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 discloses a data processing method of an enterprise informatization system. The method comprises the steps of constructing index for the data and searching the date, wherein the index for the data is constructed according to the following steps: customizing attention aspects according to requirements; building a metadata model, at least comprising the following aspects such as keywords, types, type rating and associated words, aiming at the attention aspects; verifying the metadata model according to the standards set in advance, and converting the metadata model meeting the standards into a data base model; conducting dirty data processing; and enabling the data obtained by the last step to be persistent to be an index file. The data processing method does not concern a data base, the result obtained through searching can be traced, the data redundancy is avoided and the searching purpose is strong.

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.

In one embodiment, the present invention provides a data stream reference module 250 that can enable a user to perform forward tracing, backward tracing, and tracing indirect dependencies in a data model and / or metadata model. The tracing is not necessarily along a common hierarchical level but can be from one level to another.

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.

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 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 the 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 discloses a method for automatic screening and dynamic registration of metadata of structured data resources, and relates to the field of information technology. The method for automatic screening and dynamic registration of structured data resource metadata provided by the embodiment of the present invention extracts the business data corresponding to the required items and conditional items of the metadata model from the source data, and then registers them in the metadata warehouse , realize the establishment of a unified data structure in the metadata warehouse, and use the important business content scattered in the source data as an index to quickly provide source data, making it easy to migrate and exchange different source data, and thus improving the metadata. Data warehouses provide solutions with speed and effectiveness.

The invention relates to the field of metadata modeling and analysis technology, in particular to a data service pre-playing preview task scheduling method. According to the method, first, a test taskscheduling model is established, the load level of processors is calculated through working loads and communication loads of the processors to serve as a measurement standard during scheduling, an active report mode is adopted to design a task scheduling algorithm, a test task is decomposed into multiple subtasks, and the subtasks are distributed to the processors to complete running. Through themethod, idle processor resources are utilized to realize scheduling, distribution and automatic completion of the test task, collection and recovery of a test result and the like, the test task is reasonably scheduled, overhead is reduced, problems existing in traditional methods are effectively solved, and test speed is increased.

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 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.

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.