72 results about "Relational structure" patented technology

Techniques are described for executing queries that have XPath sections that specify unmappable paths. The techniques involve splitting the unmappable paths into (1) a mappable path fragment, and (2) an unmappable path fragment. After an unmappable path has been split into a mappable path fragment and an unmappable path fragment, the XPath section is replaced with a replacement XPath section. The replacement XPath section specifies two operations: a “mappable operation” that is based on the mappable path fragment, and an “unmappable operation” that is based on the unmappable path fragment. The portion of the replacement XPath section that specifies the mappable operation is rewritten to access underlying relational structures. Consequently, when the rewritten query is executed, a smaller amount of XML data needs to be materialized to evaluate the unmappable path fragment than would otherwise have been required to evaluate the original unmappable path.

A method and system for performing spreadsheet-like operations in a database system is described herein. As explained, a database language is extended to introduce new clauses (“spreadsheet-like clauses”), for defining and executing spreadsheet-like operations on data contained within a RDBMS. According to one aspect of the invention, in response to receiving a database query that specifies an operation for manipulating data, data from a relational structure is retrieved and stored in a non-relational structure that can be addressed as a multi-dimensional array. The operation specified in the database query is the performed on then data.

The invention relates to a model and modeling method of the multi-dimensional data integration of heterogeneous databases of an electric power information system. The modeling method comprises the following steps of: (a) establishing a basic container hierarchical structure, predefining a template for each container, i.e. standardizing the problem of loading objects during the actualization of the containers according to the type of the containers, classifying the abstract containers into a plurality of types, and modeling by utilizing the container templates and the hierarchical relational structure thereof; (b) establishing a uniform and standardized common naming method for managing heterogeneous object models of the electric power information system so that a private object of each data source can be reduced to a same common object; (c) loading the common object to private object mapping relationship, establishing common object information, private object information of the heterogeneous databases and the mapping relationship of the common object information and the private object information of the heterogeneous databases through XML (Extensive Makeup Language) description files which are derived by the data sources and contain common names, and loading the objects and the mapping relationship thereof into a hierarchical container model established in the step (a). The invention reduces the complexity and the cost of the data integration without secondary development and maintenance.

The invention relates to a lightweight BIM big data online visualization method and system. The method includes the following steps that lightweight analysis based on semantic guidance is conducted on a BIM scenario component set to obtain a lightweight component base; the interior structure of a BIM building is automatically partitioned to generate multiple relatively independent spaces and a relation structure chart of the relatively independent spaces; a multilayer data index structure with multi-granularity decomposition is established according to the relation structure chart and the component set in each space; the lightweight component base is called according to the multilayer data index structure to achieve progressive visualization of the BIM building, and in the visualization process, with each space as the unit, data in the next space relative to the current space is cached and data in the last space is deleted. Compared with the prior art, the method and system have the advantages of automation, lightweight, fine granularity and the like.

The invention discloses a cross-language knowledge graph entity alignment method based on a GCN twinning network. The method comprises the steps: firstly respectively extracting an adjacent matrix andan attribute information matrix for knowledge graphs of two languages, enabling the known alignment entity pairs of the knowledge graphs of the two languages to serve as positive samples, and forminga positive sample set; respectively constructing a GCN twin network for the relationship structure information and the attribute information, respectively recording the relationship structure information and the attribute information as GCN _ SE and GCN _ AE, and training the GCN twin network GCN _ SE by taking adjacent matrixes of the two knowledge maps as inputs of the GCN twin network GCN _ SE; taking the adjacency matrix and the attribute information matrix of the two knowledge maps as the input of a GCN twin network GCN _ AE, and training the GCN twin network GCN _ AE; and obtaining a potential alignment entity result based on the trained GCN twin network. According to the method, only relation structure information and attribute information between entities in the multi-language knowledge graph and part of aligned entities are needed as a training set, and multiple potential aligned entity pairs can be inferred at the same time without acquiring extra entity feature data.

Visualization frameworks may include solvers. The solvers may be used to determine the properties of view components of view compositions. In some instances, the solvers may be explicitly composed using a relational structure, such as a dependency tree. In some instances, the solvers may be implicitly composed based on property-setters having solvers invoking other property-setters having solvers.

Systems and methods for relating network elements to customers in a communications network using an object-oriented relational structure. The present invention is directed to systems and methods for relating network elements to customers in a communications network using an object-oriented relational structure. According to one embodiment, the object-oriented system, for relating network elements to a customer or for relating a customer to the network elements, includes a network element data module containing network element data arranged in a form that can be manipulated using an object-oriented application; a customer data module; and a mapping module in communication with the network element data module and the customer data module for creating an object-oriented model of the network elements. The output of the mapping module comprises a plurality of sub-tree layers wherein each layer represents a layer of abstraction, and wherein a root represents the highest sub-tree layer and the highest level of abstraction and a plurality of unique customer identifiers assigned to network elements that relate the customer to certain network elements.

A relational database access system and method provides a new data representation and a query technique which allows information system end users to access (query) relational databases without knowing the relational structure or the structure query language (SQL). The present invention utilizes semantically dynamic objects.

A system for collecting marketing information enables manufacturers to efficiently gather marketing information and provide incentives to customers for the information. A retail store writes read-permission information in information storage media of a product at the time of checkout (step S2). A customer reads product identification information from the information storage media of a purchased product on condition that the information storage media stores the read-permission information (step S3). The customer transmits the product identification information and his / her customer information from a customer terminal (step S4). A manufacturer server receives the product identification information and the customer information from the customer terminal (step S5) and stores them in a relational structure, and also manages the provision status of incentives offered to the customer providing the information.

A relational database access system and method provides a new data representation and a query technique which allows information system end users to access (query) relational databases without knowing the relational structure or the structure query language (SQL). The present invention utilizes semantically dynamic objects.

A database abstraction layer provides structured access to an unstructured database. The database abstraction layer imposes a relational structure on the otherwise unstructured data, so the data may be accessed as though it were stored in a relational database.

The invention provides an on-line monitoring grounding wire lead-out structure of a high-voltage sleeve, comprising a high-voltage sleeve and a connecting terminal. The structure is characterized by also comprising a jacket the bottom end of which is connected with the high-voltage sleeve, wherein the jacket comprises a cavity, and the cavity is internally provided with a conducting rod; one end of the conducting rod is connected with the connecting terminal, while the other end extends out of the jacket and is connected with a connecting element; and an insulating filler block is arranged between the jacket and the conducting rod. In the invention, the newly designed jacket is used for replacing an original cap, and other separated and insulated parts are matched with the jacket, thus the structure can be directly arranged on the existing high-voltage sleeve tap structure without changing other relational structures. The structure not only reliably achieves the on-line insulated monitoring of the high-voltage sleeve, but also saves the processing and mounting cost, is quite convenient to use and can guarantee good electric connection and sealing property.

Analyzing system malfunction data and associated direct and indirect effects in a collaborative tool to determine relationships between the effects and the system malfunction information. System malfunction cases and other data are received and stored. A user may view and / or modify the system malfunction data. The data may be presented in a relational structure. Each system malfunction case is linked to one or more direct effects, and each direct effect is linked to one or more indirect effects.

The invention discloses a content-based mixed graph model image recommendation method, and relates to the technical field of intelligent media computing and big data analysis. By utilizing data of multiple relational structures of a social curation website, various data relationships form a mixed graph model; and by fully utilizing data of a network, pictures are recommended to a user in combination with a random walk algorithm and content information of the pictures. The content information is combined with a mixed graph, so that the recommendation capability of a recommendation system can begreatly improved.

The knowledge graph construction method for the multi-source Chinese financial announcement document comprises the following steps: structuring the hierarchical relationship of each chapter of the document, and constructing a relatively complete document structure tree; labeling all the title data; unifying the length of the title to a preset word number, and carrying out word embedding coding at a character level by using BERT to obtain a corresponding vector representation; dividing the processed data set into a training set and a test set, and training to obtain a title classification model; classifying the document titles by using a title classification model; the complex and effective knowledge of the effective text blocks is masked; constructing a semantic model with a mask, constructing a multi-source similar generalization mask Bi-LSTM semantic model (M-MST model), and feeding the M-MST model for training to obtain a knowledge extraction model; according to the knowledge extraction model, combining with an external knowledge base to obtain an entity relationship triple; and constructing a multi-source financial announcement document knowledge graph and realizing incremental updating or expansion. The invention further discloses a system for implementing the knowledge graph construction method for the multi-source Chinese financial announcement document.

Executing business logic for an entity of a relational structure having a plurality of entities includes obtaining data associated with a first entity of the plurality of entities of the relational structure. The obtained data at least partially causes actuation of a trigger. Based on actuation of the trigger, particular business logic associated with the trigger is identified. The business logic is executed for a second entity that is related to the first entity within the relational structure, by using the obtained data associated with the first entity as a parameter value for execution of the business logic for the second entity. A computing action is performed based on a result of executing the business logic for the second entity.

The invention provides an enterprise change information data mining method. The method includes: acquiring information source data of an enterprise change event and to-be-mined information, and cleaning the information source data according to the to-be-mined information to acquire an association relation table; defining a relation structure table, and extracting an enterprise change event relation structure according to the relation structure table and the association relation table; traversing the association relation table, and supplementing starting time and finishing time in the enterprise change event relation structure to form complete data mining information. By adding dimensionality of time on the basis of original static enterprise operation conditions, changing conditions of many years of operation of an inquired enterprise is presented dynamically for a user in this form, so that the user can visually acquire changing conditions of personnel, stock rights and outward investment of the enterprise and can be assisted in making better judgment.

Translation architecture that facilitates translation between schema data and relational structures. The architecture includes a translation component that consumes schema data ( e . g ., an XML schema) that includes a schema structure, validates the schema structure, and persists in memory a representation of the schema as a relational format. Since schemas are shredded into tables, instance validation loads only the necessary components to perform validation. During validation, only parts of the schema that are used are loaded and cached. A schema cache stores the in-memory representation of schema optimized for instance validation. Schema components are loaded from metadata into main memory as read-only objects such that multiple users can use the in-memory objects for validation, query processing, query optimization and storage optimization of XML instance data .

A computing device including a file system in memory is provided. The file system has a plurality of items. Each item can be one of a file or a folder. Where an item is a file, it has a unique content. Where an item is a folder, it is represented by a plurality of container structures. Each container structure references items in the file system through the use of references such as pointers. Each item can be contained by more than one folder by being referenced by more than one folder. Each item can also include a contained-by structure including references to folders containing that item. Moreover, each item can include relationship structures allowing the items to be organized in accordance with relationships other than contained-by relationships, such as content derivation relationships. The file system can be manipulated through the use of various operations such as “Archive” and “Restore” operations.

The invention provides a security mechanism with combination of a secure channel switching strategy and a curtain-style digital signature scheme, which aims at guaranteeing the security of a single-transceiver time-slot type cognitive radio C-MAC (Cognitive-Multiple Access Control) protocol and preventing possible channel preemptive-type denial of service attack. The method comprises the following steps of: carrying out random sequencing and encrypting by utilizing an available channel list so that malicious nodes can not monitor channel consultation information between communicating parties, thereby avoiding the malicious nodes from seizing channels; and secondly, establishing a signature scheme with a curtain-type relational structure by adopting two hash functions to solve the problem that the correlation of a plurality of signature process needs to be guaranteed when a cognitive ratio network adopts digital signatures. The invention guarantees the suspensive communication caused by withdrawing a master user before the cognitive ratio C-MAC protocol can be accessed into an idle channel to continuously communicate under the situation of suffering from denial of service attack.

Visualization frameworks may include solvers. The solvers may be used to determine the properties of view components of view compositions. In some instances, the solvers may be explicitly composed using a relational structure, such as a dependency tree. In some instances, the solvers may be implicitly composed based on property-setters having solvers invoking other property-setters having solvers.

Providing a broadcast system wherein storage of contents on the receiving side and use restriction on the stored contents, etc. can be performed per service provided by contents providers. In a storage-based digital broadcast system wherein contents transmitted from a sending side are stored on a receiving side then reproduced, the sending side transmits service structure information for describing relational structure between services provided by contents providers and reference information for associating the contents with the service structure information in advance, and the receiving side receives and stores service structure information and reference information and uses the received service structure information and reference information to manage storage of contents. It is possible to control contents per service based on service structure information and information that can be reorganized from reference information.

The invention relates to a knowledge graph construction method and system based on a manufacturing field. The method comprises the steps of acquiring description statements of the machining process ofthe manufacturing field; performing statement splitting and semantic analysis on the description statement of the manufacturing field processing process based on a pre-established knowledge dictionary to extract corresponding words; performing automatic matching according to the knowledge dictionary to classify the words; querying the knowledge dictionary, and replacing the classified words to obtain standard words corresponding to the classified words in the knowledge dictionary; generating a triple relation structure according to the standard words; obtaining structured data of a knowledgegraph of a to-be-constructed manufacturing field according to the triple relation structure, wherein the structured data comprises a plurality of entity names; and updating the structured data according to the reference entity names corresponding to the plurality of entity names to obtain a knowledge graph of the manufacturing field. The knowledge graph in the manufacturing field constructed by the method is high in accuracy.

The invention provides a knowledge map representation learning method based on entity and relationship structure information, the method comprising the following steps: acquiring structural semantic information of the entity and structural semantic information of the relationship in the knowledge map; according to the structural semantic information of the entity and the structural semantic information of the relationship, constructing an entity target vector and a target relation vector; constructing a score function according to the entity target vector and the target relation vector; constructing a loss function according to the score function, and learning an optimal vector representation of an entity and a relationship by minimizing the loss function. The present invention makes fulluse of structural information around entities and relationships to enrich and constrain the representation of entities and relationships. The method effectively enhances the expression ability of theentity and the relationship, constructs a new objective function, better expresses the entity and the relationship, and preserves the relationship between the entity and the relationship, so that themethod can be well applied to the large-scale knowledge map complement.

A messaging server (112) provides a message store (116) for storing messages in a relational manner. A set of related messages, such as an email string between two or more people, is represented as a message container (200) having relational references to one or more submessages (210, 212, 214). The messaging server (112) processes non-relational messages sent by the server by inserting (516) tags that uniquely identify components within the message. The messaging server (112) also processes tagged or untagged non-relational messages received by the server to create (616, 618) relational counterparts in the message store (116). Relational searches can be executed on the messages in the message store (116) to perform audits or forensic analyses of the messages.

Implementations of the present specification include polling the blockchain at specified time intervals, receiving block information from one or more updated blocks, the block information including static information and dynamic information, the dynamic information including one or more variables to be used in a smart contract, converting the dynamic information into one or more binary logs, and updating the local database using the one or more binary logs.

The invention discloses a corner nailing machine. A positioning mechanism is arranged at the upper surface of a worktable; the positioning mechanism comprises a plurality of positioning bars which are arranged corresponding to the shape of a work piece; the positioning bars are fixedly connected with a push mechanism and are capable of freely sliding along the upper surface of the worktable; the push mechanism comprises a sliding bearing, a push rod and a bearing seat, wherein the push rod is mounted in the sliding bearing; the bearing seat is used for mounting the sliding bearing; the push rod is capable of freely sliding along the sliding bearing; the bearing seat is fixedly arranged at the upper surface of the worktable; a limiting block is also arranged on the push rod. By moving the position of the work piece, the corner nailing machine disclosed by the invention is capable of realizing processing of a small product or a simply structured product and greatly lowering the cost of equipment; moreover, the push mechanism adopts the sliding bearing; by arranging relational structures of a bearing bush and an oil filling hole, the push friction force can be reduced, noises are reduced, and the service life of the push mechanism is prolonged.