the plurality of seismic files in the SFF, comparing each corresponding histogram for respective corresponding pairs of files to determine whether both have a same amplitude, if not, repeating the converting, generating, and comparing.

The invention relates to an intelligent agent-based electronic archive storage system, which adopts a three-layer integrated and multi-intelligent agent collaborative hierarchical architecture design, and gives full play to the advantages of a large model in semantic comprehension and decision support through three-layer division collaboration. And high automation of the whole process from data access, identification and classification, cataloguing to archiving is realized. A Qwen-72B-Chat model is combined to carry out autonomous analysis on deep semantics of the archive text, and high-dimensional feature extraction and accurate classification are realized; industrial standards and regulation changes are dynamically integrated through the knowledge graph, and intelligent decision support of classification and retrieval is improved; and finally, a multi-agent architecture and a distributed consistency algorithm are adopted to ensure that the system still has high availability and strong self-healing capability in a large-scale and heterogeneous environment.

The present disclosure relates to a catalog information quality evaluation method and device, equipment and medium, wherein the method comprises: obtaining catalog information of multimedia content, determining to-be-evaluated catalog content and control catalog content corresponding to the to-be-evaluated catalog content from the catalog information; filling the to-be-evaluated catalog content and the control catalog content into a preset prompt word template to generate an evaluation prompt word of the catalog information; wherein the evaluation prompt word comprises the control catalog content, the to-be-evaluated catalog content and first prompt information; inputting the evaluation prompt word into a large language model for processing to generate a quality evaluation result of the to-be-evaluated catalog content; wherein the first prompt information is used to make the large language model evaluate the potential risk of the to-be-evaluated catalog content based on semantic understanding to determine the quality evaluation result. According to the technical solution of the present disclosure, multi-dimensional quality evaluation of catalog information can be performed to ensure the accuracy of catalog information.

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

This invention relates to the field of end-to-end management and control technology for archival digitization, specifically an intelligent management and control system and method for the entire archival digitization process. The intelligent governance system for the entire archival digitization process within the system receives the standardized fused dataset, performs intelligent cataloging, quality verification, dynamic anonymization, and intellectual property rights confirmation marking on the archival data based on machine learning algorithms, completes metadata standardization processing, and outputs the governed archival dataset to the blockchain-enabled trusted archival storage and traceability mechanism. This invention achieves automatic cataloging, quality verification, dynamic anonymization, and intellectual property rights confirmation marking based on machine learning, forming a closed-loop governance mechanism that significantly reduces manual intervention and ensures the security, standardization, and clear ownership of archival data during the transfer process.

The invention relates to the technical field of databases, in particular to a PHP-based method for realizing dynamic storage of media asset cataloguing metadata, which comprises the following steps: for newly added metadata, creating a primary key ID field of a data table and setting a material index associated with media asset materials; extracting attribute information from the metadata, and configuring field information according to the attribute information; and establishing an attribute table corresponding to the metadata according to the field information, and organizing the attribute table into an attribute group table. Aiming at the problem that a metadata database in the prior art is poor in performance during processing of multi-type metadata, effective organization of the metadata is realized by introducing an attribute table and an attribute group table, dynamic configuration of a metadata structure is supported, different business requirements can be met without code modification, and the dynamic configuration of the metadata structure is supported. The support for different types of metadata structures is improved, and effective association for multiple types of metadata is improved.