G06F16/8358

Computer implemented method for creating database structures without knowledge of functioning of relational database system
11687509 · 2023-06-27 · ·

Computer implemented methods for storing ad hoc relations between previously unrelated database objects assigned to different database structures using an electronic computing device are presented, the methods including: causing the electronic computing device to define at least three database structures: structure A, structure B and structure C, where each of the at least three database structures each includes a number of objects, where there exists at least one relation between objects of structure A and objects of structure B, and where there exists at least one relation between objects of structure B and objects of structure C; filtering data of structure A; accessing structure B using a first selected relation between structure A and structure B; storing information about filtering of structure A and information on a first selected path between structure A and structure B; filtering results obtained from structure B.

Sharing information between nexuses that use different classification schemes for information access control

Systems and methods for sharing information between distributed computer systems connected to one or more data networks. In particular, a replication system implements methodologies for sharing database information between computer systems where the databases use different classification schemes for information access control.

Computer implemented method for creating database structures without knowledge on functioning of relational database system
09747312 · 2017-08-29 · ·

Computer implemented methods for storing ad hoc relations between previously unrelated database objects assigned to different database structures using an electronic computing device are presented, the methods including: causing the electronic computing device to define at least three database structures: structure A, structure B and structure C, where each of the at least three database structures each includes a number of objects, where there exists at least one relation between objects of structure A and objects of structure B, and where there exists at least one relation between objects of structure B and objects of structure C; filtering data of structure A; accessing structure B using a first selected relation between structure A and structure B; storing information about filtering of structure A and information on a first selected path between structure A and structure B; filtering results obtained from structure B.

METHODS AND SYSTEMS FOR ANALYZING CUSTOMER CARE DATA

A method and a system are provided to derive one or more observations between a plurality of parameters in customer care data. The method includes receiving customer care data from a plurality of data sources. Thereafter the customer care data is transformed to create a plurality of data structures utilizing one or more semantic web protocols. The plurality of data structures represents a relationship between one or more parameters in the customer care data. Thereafter a subset of data structures is extracted from the plurality of data structures based on a query received via a query interface. One or more graph analytics techniques are applied on the subset of data structures to determine one or more observations associated with the subset of data structures. Thereafter the one or more observations pertaining to the subset of data structures are displayed on a display screen.

Retrieval and conversion of query results from multiple query services

A system can receive an identifier for a query used by a query service of one or more query services and an identifier for the query used by an issuing computer system. The query service and the computer system that issued the query can use different schemas for query results. A mapping can be established that maps elements of one schema to the other schema. This mapping, and a mapping of the query identifiers, can be used to convert query results to a format useable by the computing system that issued the query. By converting query results from multiple query services, which may have different formats, to a common format of the issuing computing system, the use of multiple query services is facilitated.

Methods and systems for performing change management at login
11720953 · 2023-08-08 · ·

A system and related method for change management at login. The method includes constructing an administratively prescribed target data store as a function of received administrative input prescribing a target feature and target feature-state, and related messages to push to a user upon occurrences of target feature mismatches and matches. Login information, including a username identifier, service provider identifier, and current use time-stamp are received for a user. A historical data store is queried to obtain a user status that associates the username identifier and the service provider identifier with a previously used feature, feature-state and a previous use time-stamp. The target data store is queried for the service provider. Determinations are made as to whether previous feature use matches target feature use. Messages are displayed responsive thereto.

METHODS AND SYSTEMS FOR PERFORMING CHANGE MANAGEMENT AT LOGIN
20220012797 · 2022-01-13 · ·

A system and related method for change management at login. The method includes constructing an administratively prescribed target data store as a function of received administrative input prescribing a target feature and target feature-state, and related messages to push to a user upon occurrences of target feature mismatches and matches. Login information, including a username identifier, service provider identifier, and current use time-stamp are received for a user. A historical data store is queried to obtain a user status that associates the username identifier and the service provider identifier with a previously used feature, feature-state and a previous use time-stamp. The target data store is queried for the service provider. Determinations are made as to whether previous feature use matches target feature use. Messages are displayed responsive thereto.

Data layer architecture, open data layer module and translation layer

A computing network data layer architecture or system includes an open data layer module comprising a translation layer. Translation flags are within the translation layer and each flag is associated with a database language of an underlying database that can be coupled architecture or system. The open data layer module is disposed at the lowermost layer of the architecture directly above the underlying backend database. The open data layer module allows for a system to replace or modify its backend databases without affecting the higher level visualization framework or user interface such that a user of the system is unaware which database is utilized or after one database has been replaced or swapped for another even though the databases may be disparate hand have different database language requirements.

System for accessing a relational database using semantic queries

The invention is a system for integrating data sets organized in one organization type with data sets organized in a second organization type so that data queries submitted to be processed in the manner of the first organization type can be translated into queries usable by the data set in the second data organization type and the results returned to satisfy the first query.

Systems and methods for analysis of data at disparate data sources

Embodiments are described for a system and method to analyze data at a plurality of data sources. A data analytic workflow may be received. The data analytic workflow may include at least one operation to be performed on a plurality of data sets stored at a plurality of data sources. Instructions may be created based on the operation to be performed and a type of platform that operates the data sources. Furthermore, the instructions may be transmitted to the data sources such that the data sources may execute the operations on the data sets stored at the data sources.