Abstract: System and methods of ontology model development are disclosed. An example system and method may comprise, defining, an ontological model, generating, an ontology library based on the ontological model, deploying, the ontology library to an IoT system, generating, an ontology instance based on the ontology library deployed to the IoT system, modifying, an IoT application based on the ontology instance, and managing the IoT system utilizing the IoT application.

Abstract: Methods and systems are disclosed for a sequential federated query for information in a residential, commercial, and/or distributed system.

Abstract: Methods and systems are provided for searching and/or acting on information in a distributed data processing system. A method of processing a semantic rules engine may comprise receiving a rule data set, identifying a set of connected elements based on the rule data set, evaluating conditions related to the set of connected elements and the rule data set, determining a command set based on the evaluated conditions of the set of connected elements, and executing the command set.

Abstract: Methods and systems are provided for searching information in a distributed data processing system. A system for processing a semantic search query where the system may include a memory and a processor coupled to the memory being configured to, receive a structured search query, process the structured search query to deconstruct into query elements, identify a set of connected elements that define a data source associated with the received structured search query based on a processed query element, process the query elements to determine one or more command data element types associated with the received structured search query, and process data associated with the defined data source according to a command data element type to develop a semantic search query resultant data set.

Abstract: Methods and systems are disclosed for a sequential federated query for information in a residential, commercial, and/or distributed system.

Abstract: Methods and systems are provided for searching and/or acting on information in a distributed data processing system. A method of processing a semantic rules engine may comprise receiving a rule data set, identifying a set of connected elements based on the rule data set, evaluating conditions related to the set of connected elements and the rule data set, determining a command set based on the evaluated conditions of the set of connected elements, and executing the command set.

Abstract: Methods and systems are provided for searching time series information in a distributed data processing system. A method of processing a semantic search query comprises receiving a structured search query, processing the structured search query to deconstruct into query elements, identifying a set of connected elements based on the query elements, processing a time series data structure of the identified set of connected elements to determine a command data element, utilizing the command data element to process the time series data structure of the identified set of connected elements, annotating the time series data structure of each of the identified set of connected elements to form a queried data set, and providing the queried data set.

Abstract: Methods and systems are disclosed for receiving a sequential federated query; deconstructing the sequential federated query into query elements; identifying a Transactional-Unstructured Data Source (TUDS), a Contextual-Characteristic Data Source (CCDS), and a data organization parameter based on the query elements; generating a TUDS result data set from the TUDS based on the parameter; processing the TUDS result data set and the parameter to develop a CCDS query; generating a CCDS result data set from the CCDS based on the developed CCDS query and the parameter; generating a final sequential federated query data set based on the CCDS result data set and the parameters; processing a formatted sequential federated query data set based on the processing of the final sequential federated query data set and the parameter; and providing the formatted sequential federated query data set to a management system for action.

Abstract: Methods and systems are disclosed for a sequential federated query for information in a residential, commercial, and/or distributed system.

Abstract: Methods and systems are disclosed for a sequential federated query for information in a residential, commercial, and/or distributed system.

Abstract: Embodiments provide techniques for dynamically linking device data models and asset data models. A first data model link between a first one or more asset data model components of an asset data model and a first one or more device data model components of a device data model is dynamically updated. The device data model is processed to determine normalized data relationship paths utilized by an inference engine to populate a device element data set. Embodiments execute an asset data model query against the asset data model comprising analyzing asset data model component metrics by querying the device element data set, based on the updated first data model link, and generate an asset data model descriptive analytics determination output, based on the execution of the asset data model query.

Abstract: Methods and systems are provided for searching information in a distributed data processing system. A system for processing a semantic search query where the system may include a memory and a processor coupled to the memory being configured to, receive a structured search query, process the structured search query to deconstruct into query elements, identify a set of connected elements that define a data source associated with the received structured search query based on a processed query element, process the query elements to determine one or more command data element types associated with the received structured search query, and process data associated with the defined data source according to a command data element type to develop a semantic search query resultant data set.

Abstract: Methods and systems are disclosed for receiving a sequential federated query; deconstructing the sequential federated query into query elements; identifying a Transactional-Unstructured Data Source (TUDS), a Contextual-Characteristic Data Source (CCDS), and a data organization parameter based on the query elements; generating a TUDS result data set from the TUDS based on the parameter; processing the TUDS result data set and the parameter to develop a CCDS query; generating a CCDS result data set from the CCDS based on the developed CCDS query and the parameter; generating a final sequential federated query data set based on the CCDS result data set and the parameters; processing a formatted sequential federated query data set based on the processing of the final sequential federated query data set and the parameter; and providing the formatted sequential federated query data set to a management system for action.

Abstract: Methods and systems are provided for searching information in a distributed data processing system. A system for processing a semantic search query where the system may include a memory and a processor coupled to the memory being configured to, receive a structured search query, process the structured search query to deconstruct into query elements, identify a set of connected elements that define a data source associated with the received structured search query based on a processed query element, process the query elements to determine one or more command data element types associated with the received structured search query, and process data associated with the defined data source according to a command data element type to develop a semantic search query resultant data set.

Abstract: System and methods of ontology model development are disclosed. An example system and method may comprise, defining, an ontological model, generating, an ontology library based on the ontological model, deploying, the ontology library to an IoT system, generating, an ontology instance based on the ontology library deployed to the IoT system, modifying, an IoT application based on the ontology instance, and managing the IoT system utilizing the IoT application.

Abstract: Systems and methods for a hybrid connected device actuation system are provided. A method for use with a hybrid connected device actuation system may comprise, processing a hybrid actuation query that may include semantic query and rules data, determining at least one actuatable connected device associated with a control system based on the processed hybrid actuation query data and an ontological data associated with the control system, determining an actuatable variable associated with the at least one determined connected device based on the rules data associated with the hybrid actuation query, and executing a change in an operational state of the actuatable variable associated with the at least one determined connected device in the control system.

Abstract: Methods and systems are disclosed for receiving a sequential federated query; deconstructing the sequential federated query into query elements; identifying a Transactional-Unstructured Data Source (TUDS), a Contextual-Characteristic Data Source (CCDS), and a data organization parameter based on the query elements; generating a TUDS result data set from the TUDS based on the parameter; processing the TUDS result data set and the parameter to develop a CCDS query; generating a CCDS result data set from the CCDS based on the developed CCDS query and the parameter; generating a final sequential federated query data set based on the CCDS result data set and the parameters; processing a formatted sequential federated query data set based on the processing of the final sequential federated query data set and the parameter; and providing the formatted sequential federated query data set to a management system for action.

Abstract: Methods and systems are provided for searching time series information in a distributed data processing system. A method of processing a semantic search query comprises receiving a structured search query, processing the structured search query to deconstruct into query elements, identifying a set of connected elements based on the query elements, processing a time series data structure of the identified set of connected elements to determine a command data element, utilizing the command data element to process the time series data structure of the identified set of connected elements, annotating the time series data structure of each of the identified set of connected elements to form a queried data set, and providing the queried data set.

Abstract: Methods and systems are provided for searching information in a distributed data processing system. A system for processing a semantic search query where the system may include a memory and a processor coupled to the memory being configured to, receive a structured search query, process the structured search query to deconstruct into query elements, identify a set of connected elements that define a data source associated with the received structured search query based on a processed query element, process the query elements to determine one or more command data element types associated with the received structured search query, and process data associated with the defined data source according to a command data element type to develop a semantic search query resultant data set.

Abstract: Methods and systems are provided for searching and/or acting on information in a distributed data processing system. A method of processing a semantic rules engine may comprise receiving a rule data set, identifying a set of connected elements based on the rule data set, evaluating conditions related to the set of connected elements and the rule data set, determining a command set based on the evaluated conditions of the set of connected elements, and executing the command set.