2438results about "Database models" patented technology

A system and related techniques accept user-inputted search terms, for example to perform a search for files or other data or objects. Corresponding matches to those terms may be presented to the user in a “word-wheel”-type breakout list generated on the fly for groupings of hits by attributes or other criteria, as the system searches through the file system at the current level or point in the file system hierarchy. According to embodiments, when the search logic fails to locate a hit on the inputted search term at the current level or point in the file system hierarchy, an extension of the search to different levels or points in the file system hierarchy may be automatically generated, and for instance presented to the user as a selectable search box. That box may for example be highlighted to the user for easy selection. When the user does select the selectable search box, the user's search, for instance for files of type or extension “.doc” or “.memo”, may be seamlessly extended to other files, folders, trees or other points or levels in the file system hierarchy. Search results may be continuously or dynamically updated as the user, for example, enters more characters or other data.

A system, method, and computer readable storage medium for accessing a data file shared by all computing nodes participating in a system based on a blockchain protocol. The data file includes transactions and blocks. The transactions are data to be stored in the blockchain and the blocks are records that confirm when and in what sequence certain transaction became journaled as part of the blockchain. A request is received to include a plurality of transactions each with additional data as a new block on the blockchain. Criteria that includes a settable period of time or a settable number of transactions received is used to determine how many transactions go into a new block. A directed acyclic graph (DAG) is accessed that is constructed based on inter-dependencies among the transactions. The transactions for the new block are divided into a set of two or more independent tasks that can be executed in parallel based on the DAG. The independent tasks that can be managed independently are executed.

Method, article of manufacture and apparatus for playing back recorded database activity in a graphical user interface. Chronologically ordered database event information is dynamically displayed in a user interface having user-selectable graphical elements associated with predefined playback controls.

The invention discloses a data sharing exchange system and method based on a block chain. The system comprises a data sharing exchange center, a front-end system and a block chain basic platform. Thedata sharing exchange center comprises a data sharing exchange control system, a data resource center and a client; The front-end system comprises a data acquisition system, a shared exchange module and a feedback module; The block chain basic platform comprises an alliance chain module and a data sharing exchange management module, the alliance chain module is responsible for intelligent contractand verifying credibility configuration of nodes, the intelligent contract generated in the data sharing exchange process is verified, and the data sharing exchange center communicates with the front-end systems in an alliance chain mode. According to the invention, the credit problem and the incentive problem of data sharing exchange in a multi-party participation environment are solved, the security and the reliability are ensured, the enthusiasm of a user for publishing and updating the sharing exchange data is promoted, and meanwhile, the guiding effect on user decision can be realized.

An Internet of Thing (IoT) device includes a camera coupled to a processor; and a wireless transceiver coupled to the processor. Blockchain smart contracts can be used with the device to facilitate secure operation.

A method, system and computer program product is provided achieving database sharing by providing an interface to contribute a database and a set of resources to a resource pool in a first cloud environment. The interface further allowing a user to input parameters identifying a database, a set of resources, a set of authorization credentials, and a sharing policy. The interface further comprising responsive to the user using the interface and providing the interface parameters which identify the database, the set of resources, the set of authorization credentials, and the sharing policy, adding the database, the set of resources, the set of authorization credentials, and the sharing policy to the database resource pool in the cloud environment, sharing the database, the set of resources, according to the sharing policy, and utilizing the set of authorization credentials.

A system and method for implementing a graph database to analyze and monitor a status of an enterprise computer network is provided. In one example, a plurality of sensors can be inputted into sensor interface in which all of the data associated with the sensors in converted into a common data format. The data can be parsed into a data model that contains nodes and edges in order to generate a graph database model that can allow a network analyst to analyze the real-time status of a computer network. The graph database model can include multiple layers including an infrastructure layer, a cyber threats layer, a cyber posture layer, and a mission readiness layer. The graph database model can also be queried by a user using a domain-specific query language, so as to provide a user-friendly syntax in generating queries.

The present disclosure provides a fast approximate as well as exact hierarchical network storage and retrieval system and method for encoding and indexing graphs or networks as well as for identifying substructure matches or analogs within graph data. Cognitive Memory encodes graphs via generalized combinatorial maps and a new quantum-inspired Q-Hashing algorithm to summarize local structures of the graph along with a contraction and graph property calculation to build an index data structure called the Cognitive Signature for property based, analog based or structure or sub-structure based search. The system and method of the present invention is ideally suited to store and index all or parts or substructures or analogs of graphs as well as dynamically changing graphs such as traffic graphs or flows and motion picture sequences of graphs. The system and method has the advantage that properties of the Cognitive Signature of the graph can be used in correlations to the properties of the underlying data making the system ideal for semantic indexing of massive scale graph data sets.

Shared storage architectures and methods are provided. A particular shared storage architecture is a system including shared storage including data and file system metadata separated from the data. The file system metadata includes location data specifying storage location information related to the data. Services are provided from service providers to service consumers through the shared storage.

Situation detection systems and methods are provided, in which the capabilities of standard event stores and relational systems are enhanced by augmented event-oriented algebraic operators. Rules involving the event-oriented operators are combined with conventional relational algebraic techniques, and applied to an event database in order to detect more complex patterns, indicative of composite events or situations.

A method, system and article of manufacture implementing the method repairs a table. A replication environment has a first replicate comprising a source table on a source server and a target table on a target server. The source server transmits replication data from the source server with repair data from the source server to the target table in accordance with a commit order of the replication data and the repair data. The target server applies the repair data and the replication data to the target table based on the commit order.

The invention discloses a domain knowledge map construction method and system based on big data driving, and the method comprises the following steps: crawling a data source in a network, and obtaining first data information; Performing data information extraction on the data source to extract association information between the entities; carrying out Knowledge fusion on the association information between the entities, and establishing a relational database; And converting the relational database into a graph database model to construct a knowledge graph. The method can provide strict and rich data modes, assists various complex analysis applications or decision supports, is high in accuracy, has a guidance value in the actual construction process of the knowledge graph, and has industrial significance.

A method, system and computer program for processing materialized tables in a multi-tenant application system, wherein in the multi-tenant application system, a plurality of tenants share one or more basic-tables. According to the data access history information of the plurality of tenants, an update pattern analyzer analyzes the similarity of the update patterns for one or more basic-tables by the plurality of tenants. Furthermore, according to the similarity analyzed by the update pattern analyzer, a tenant grouping means groups the plurality of tenants into a plurality of tenant groups. Additionally, according to the tenant groups grouped by the tenant grouping means, a materialized table constructor constructs the tenant group materialized tables from the one or more basic-tables.

The invention provides an alarm root cause analysis method, device and equipment and a storage medium, and relates to the technical field of operation and maintenance. The invention provides a methodfor carrying out alarm root cause analysis based on double correlation, and the method can integrate the time sequence correlation of different alarms and the topological correlation of different alarms to mine root cause alarm information from a large amount of alarms. Time sequence association information based on alarm is obtained. clustering the plurality of alarms; obtaining root cause alarminformation according to the target class conforming to the topology association condition; The alarm root cause analysis method and device can screen out alarms with strong correlation in time sequence and topology at the same time and filter out accidental adjacent noise information in time and accidental adjacent noise information in topology, and therefore interference of the noise informationon alarm root cause analysis can be avoided, and the accuracy of the alarm root cause analysis is improved. Meanwhile, a large amount of business domain knowledge is not needed, and manual definitionof reasoning rules is not needed, so that the cost of alarm root cause analysis is saved.

The invention discloses a metadata management method and device and a computer readable medium. The method provided by the embodiment of the invention comprises the following steps: carrying out full-chain management on metadata comprising service system metadata, data warehouse metadata and data application metadata in a process link from data generation, data processing and data result application, and comprises the following steps: obtaining the metadata and storing the metadata in a metadata warehouse; obtaining metadata blood relationship among different metadata and storing the metadatablood relationship in a graphic database; and storing the metadata index in a search server.

The embodiment of the invention discloses a big data statistics method and system, a computer device and a storage medium. The method provided by the embodiment of the invention comprises the following steps: reading binlog of a Mysql database, and sequentially putting log records into a message queue; The message queue is consumed through an ETL service, log records in the message queue are extracted, cleaned, converted and loaded to obtain corresponding business data, and the business data are loaded to a corresponding data warehouse; carrying out real-time analysis, aggregation, query and offline calculation on the business data through a Spark distributed query engine to obtain a corresponding statistical result; According to the technical scheme, the data is imported into the warehouse in an incremental mode, the data are cleaned and stored after being cleaned, the statistical data are calculated in advance through offline calculation, the statistical data are directly taken out when the service system is used, the statistical speed is increased, and the statistical pressure of the database is reduced.

A method for generating search queries automatically from document text or other media objects based on a minimum of user interaction (FIG. 1) For each defined type of user input action there is a pre-determined search target The search target options are selected from a configured file An algorithm determines the search term and activates the search functionality as a result of the user's search A parsing engine matches the search target URL being queried

Techniques for a fast snapshot of application data in a storage system are disclosed. One computer-implemented method includes: receiving, over an electronic communications network, a first command to create a table; creating, in a storage system, the table including at least one row and a plurality of columns, the at least one row including a special metadata row, and fields of the plurality of columns including a key, a payload, a snapshot identifier number, a delete bit, a version identifier, and an entity tag; and initializing a key of the special metadata row and a payload of the special metadata row. The key of the special metadata row is initialized to a snapshot identifier, and the payload of the special metadata row is initialized to zero, and an entity tag of the special metadata row is initialized to a random value.

The concept of partitioning is expanded with a variety of techniques. In particular, one technique involves partitioning an object at multiple levels, where at least one of the levels uses list-based partitioning. Further, a partitioning technique is provided which involves storing a data item in a default partition when the item does not map to any one of the list-based partitions for which a key value group has been defined. Techniques are also provided for efficiently splitting a partition.

In one embodiment, a computer readable medium is provided that includes a date time zone dimension table comprising a date key and a time zone key, the date key identifying a selected point in time relative to a selected temporal origin and the time zone key identifying one of a plurality of possible time zones, and at least one attribute, the at least one attribute describing time information for a selected date and time zone key pair.

The present invention provides a method and device for determining data consanguinity based on structural data. The method comprises: parsing a selection statement to obtain a source abstract syntax tree, and organizing the table information and the field information obtained by traversing the source abstract syntax tree into a source list layer by layer; obtaining the target abstract syntax treeby parsing the insertion statement, and organizing the table information and the field information obtained by traversing the target abstract syntax tree into the target list layer by layer; traversing the source manifest to obtain the source table information and traversing the target manifest to obtain the target table information to obtain the table granularity data kinship relationship; extracting the target field information for the target table from the target manifest, starting from the first layer of the source manifest, finding the source field in the source table with the same name as the target field information of the target table layer by layer, and when the source table to which the source field belongs no longer comes from the subquery, determining the corresponding source field to be the source field with blood relationship corresponding to the target field information. The scheme can parse the field-level granularity of data consanguinity based on structured data.

A method for querying user information includes: A search proxy receives a query request containing query conditions sent from a client, and forwards a message of the query request to the XDM server in which the user information is stored. The search proxy receives the query result returned from the XDM server, and subscribes to the user URI presence information from the presence server. The user URI presence information is contained in the query result. The search proxy integrates the presence information returned from the presence server with the query result, and sends an integration result to the client. Thus, a user can obtain the user information when he / she obtains the user information in XDM.

A risk management platform a steel trade financial business is a universal integrated risk management service platform which can automatically perform dynamic identification, real-time analysis, risk result processing and evaluation and quantifying the risk according to the data on the risks that are related in a steel trade financial business process based on a risk identification rule. The risk management platform comprises a risk management client frontend unit, a risk management channel gateway unit, a risk management core real-time service unit, a risk management background management service unit, a risk management offline service unit, a risk management near-line service unit and a risk management data service unit. The risk management platform and the risk management method have advantages of realizing abstract universal data model, integrating a rule engine which can be dynamically managed and changed, separating a real-time processing data according to a scene chronergy characteristic, realizing near-line model processing and offline model processing, finishing full-scene coverage of a risk management business, realizing independence between a client and a gateway architecture, reducing impact of business system change to a risk management back-end core, and flexibly decoupling a risk management logic and a business logic.

Method, article of manufacture and apparatus for playing back recorded database activity in a graphical user interface. Chronologically ordered database event information is dynamically displayed in a user interface having user-selectable graphical elements associated with predefined playback controls.

The invention provides a data fusion method and device for a knowledge graph. The system for executing the method comprises a data platform configured with a unified access interface, and the method comprises the following steps: processing data from different data sources, converting the processed data into a triple format, storing the processed data into the data platform through the unified access interface, and receiving graph data index information returned by the data platform; according to the graph data index information, dividing an entity stored in the data platform into one or moresub-partitions according to attributes; performing similarity calculation on the candidate entity pairs divided into the same sub-partition, and screening out matched entity pairs meeting a preset similarity condition; and supplementing and / or replacing the entity attribute values of the matched entity pairs to generate a unified entity representation. By means of the method, the problem that an existing data fusion technology cannot flexibly adapt to data fusion of different knowledge bases can be effectively solved.

The invention discloses a construction method of a knowledge graph library for network fault analysis and application thereof, and relates to the technical field of network communication. The method comprises: using an intelligent method to carry out data acquisition on communication network data; constructing ontology libraries in different fields, constructing a global ontology library by adopting a data fusion and mapping technology according to the ontology libraries in different fields, and finally constructing a knowledge map library with consistent semantic relationships of various datasources through entity alignment, entity linking and knowledge calculation in sequence. The constructed knowledge graph library is used for retrieving possible reasons for causing the network fault,suggestions of a fault solution are provided for a user, rapid positioning and solution of the network fault are facilitated, the fault processing efficiency is improved, and meanwhile the influence of human factors is reduced.

A system for asset tracking, comprising a universally accessible property tracking database. The database is based on an organization-property-individual model, and uses automatic close-match searching to match lost and found items. Any type of property can be reported found, registered, and reported lost, and recovered property can be returned to its owner. Embodiments of the system include on-line access that allows a user or organization to register an item, based upon the item's characteristics or an affixed label code. If the item is lost due to accident, theft, or damage, the system can be used to register the lost item and to generate reports and insurance claim information. A user who finds an item may register the item as a found item. When a match is found between a registered lost and registered found item the system may be used to return the item to the proper owner.

Systems and methods are provided for creating indices and loading key-value pairs for NoSQL databases. Attributes are created that correspond to records in a NoSQL database based on corresponding record fields. An index is created based on the attributes. A memory is loaded with attributes that correspond to a subset of the index as keys in a key-value pair and identifiers that correspond to records that correspond to the attributes as values in the key-value pair. The attributes that correspond to the subset of the index are sorted in the memory. Any duplicate attributes are identified from the sorted attributes in the memory. Any identifiers that correspond to any duplicate attributes also identify records in the NoSQL database to be evaluated as potential duplicate records.

The invention discloses an automatic construction method for a big data knowledge graph in the public security field, relates to the technical field of data mining and artificial intelligence, and comprises the following steps: firstly, establishing a standard system for the public security field, and then establishing an Entity-mapping library in the public security field; storing the main attributes of the entities into a file storage database; pushing the data to a memory storage database, carrying out automatic series connection on fragmented entities, abstracting the data into three categories of entities, relations and events after the previous preparation work is finished, and sequentially finishing automatic construction of the public security field knowledge map by virtue of machine learning and deep learning services through knowledge modeling, knowledge extraction and entity fusion; Besides, the automatic construction capability is realized, the quality control and optimization of the knowledge graph are carried out, the public security field search intention analyzer is constructed, the intelligent recommendation of the user search is promoted, and the efficiency of obtaining effective information by the user search is improved.