Abstract: The invention includes an algorithmic method for dynamically computing complex relationships among objects of an underlying functional system. The invention includes a method to algorithmically determine a set of functional locations in n-dimensional functional space of a set of elements of a functional system by electronically representing a set of data entities in a database system, the database system comprising a logical data model for structuring data sets from which functional information can be derived, using the logical data model to associate a set of characteristics with a reference point in the functional information system, selecting a functional positioning algorithm, and wherein the functional positioning algorithm executes a set of steps that takes as input a set of characteristics and returns as output a set of locations in n-dimensional functional space.

Abstract: An information processing device that displays, on a screen, cards associated with a series of respective processes performed on data and that defines a flow of the series of processes by connecting the cards by first lines, the information processing device includes processing circuitry configured to receive an operation performed by a user, perform, when an operation for connecting the cards by second lines that represent synchronization of parameters is received, a setting for allowing the parameters of the respective processes associated with the plurality of cards connected by the second lines to be synchronized, and make, when a parameter of one of the cards is changed out of the plurality of cards in which the setting for allowing the parameters to be synchronized has been performed, a same change on the parameters of the respective processes associated with the plurality of cards connected by the second lines.

Abstract: Aspects of the subject disclosure may include, for example, a method including collecting performance data associated with a communication network operating at a venue, providing the performance data for the communication network to a performance map graphical user interface, where the performance map graphical interface presents a plurality of discrete polygons and a plurality of graphical keys, and where the plurality of graphical keys are superimposed onto the plurality of polygons associated with a plurality of zones associated with the venue, detecting a first performance attribute associated with a first zone of the plurality of zones associated with the venue exceeding a threshold according to a first graphical key of the plurality of graphical keys that is superimposed onto a first discrete polygon of the plurality of discrete polygons, and triggering a notification according to the detecting the first performance exceeding the threshold. Other embodiments are disclosed.

Abstract: Systems and methods for one-click payments are disclosed. A method may include a backend for a financial institution: receiving, from a user electronic device, enrollment of a user in a payments process; generating a token comprising an identification of an API exposed to the backend; communicating the token to the user electronic device; receiving, from a content provider, enrollment of the content provider in the payments process; receiving, at the API, an identifier for the content provider, a cost for content provided by the content provider, and the user identifier; transferring the cost from the user account to the content provider account; and notifying the content provider of completion of the transfer, wherein the content provider is configured to make the content available to the user electronic device after completion of the transfer.

Abstract: In feature value extraction processing step, feature values are extracted from time-series vibroacoustic data in equipment in operation. In machine learning diagnosis step, accumulated are feature values corresponding to normal equipment-operation-state and general measurement data on equipment. Probability distribution model related to correlation between general measurement data and feature values corresponding to normal equipment-operation-state and constructed through machine learning is fed with general-measurement data and feature values extracted in feature value extraction processing step to calculate degree of anomaly based on probability distribution model.

Abstract: Implementations of the subject matter described herein relate to generating animated infographics from static infographics. A computer-implemented method comprises: extracting visual elements of a static infographic; determining, based on the visual elements, a structure of the static infographic at least indicating a layout of the visual elements in the static infographic; and applying a dynamic effect to the visual elements based on the structure of the static infographic to generate an animated infographic.

Abstract: Data visualization processes can utilize machine learning algorithms applied to visualization data structures to determine visualization parameters that most effectively provide insight into the data, and to suggest meaningful correlations for further investigation by users. In numerous embodiments, data visualization processes can automatically generate parameters that can be used to display the data in ways that will provide enhanced value. For example, dimensions can be chosen to be associated with specific visualization parameters that are easily digestible based on their importance, e.g. with higher value dimensions placed on more easily understood visualization aspects (color, coordinate, size, etc.). In a variety of embodiments, data visualization processes can automatically describe the graph using natural language by identifying regions of interest in the visualization, and generating text using natural language generation processes.

Abstract: A method and network node for flexible indication of resources in LTE-M using bitmaps are disclosed. According to one aspect, a method includes indicating to the wireless device a set of reserved resources for machine communications in compatibility with a broadband radio access technology sharing resources in a time frame and frequency band that encompasses the set of reserved resources, the indicating using a two level bitmap operating in the time-domain, a first bitmap level of the two level bitmap indicating a first set of subframes containing reserved resources, and a second bitmap level of the two level bitmap indicating reserved symbols within an indicated subframe.

Abstract: Implementations are disclosed for facilitating visual programming of machine learning state machines. In various implementations, one or more graphical user interfaces (GUIs) may be rendered on one or more displays. Each GUI may include a working canvas on which a plurality of graphical elements corresponding to at least some of a plurality of available logical routines are manipulable to define a machine learning state machine. One or more of the available logical routines may include logical operations that process data using machine learning model(s). Two or more at least partially redundant logical routines that include overlapping logical operations may be identified, and overlapping logical operations of the two or more at least partially redundant logical routines may be merged into a consolidated logical routine. At least some of the logical operations that were previously downstream from the overlapping logical operations may be logically coupled with the consolidated logical routine.

Abstract: A computing device receives a natural language input specifying search terms directed to a dataset. The device parses the input into tokens and executes queries against a search index to retrieve a plurality of labeled trend events. Each labeled trend event has a respective chart identifier. The device determines a respective composite score for each labeled trend event and individually assigns each labeled trend event to a respective group. For each group, the device sorts the respective labeled trend events within the respective group according to respective composite scores, determines a respective final score for each group, and ranks the groups according to one or more determined final scores. The device retrieves data corresponding to a first subset of line charts having the respective chart identifiers of the ranked groups, generates the first subset of line charts, and displays one or more line charts of the first subset with annotation.

Abstract: Field variable tone mapping is performed for 360 content. An image capture device includes an image sensor and a processor. The image sensor obtains a hyper-hemispherical image and the processor performs local tone mapping (LTM) on a first area of the hyper-hemispherical image and performs global tone mapping (GTM) on a second area of the hyper-hemispherical image to obtain a processed image. The processor may be configured to display, store, output, or transmit the processed image.

Abstract: A reinforcement learning based approach to the problem of query object localization, where an agent is trained to localize objects of interest specified by a small exemplary set. We learn a transferable reward signal formulated using the exemplary set by ordinal metric learning. It enables test-time policy adaptation to new environments where the reward signals are not readily available, and thus outperforms fine-tuning approaches that are limited to annotated images. In addition, the transferable reward allows repurposing of the trained agent for new tasks, such as annotation refinement, or selective localization from multiple common objects across a set of images. Experiments on corrupted MNIST dataset and CU-Birds dataset demonstrate the effectiveness of our approach.

Abstract: Disclosed herein are system, method, and device embodiments for a data bridge adapter in a data integration platform that models any application programming interface as an entity-relationship model. This technique allows an individual using an integration platform to map and transform the entity-relationship model without having to create any custom code. The user may specify target parameters as part of an ETL process, and the entity relationship model may allow appropriate data and API calls to be generated to pass the data to the specified target. By creating an entity-relationship model from any API, the technique further supports versioning, schema change resolution, compatibility detection and other features. Furthermore, data visualization software may use the entity-relationship model to allow users to explore and analyze the data represented in the entity-relationship model.

Abstract: Methods are presented herein for a reduced state machine that describes nodes and relationship dynamics representing real network elements (networking devices and software processes) in a computer/data network, and abstracted logical items. Logical states of networking features of the network elements are reflected in the graph, while configuration data is stored for completeness. A method called a “Versioner Algorithm” is provided to record the temporal history of a node and its state over time within the node's metadata itself, while recorded relationships represent logical relations between observed nodes. A method is also provided to time-travel back to observe a historical view of the network. Further still, a method is provided to a difference of two historical topologies and return that data in human-readable or machine consumable form.

Abstract: Disclosed herein is a method of measuring demand in a market. The method gathers data representing events defining relationships between producers and institutions. Each event includes information defining at least a time of event and a type of event. The method determines a trajectory for each producer. Based on the trajectory for each producer, the method generates a dynamic graph specifying the relationships between producers and institutions for a hyperparameter time period. From the dynamic graph, the method generates a projection graph specifying only the relationships between institutions. The method determines a trajectory score for each producer and a performance score for each institution. The trajectory score for a producer is a summation of a rating of each institution that has a relationship with that producer. The performance score for an institution is a summation of a delta trajectory score of each producer that has a relationship with that institution.

Abstract: Methods, systems, and computer program products for extracting query-related temporal information from unstructured text documents are provided herein. A computer-implemented method includes obtaining at least one user query comprising one or more temporal components; converting at least a portion of the at least one user query into one or more logic form representations; mapping at least a portion of the one or more logic form representations to one or more portions of at least one source of unstructured text data; extracting temporal information, specific to the at least one user query, from one or more portions of the at least one source of unstructured text data based on the mapping; generating at least one response to the at least one user query based on the extracted temporal information; and performing one or more automated actions based on the at least one generated response.

Abstract: Medical services are offered by various facilities near a patient's residence. The number of facility options continues to grow and the patients can now receive various different health care services. One example method of operation provides receiving updated patient information at a patient profile server, identifying a patient medical profile stored in memory associated with the updated patient information, and updating a patient status based on the updated patient information received, and modifying a patient schedule associated with the at least one patient status and storing the patient schedule in the patient medical profile.

Abstract: Systems and methods for visualizing and manipulating graph databases in accordance embodiments of the invention are disclosed. In one embodiment of the invention, a graph database manipulation device including a processor and a memory configured to store a graph database manipulation application, wherein the graph database manipulation application configures the processor to obtain a graph database, wherein the graph database includes a set of nodes and a set of edges, identify a region of interest within a graph described by the graph database, construct a feature space from the region of interest, and extract explanatory variables from the feature space.

Abstract: Provided are systems, methods, and computer program products for representing a plurality of events in an interactive graphical user interface. The system includes at least one processor programmed or configured to parse at least one textual document to identify a plurality of events related to at least one entity, determine a temporal parameter for each event of the plurality of events based on the at least one textual document, order the plurality of events into a sequence based on the temporal parameter for each event, and generate an interactive graphical user interface comprising a visual representation of the plurality of events on a user device based on the sequence, the visual representation of the plurality of events linked to a textual document of the at least one textual document.

Abstract: Audio translation system includes a feature extractor and a style transfer machine learning model. The feature extractor generates for each of a plurality of source voice files one or more source voice parameters encoded as a collection of source feature vectors, and generates for each of a plurality of target voice files one or more target voice parameters encoded as a collection of target feature vectors. The style transfer machine learning model trained on the collection of source feature vectors for the plurality of source voice files and the collection of target feature vectors for the plurality of target voice files to generate a style transformed feature vector.

Abstract: A method for evaluating environment and surroundings of a pedestrian passageway, used in an electronic device, obtains a position information of a target area, and obtains a streetscape image corresponding to the position information of the area. The method further inputs the streetscape image into a trained convolutional neural network, makes the trained convolutional neural network carry out a convolution calculation of the streetscape image to generate a feature vector for classifying a number of target objects in the streetscape image, and outputs the feature vector. The feature vector is input into a full convolution neural network to apply a certain color to a number of pixels belonging to a same target object, and outputs the streetscape image with colored target objects.

Abstract: The present invention generally relates to the field of automated functional testing, and, more particularly, to a method and system for validation of calculation code against calculation specification. Currently the validation is done manually which is time consuming and effort intensive. Embodiments of present disclosure provide an automated method of validation by generating a schema from the calculation specification, retrieving data based on the schema, executing the intermediate calculations, and comparing the result with the output from the calculation code. The method requires minimal manual input and is a fast, simple, resilient and low-code/no-code technique that can be extended to support any type of calculation code and calculation specifications with minimal or no change.

Abstract: A computer system can perform a semi-supervised machine learning processes to cluster a plurality of entities within a population based on their features and associated labels. The computer system can generate visualization data representing the clusters of entities and associated labels for displaying on a user interface. A user can review the clustering of entities and use the user interface to add or modify the labels associated with a particular entity or set of entities. The computer system can use the user's feedback to update the labels and then re-determine the clustering of entities using the semi-supervised machine learning process with the updated labels as input. As such, the computer system can use the user's feedback to improve the accuracy of the machine learning model without requiring a larger amount of labeled input data.

Abstract: Methods and systems described herein may retrieve a data lineage associated with a first computing system comprising a plurality of services and data elements. The data lineage may indicate a plurality of interrelationships between the plurality of services and data elements. Based on the data lineage, a visualization of the first computing system may be generated. Based on the one or more interrelationships between a first data element and the plurality of services and data elements, one or more services and data elements affected by the change to the first data element may be identified. Based on the one or more services and data elements affected by the change to the first data element, the visualization of the first computing system to indicate the impact to the first computing system.

Abstract: A user interface (UI), data structures and algorithms facilitate programming, analyzing, debugging, embedding, and/or modifying problems that are embedded or to be embedded on an analog processor (e.g., quantum processor), increasing computational efficiency and/or accuracy of problem solutions. The UI provides graph representations (e.g., source graph, target graph and correspondence therebetween) with nodes and edges which may map to hardware components (e.g., qubits, couplers) of the analog processor. Characteristics of solutions are advantageously represented spatially associated (e.g., overlaid or nested) with characteristics of a problem. Characteristics (e.g., bias state) may be represented by color, pattern, values, icons. Issues (e.g., broken chains) may be detected and alerts provided.

Abstract: Some embodiments relate to resource usage tracking. A resource monitor may monitor resources of a network. A database may record resource usage. A client program may provide resource in a graphical display at a variety of specificity levels. A user may select portions of the graphical display to adjust information presented.

Abstract: Provided is a data management system including an environment data acquisition unit configured to acquire, from an environment sensor, environment data obtained by measuring a production environment where a product is produced from a raw material, a sensor selection unit configured to select a specific sensor from among measurement sensors, each of which is configured to measure a production target serving as a target of the production, according to a relevance with respect to the environment sensor, and a parameter setting unit configured to set a measurement parameter in the specific sensor based on the environment data.

Abstract: A test and measurement instrument has a user interface configured to allow a user to provide one or more user inputs, a display to display results to the user, a memory, one or more processors configured to execute code to cause the one or more processors to receive a waveform array containing waveforms resulting from sweeping one or more parameters from a set of parameters, recover a clock signal from the waveform array, generate a waveform image for each waveform, render the waveform images into video frames to produce an image array of the video frames, select at least some of the video frames to form a video sequence, and play the video sequence on a display.

Abstract: A method for identifying aircraft faults, comprising: receiving aircraft health dataset comprising plurality of maintenance identifiers which each identify aircraft fault; storing diagnostics database storing plurality of part identifiers which each identify part of aircraft which is possible cause of generation of at least one maintenance identifier; generating graph of plurality of maintenance identifiers and plurality of edges in which maintenance identifiers are connected to one another by edge if maintenance identifiers are identified by common part identifier in diagnostics database; extracting clique from graph, clique comprising plurality of maintenance identifiers and respective plurality of edges of graph; determining intersection between at least two edges of clique; identifying candidate part identifier which is common to intersecting edges of clique, candidate part identifier identifying part of aircraft which is possible cause of generation of at least some of maintenance identifiers of clique;

Abstract: A method includes displaying, via a graphical user interface (GUI), a first graphical representation of a dataset on a display screen in communication with the data processing hardware, the first graphical representation representing a statistical summary of the dataset. The method includes receiving, via the GUI, an indication of a user interaction. In response to the received indication of the user interaction, the method includes displaying, via the GUI, a second graphical representation of the dataset on the display screen, the second graphical representation representing a plurality of statistical summaries of the dataset, each respective statistical summary of the plurality of statistical summaries computed for a respective time period of a plurality of time periods.

Abstract: Methods and systems disclosed herein relate generally to generating and using graph models to perform entity-specific mappings to investigatory events. More specifically, data-reliability metrics are used to selectively use proxy nodes in graph-model trajectories during generation of the mappings.

Abstract: Provided are a graph generation method and apparatus, a device, and a storage medium. The graph generation method comprises: parsing target logical information to obtain a plurality of logical elements; converting the plurality of logical elements into a syntax tree according to logic of the target logical information, where the syntax tree comprises a plurality of layers of tree nodes, and tree nodes between layers have a dependency relationship; converting the plurality of layers of tree nodes into a plurality of graph nodes; and connecting the plurality of graph nodes according to the dependency relationship to obtain a logical graph corresponding to the target logical information to allow a user to perform special effect editing based on the logic.

Abstract: An information processing apparatus includes an extraction unit, a determination unit, a display control unit, and a display unit. The extraction unit is configured to extract, by predetermined pattern matching, candidate peaks in a certain arbitrary period of time from among at least one or more pieces of waveform data. The determination unit is configured to determine, from among the candidate peaks of the waveform data, a single peak based on a score related to the pattern matching. The display control unit is configured to output display information for displaying a position of the peak. The display unit is configured to display the display information.

Abstract: A method for obtaining a plurality of entangled qubits represented by a lattice structure that includes a plurality of contiguous lattice cells. A respective edge of a respective lattice cell corresponds to one or more edge qubits, and a respective face of the respective lattice cell corresponding to one or more face qubits. Each face qubit is entangled with adjacent edge qubits. A first face of the respective lattice cell corresponds to two or more face qubits, and/or a first edge corresponds to two or more edge qubits. A device for obtaining the plurality of entangled qubits represented by the above-described lattice structure is also described.

Abstract: A method includes obtaining a first qubit entangled with second, third, fourth, fifth, sixth, and seventh qubits and one or more of: an eighth qubit entangled with the second qubit and the seventh qubit; a ninth qubit entangled with the third qubit and the fourth qubit; a tenth qubit entangled with the fifth qubit and the sixth qubit; an eleventh qubit entangled with the eighth qubit and the ninth qubit; a twelfth qubit entangled with the eighth qubit and the ninth qubit; a thirteenth qubit entangled with the eighth qubit and the tenth qubit; a fourteenth qubit entangled with the eighth qubit and the tenth qubit; a fifteenth qubit entangled with the ninth qubit and the tenth qubit; and a sixteenth qubit entangled with the ninth qubit and the tenth qubit. Also disclosed are additional methods of obtaining a plurality of entangled qubits.

Abstract: Techniques are described for using computing devices to perform automated operations to generate mapping information via analysis of visual data of photos of a defined area, and for using the generated mapping information in further automated manners, including to display the generated mapping information via various types of visualizations corresponding graphical user interfaces. In some situations, the defined area includes an interior of a multi-room building, and the generated information includes at least a partial floor plan and/or other modeled representation of the building—in addition, the generating may be further performed without having measured depth information about distances from the photos' acquisition locations to walls or other objects in the surrounding building. The generated floor plan and/or other mapping-related information may be further used in various manners, including for controlling navigation of devices (e.g., autonomous vehicles), etc.

Abstract: Incremental proximity graph maintenance (IPGM) systems and methods for online ANN search support both online vertex deletion and insertion of vertices on proximity graphs. In various embodiments, updating a proximity graph comprises receiving a workload that represents a set of vertices in the proximity graph, each vertex being associated with a type of operation such as a query, insertion, or deletion. For a query or an insertion, a search may be executed on the graph to obtain a set of top-K vertices for each vertex. In the case of a deletion, a vertex may be deleted from the proximity graph, and a local or global reconnection update method may be used to reconstruct at least a portion of the proximity graph.

Abstract: Techniques for generating a dataflow graph include generating a first dataflow graph with a plurality of first nodes representing first computer operations in processing data, with at least one of the first computer operations being a declarative operation that specifies one or more characteristics of one or more results of processing of data, and transforming the first dataflow graph into a second dataflow graph for processing data in accordance with the first computer operations, the second dataflow graph including a plurality of second nodes representing second computer operations, with at least one of the second nodes representing one or more imperative operations that implement the logic specified by the declarative operation, where the one or more imperative operations are unrepresented by the first nodes in the first dataflow graph.

Abstract: A command map GUI that illustrates command usage patterns of a first entity and/or a comparison between the first entity and a second entity. A server receives and stores command usage data from a plurality of clients, each client executing a software application that enables a set of commands. A client displays the GUI based on command usage data received from the server. The GUI displays a circle chart comprising a plurality of segments representing various command categories, each segment including a wedge that represents the amount of usage of the corresponding command category. The GUI also displays a plurality of data points, each data point representing a command, wherein the distance from the center of the circle chart represents the amount of usage of the corresponding command. The GUI may display a certification and/or an unused command recommended for a user based on command usage patterns of the user.

Abstract: Examples described herein provide a computer-implemented method that includes receiving a list of objects with anomaly detection results associated therewith. The method further includes generating a resource graph, wherein the resource graph comprises at least two nodes, each of the at least two nodes being associated with one of the objects. The method further includes determining a relationship between the at least two nodes. The method further includes assigning an anomaly score to at least one of the objects. The method further includes calculating for at least one of the nodes, an overall anomaly score for the at least one of the nodes based on the anomaly score for the at least one of the objects and based on the anomaly score for another node related to the at least one of the nodes.

Abstract: A data visualization application receives user actions to (i) associate a first data field with a first shelf and (ii) associate second and third data fields with a second shelf. The method receives an additional user action to specify a nested sort according to data for the first and third data fields. The method generates and displays a data visualization in accordance with the received actions, including: (i) partitioning retrieved data into groups of tuples, each tuple including data for the data fields, and each group of tuples corresponding to a distinct value of the second data field, (ii) forming panes, each pane corresponding to a respective group of tuples, and (iii) within each pane, displaying data marks, each data mark corresponding to a respective tuple.

Abstract: A command map GUI that illustrates command usage patterns of a first entity and/or a comparison between the first entity and a second entity. A server receives and stores command usage data from a plurality of clients, each client executing a software application that enables a set of commands. A client displays the GUI based on command usage data received from the server. The GUI displays a circle chart comprising a plurality of segments representing various command categories, each segment including a wedge that represents the amount of usage of the corresponding command category. The GUI also displays a plurality of data points, each data point representing a command, wherein the distance from the center of the circle chart represents the amount of usage of the corresponding command. The GUI may display a certification and/or an unused command recommended for a user based on command usage patterns of the user.

Abstract: In a method for performing visual programming, applicable to a terminal, a target role in a visual layout region of a target interface is determined. An event building block set is displayed in an event building block triggering region of the target interface. In response to detecting a selection operation on a first event building block in the event building block set, the first event building block corresponding to the target role is added to a visual programming region of the target interface. In response to detecting a selection operation on a first function building block in at least one function building block corresponding to the first event building block displayed in a function building block triggering region of the target interface, the first function building block corresponding to the target role is added to the visual programming region.

Abstract: An information processing method includes acquiring a time chart indicating operation lines corresponding to operations of a plurality of control objects and interlocking modes between the operations, and generating a sequence program corresponding to the operations of the plurality of control objects based on the time chart.

Abstract: The present disclosure relates to aggregating and sharing wellness data. The wellness data can be received by a user device from any number of sensors external or internal to the user device, from a user manually entering the wellness data, or from other users or entities. The user device can securely store the wellness data on the user device and transmit the wellness data to be stored on a remote database. A user of the device can share some or all of the wellness data with friends, relatives, caregivers, healthcare providers, or the like. The user device can further display a user's wellness data in an aggregated view of different types of wellness data. Wellness data of other users can also be viewed if authorizations from those users have been received.

Abstract: A computer-implemented method, system and computer program product for optimizing a flow of data within transform, load (ETL) data processing pipelines. Database columns from a source database that are to be transformed as well as not transformed in the data processing stages of a processing segment of an ETL data processing pipeline are identified. Those database columns that are to be transformed are grouped into a processing schema. Transformations are then performed on the database columns of the processing schema. Those database columns that are not to be transformed are grouped into a non-processing schema. A large object data type (LOB) is then created to reference the non-processing schema. An identifier is created and inserted in the data processing stages to identify the LOB in replace of the database columns that are not to be transformed thereby avoiding the copying of the database columns that are not to be transformed.

Abstract: A computer-implemented method and system for representing and solving at least one of an algebraic problem, a proportions problem, and a linear growth problem. A graphical user interface has a symbolic section and a pictorial section. The symbolic section includes a symbolic representation of the mathematical problem and the pictorial section includes a pictorial representation of the mathematical problem. An input is received from a user. The input is associated with one of the symbolic section and the pictorial section. In response to the input, the other of the symbolic section and the pictorial section is modified such that the symbolic section and the pictorial section track each other. The user solves the mathematical problem by interacting with at least one of the symbolic section and the pictorial section.

Abstract: Disclosed are a project management system having a capture review transmission function for implementing an effective online review system and a method thereof. According to an embodiment of the inventive concept, a project management system is project management system for managing a project for producing content including a plurality of pieces of sub-content by division of labor and collaboration of a plurality of task managers and includes a project management unit that communicates with terminals of the plurality of task managers to manage the project. The project management unit includes a capture review processing unit that generates capture review data for sub-content worked by a task manager and transmits the capture review data to a terminal of the task manager.

Abstract: An example method disclosed herein includes receiving a request for content items relevant to a concept within a first knowledge space, where the first knowledge space includes a plurality of concept groupings of a plurality of nodes representing a plurality of content items. The method further includes identifying a plurality of content items in a second knowledge space relevant to the concept and receiving a selection of one or more of the content items for addition to the first knowledge space. The method further includes adding the selected content items to the first knowledge space.

Abstract: Described are platforms, systems, and methods to combine counts of activity correlations over time with a link salience method to identify collections of digital devices in an automated environment to identify sub-systems comprised of portions of the overall environment. The platforms, systems, and methods detect activity in a plurality of data sources associated with an automation environment; determine correlation in the detected activity between two or more of the data sources; store records of determined correlation in the detected activity over time in a data storage system; apply a link salience algorithm to the stored records of determined correlation in the detected activity to determine a salience property; and identify one or more subsystems in the automation environment based on the salience property.