34 results about "Metadata modeling" patented technology

Transformations are provided for transforming a metadata model that contains model objects. The metadata model has a multiple layers including a lower layer containing one or more lower abstraction model objects having a lower abstraction level and a higher layer containing one or more higher abstraction model objects having a higher abstraction level. The transformations transform the model objects from the lower layer to the higher layer.

Systems, methods and techniques for managing data sets are described. In particular, systems and methods for modeling, representing, acquiring and disseminating large data sets and data files using metadata are described. The large data sets may include geospatial information. The metadata may be extracted from the data or provided separately. Such metadata may be used to represent the underlying data so as to avoid unnecessary and / or unwanted transfer, exposure or manipulation of the underlying data. The metadata may be represented in a static or dynamic fashion, and may be shared via, for example, social media networks and the like.

The invention provides a uniform resource model of a full service converged network, which uniformly treats various network devices, pipeline facilities, network services, value added services, content information, operation and maintenance management systems, even clients and the like, carries out attribute abstraction on the network resources by the abstract type technology and the metadata modeling technology, and provides a universal uniform resource model. The model sums up the attributes of the resources into a management attribute, a function attribute, a use attribute, a life cycle attribute, a maintenance attribute and a value attribute, and fully considers the integrity, expandability and relevance covered by the resource attributes. Based on the uniform abstract model, concrete substantiation semantic assignments can be implemented for different types of network resources, a concrete practical resource management system is conveniently constructed, the generality, sharing and convenience of the resource data are ensured, and a reliable, shared, uniform and efficient data base support is provided for the integrated planning / optimization of the network and services.

The invention relates to the technical field of cloud databases, in particular to a method for improving the reliability of metadata nodes of cloud databases. The method has the advantages that metadata are simultaneously written in a plurality of servers and are read from all the servers or written in all the servers in each procedure, accordingly, more than one copy of data is stored at any moment, more than one server runs at any moment, the simultaneous offline probability of the servers is extremely low, and the availability can be guaranteed without extra measures; the metadata servers are equal to one another, and accordingly influence on the availability and the reliability of integral metadata server clusters due to an optional offline metadata server can be prevented; the problem of single point of failure can be solved by the aid of the method; the method can be used for processing the metadata of the cloud databases.

In certain examples, a mechanism is provided for automatically performing join operations. Source data is received and a metadata model is received. The metadata model includes a hierarchical structure. The source data is aligned to the hierarchical structure in the metadata model to form a source data hierarchy. Based on the source data hierarchy, the source data is joined to geocoded information.

The invention discloses a data management system based on cloud computing. The system includes: a data maintenance module, which is used for CWM-based metadata modeling, metadata entity maintenance and metadata relationship maintenance; a data management module, which is used for metadata analysis and visualization presentation; a data storage library, which is used for metadata and meta-model storage and version recording; and a data integration platform, which is used for metadata extraction and integration, and integration of metadata into distributed database systems. The system also includes a resource scheduling engine data management module which uniformly manages and utilizes the metadata stored on different servers and storage devices. Through server and storage virtualization, resource integration modeling, a resource scheduling engine and other technologies, the system realizes integration of the metadata on heterogeneous resources, uniform management and utilization of the heterogeneous resources and resource sharing of service databases stored on the different storage devices.

The graph user interface creating process includes the metadata model establishing step of determining metadata type and its corresponding relation to business data and interface elements based on business data, business data type and interface elements; the business data model establishing step of describing required specific business data with the metadata type to establishing business data model; and the step of creating graph user interface by means of the corresponding relation among the business data model, the metadata model and the interface elements. The corresponding graph user interface creating system includes the metadata model creating unit, the business data model creating unit and graph user interface creating unit.

Provided herein are methods and systems for managing and using metadata in connection with data integration in an enterpirse computing environment. An integrated, platform-independent approach to metadata management may allow enterprise-wide access to data integration services and underlying data, and facilitate reuse and redesign of tools and jobs in the data integration environment. Tools are providing for managing metadata, including maintaining versioned metadata models that may be branched and merged during a design cycle, and dynamically implemented across the enterprise. The platform-independent approach may facilitate varied uses including implementations in heterogeneous hardware and software computing environments.

The invention comprises a method and system for reducing the apparent complexity faced by a user when confronted by this modeling environment. It provides for a metadata model that represents one or more data sources, the metadata model comprising a query layer combining tee functions of a data access layer and a business layer. The query layer includes query subjects that describe how to retrieve data from the data sources, and the query subjects contain query items. The query layer also allows the use of data access language statements which permit the use of more complex computed query subjects and query items.

The invention provides an interface construction method and device. The interface construction method comprises receiving frame request data, inputting the frame request data into a metadata design component to obtain a corresponding metadata model in the frame request data; setting up the metadata model by the template design component to generate the template data; inputting the template data toan interface rendering component for interface rendering to construct an interface framework. Based on the metadata model driving, the metadata model can be easily modified, not only an HTML5 interface can be generated quickly, but also the data can be required for frameworks entered by different users to generate personalized interfaces, the method not only ensures the stability of the originalsoftware system, but also meets the user's needs for personalized interfaces to the maximum extent. The generation of the template data can quickly generate a consistent style interface in batches, which greatly shortens the product delivery cycle and reduces the cost of research and development and management.

A method and system for mapping datasources in a metadata model that provides datasource connections that are structurally isolated from the metadata model and which incorporate physical datasource addressing information for mapping a logical datasource structured within the metadata model to a particular physical datasource “on-the-fly”, and in a run-time environment. In an embodiment of the present invention, security can be implemented to limit user access leveraging an organization's security regime.

The invention discloses a universal metadata / relational mapping frame. The universal metadata / relational mapping frame can be adapted to an existing metadata module of an electric power data management platform. By the adoption of the universal metadata / relational mapping frame, by means of dynamic proxy, AOP and the like, transparent object-oriented packaging is conducted on operations such as addition, deletion, change and search on the most original metadata, and abilities and features of a relation model are added to the metadata which are stored in the mode of a three-layer HashMap structure at the same time. According to the universal metadata / relational mapping frame, structural reading and writing operation on the metadata is converted into the object-oriented operation based on the relation model in a seamless mode, the intelligibility and the maintainability of codes of each layer of modules in the electric power data management platform are greatly improved, and the attention of system development and use personnel to the bottom-layer structure of the metadata is effectively reduced.

The invention provides a metadata model based function block diagram online debugging method. The method includes a) packaging typical real time data point and related essential properties thereof inan industrial control process into a metadata model having a uniform structure; b) based on the metadata model, defining and realizing different kinds of function blocks; c) introducing primitive information elements of the different function blocks on the basis of control command sets and metadata sets; d) generating an algorithm configuration file based on the above configuration file structureby configuration software and implementing an online monitoring function in online debugging through downloading and running the algorithm configuration file in an industrial controller and reading the metadata sets in the algorithm configuration file periodically; e) implementing an online value setting function through modifying the metadata sets by the configuration software. By adopting the method provided by the invention, communication efficiency is improved, safety of real time control data is improved and great convenience is provided for online real time debugging of control strategies.

The invention discloses a metadata model-based search method and a search device based on a metadata model. The search method based on the metadata model comprises the steps of mapping the field in the user document into an index field through the metadata model; carrying out schema dynamic matching on the index field to obtain a query result document; mapping the query result document to the field in the user document by the metadata model. Through the technical scheme, when the user document type changes, the metadata model is directly updated, the related configurations in the index server are not needed to be updated, and the reloading is saved, so the updating complexity is reduced, the development becomes more simple and efficient, the purpose of less resources and more stable service is achieved.

The embodiment of the invention discloses an analysis method and device based on a metadata model.The technical problems that as present metadata only has the functions of being capable of supporting storage position indication, historical data, resource searching, file recording and the like, and when a metadata needs to be analyzed in the following process, as data analysis needs to be carried out with an extra data processing method, the integrity of whole processing of the metadata is low are solved.The analysis method based on the metadata model includes the steps that a metadata analysis order directly or indirectly triggered through an operation interface is obtained, and the type of the metadata analysis order is determined; if the metadata analysis order is a consanguinity analysis order, associated metadata extracting corresponding to consanguinity analysis is carried out; if the metadata analysis order is an influence analysis order, associated metadata extracting corresponding to influence analysis is carried out; the extracted associated metadata is shown in a list or graph mode.

The invention discloses a metadata link-based data tracking method. The method comprises the following steps of collecting a data transmission log; generating a field-level metadata link according tothe data transmission log; tracking a field-level metadata link matched with the query condition according to the uploaded query condition; and performing visualization processing on the field-level metadata link to generate a graphical interface. The invention also discloses a metadata link-based data tracking system, which comprises a collection module for collecting data transmission logs; a generation module used for generating a field-level metadata link; a tracking module used for tracking a field-level metadata link matched with the query condition according to the uploaded query condition; and a visualization module used for performing visualization processing on the field-level metadata link to generate a graphical interface. By adopting the method and the system, the specific data can be quickly tracked through the field-level metadata link.

The invention provides a data management method and device. The method includes the steps of creating at least one metadata model in advance; for each service system, performing the specific steps that data is collected from a current service system by using the metadata models and transmitted into a data resource center, parameter information of the metadata models is determined, a metadata catalog is constructed according to parameter information of the metadata models, at least one target metadata model is determined according to the metadata catalog, and a data sharing service is publishedaccording to data collected by the target metadata models. The provided scheme can achieve data sharing among different service systems.

The invention relates to the technical field of information processing and provides an air traffic control information sharing system based on extensive makeup language (XML). Aiming at achieving metadata modeling and data structuring presentation of typical air traffic control data and achieving processing and exchange of system data, the system includes adopting the schema in the XML to standardize the air traffic control information. The system further includes a data sharing step. The data sharing step specifically includes first utilizing the Dietz coding rule to describe an XML document into a tree structure, namely the visiting sequence of elements is the serial number of preorder traversal of the elements if sequential access is conducted on the XML document in text form, otherwise texts of the XML document can be reconstructed in the schema of a document tree in preorder traversal. Corresponding queue nodes can be generated by Dietz coding and Java document object model (JDOM) analyzing and are read into a corresponding attribute list according to a queue node relation schema, and XML query is navigated by utilizing a route expression. The system is mainly applied to information processing.

The invention relates to a capacity expansion method and system of a metadata node cluster, equipment and a storage medium. A plurality of metadata services are deployed on each metadata node in the metadata node cluster; each metadata service independently corresponds to one metadata partition; the method comprises the following steps of: newly adding metadata node, determining at least one to-be-emigrated metadata partition needing to be emigrated in the original metadata node, and deploying a corresponding metadata service on the newly added metadata node, configuring the metadata service deployed on the newly added metadata node to be consistent with the configuration of the metadata service corresponding to the to-be-migrated metadata partition, and migrating the to-be-migrated metadata partition into the newly added metadata node. By adopting the method, the expansion complexity of the metadata node cluster can be reduced, and the expansion efficiency and effect of the metadata node cluster are improved.

The invention discloses a timing system for accurately accounting working hours of engineering machinery by using an attitude sensor. The timing system comprises a data storage processing module, an acquisition unit, a data conversion unit, a data modeling unit, a state judgment unit and an output unit. According to the timing system for accurately accounting the working hours of the engineering machinery by using the attitude sensor, the flameout state, the idling state and the working state of the machine are calibrated through machine learning and model training, and due to the fact that tonnages of different machines are different, learning and model training need to be carried out on each machine; meanwhile, model training needs to be carried out in different working states, data calibration in different working environments such as earth cutting and hammering is different, and through data acquisition of the intelligent sensor, judgment of the state of the engineering machine, modeling of the state of the engineering machine and application of a calibration algorithm for learning and obtaining of each machine are achieved; the working state of the engineering machinery per minute can be accurately known, the data real-time performance is high, and the data accuracy is high.

The invention provides an automatic association system and method for real-time streaming data and service dimension information in a cloud environment. The system comprises a metadata modeling module, a real-time data access module, a flow table association calculation module, a dimension data updating and storage module and a data persistence storage module. The metadata modeling module is used for carrying out abstract modeling on resources in the cloud computing platform to obtain model metadata; the real-time data access module is used for realizing real-time data access to the flow table association calculation module based on the model metadata; the flow table association calculation module is used for realizing automatic and efficient association of real-time flow data and dimension data; the dimension data updating and storing module is used for automatically updating dimension table data in the distributed cache; and the data persistence storage module is used for carrying out persistence storage on the real-time detailed data. According to the invention, efficient and automatic association processing operation of various original real-time data and business dimension data information generated by heterogeneous applications in a cloud environment is realized.

The present invention relates to a data collection method based on metadata, which includes the following steps: (1) separating the data collection process and data; (2) establishing a standard process; (3) establishing a metadata model; (4) implementing the data collection. This method analyzes a variety of different specific collection methods, defines the main process of data collection as a standard process, and abstracts data and special methods outside the standard process into metadata required by the standard process, establishes a metadata model, and standard process Cooperate with different metadata to realize data collection for different collection objects.

The invention discloses a space-time grid and tree fusion storage method for ship positioning data. The method comprises the following steps: constructing a space-time grid by adopting three dimensions of time, longitude and latitude, and modeling metadata of single ship positioning data in the space-time grid; the metadata are fragmented according to a time range to form metadata blocks, and the metadata blocks are managed by adopting a B + tree; constructing space-time grid codes in the metadata blocks, and sequentially storing the metadata into a metadata array according to an ascending order of the space-time grid codes; in the data storage process, as time goes on, metadata blocks and metadata of the metadata blocks are automatically established in a fragmentation mode according to the time range, and meanwhile ship positioning data are stored to storage nodes. According to the method, space-time grid codes are used as metadata indexes, and metadata can be quickly searched according to space-time conditions; according to the method, metadata is fragmented according to a time range to form metadata blocks, and the metadata blocks are managed by adopting a B + tree, so that the search range of target data is quickly narrowed.

An automated technique for generating target metadata for a CIM-enabled managed entity is provided. A method of generating management metadata for a resource comprises receiving information indicating a resource to be managed, obtaining information relating to the resource, extracting properties relating to management of the resource from the information relating to the resource, selecting from the extracted properties at least one property that is relevant to management of the resource, and for each of the at least one selected properties, generating metadata enabling the resource to be managed.