Abstract: A method for edge profiling within a data graph measures the impact that a particular type of edge has on a data graph. A list of all edges contained within a single connected component within the graph is generated in order to search for bridges across connected subcomponents. The process is implemented as two MapReduce jobs on separate compute clusters. The first job is the edge profile job, which is implemented as a Map-only job. The second job reads the output of the first, and builds multiple in-memory data structures representing each connected component within the data graph. After the graph is created, it is traversed to find bridges.

Abstract: An information processing apparatus includes an acquisition unit configured to acquire data with a first schema and data with a second schema, the data with the first schema including case-insensitive first identification information in identification information for management of data, the data with the second schema including the first identification information corresponding to the identification information and case-sensitive second identification information in the identification information, and a management unit configured to manage the data with the first schema and the data with the second schema in a retrievable manner.

Abstract: Technology is disclosed for selecting at least one people highlight, with respect to a person of interest, to be shown on one or more user devices. The user device is monitored to determine a user interest in a person of interest. A set of possible people highlights, with respect to the person of interest is determined. A determination is made as to whether any of the possible people highlights should be suppressed and not presented to the user on the user device. Any people highlights that were determined to be people highlights that should be suppressed and not presented are removed to create a remaining set of possible people highlights. At least one of the remaining set of possible people highlights are presented on the user device.

Abstract: A document retrieval system retrieving a document with the concept of the document taken into account is provided. The system includes a processing portion and the processing portion creates a retrieval graph from a retrieval composition. The retrieval graph includes first to m-th retrieval local graphs (m is an integer of greater than or equal to 1), and the retrieval local graphs are each constituted by two nodes and one edge. The processing portion performs retrieval of first to m-th sentences on a reference document. The i-th sentence (i is an integer of greater than or equal to 1 and less than or equal to m) includes one of the two nodes in the i-th retrieval local graph or a related term or a hyponym of the one of the two nodes; the other of the two nodes in the i-th retrieval local graph or a related term or a hyponym of the other of the two nodes; and the edge in the i-th retrieval local graph or a related term or a hyponym of the edge.

Abstract: The disclosure relates generally to a method, device, and system for creating a searchable data store with an infinite retention period for streaming documents. In an embodiment, a method of storing data includes receiving an incoming stream of time-series data; storing the time-series data of the incoming data stream in a first segment; and closing the first segment in response to a resource consumption limit of the first segment being reached.

Abstract: The present disclosure provides a system and a method of creating a data lake configured to ingest data from heterogeneous network equipment and provide access to a plurality of applications using any kind of public cloud. In one general aspect, a method to create a data lake may include installing a plurality of agents by an end-user may include a multivendor environment. The method may also include adding a plurality of data sources to be monitored to a collector module, where the plurality of data sources further may include of one or more devices and endpoints. The method may furthermore include establishing a secure connection between the collector module and the plurality of data sources. The method may in addition include collecting, by the collector module, input data from one or more organic agents and one or more vendor specific agents to create collected data.

Abstract: A media file processing method includes: recognizing content features of a target media file, wherein the content features include an image feature and/or a sound feature; determining a target aggregation theme of the target media file according to the recognized content features of the target media file; determining the target media file as media files under the target aggregation theme; and synthesizing the media files under the target aggregation theme in response to a video clip instruction with respect to the target aggregation theme, to obtain a target video corresponding to the target aggregation theme.

Abstract: A software platform includes a frontend and a backend application instance. A user can operate the frontend to modify a data object stored in a database of the backend application instance. The data object may be associated with a higher-order object, referred to as an entity of the software platform. One or more data consumers (e.g., search engine indexing services) may require as input a full computed state of platform-level objects such as entities. The software platform defers computation of entities until necessary by inserting work items into a work item queue that reference entities in need of full state computation. Worker nodes wait specified deferral periods before computing full entity states and transmitting the full computed states to the one or more data consumers, thereby significantly reducing redundant computation of full entity states.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to identify media. An example method includes: in response to a query, generating an adjusted sample media fingerprint by applying an adjustment to a sample media fingerprint; comparing the adjusted sample media fingerprint to a reference media fingerprint; and in response to the adjusted sample media fingerprint matching the reference media fingerprint, transmitting information associated with the reference media fingerprint and the adjustment.

Abstract: The problem of ever-increasing huge volume of unstructured data, mainly documents, and within that the scanned documents, needs to have a solution to expedite the overall turnaround time in document centric business processing. Majority of these documents often do not strictly follow a specific format or a template, and creating a generic OCR solution, which would work on any kind of document format is needed to enhance overall efficacy of processes. Embodiments of the present disclosure provide system and method that extract tabular and text information from scanned documents. More specifically, method and system are provided to extract user filled tabular data, textual information, selected radio-buttons and checked checkboxes, stamps, barcodes from scanned copies of any filled form with or without any template being pre-defined or without any prior knowledge about format of input forms. The system converts extracted information in a structured form for further for analytics and reporting.

Abstract: Methods and systems for managing persistent volumes include mounting a distributed filesystem, located outside the processing node, to a local mount point on the processing node. Access to the local mount point is given to a container on the processing node.

Abstract: Various methods, apparatuses/systems, and media for data migration readiness of a target data source are disclosed. A processor invokes, in response to triggering a process, an application programming interface (API) to call corresponding source application or microservice hosted on a source database; updates, by the source application or microservice, the source database to reflect the changes made to one or more fields data of user profile; generates a mapping identifier (ID) in response to updating the source database; stores the mapping ID onto a mapping database in a predefined format; invokes another API call to obtain source table field details of the updated source database and the mapping ID that maps source column of the source table to a corresponding target column of a target table of a target database; and automatically updates the target database to match the updated data of the source database based on the mapping ID.

Abstract: In some embodiments, a computer system may obtain resource data from a data source of an entity, where the resource data corresponds to resources of the entity, and then determine that the resource data does not comply with one or more rules. In response to the determining that the resource data does not comply with the rule(s), the computer system may send a notification to an electronic destination associated with the entity, where the notification indicates that the resource data does not comply with the rule(s). Next, the computer system may obtain a modified version of the resource data from the data source, determine that the modified version of the resource data complies with the rule(s), and, in response to the determining that the modified version of the resource data complies with the rule(s), store the modified version of the resource data in a data registry.

Abstract: Systems, methods, and devices for tracking a series of changes to database data are disclosed. A method includes executing a transaction to modify data in a micro-partition of a table of a database by generating a new micro-partition that embodies the transaction. The method includes associating transaction data with the new micro-partition, wherein the transaction data comprises a timestamp when the transaction was fully executed, and further includes associating modification data with the new micro-partition that comprises an indication of one or more rows of the table that were modified by the transaction. The method includes joining the transaction data with the modification data to generate joined data and querying the joined data to determine a listing of intermediate modifications made to the table between a first timestamp and a second timestamp.

Abstract: A computer-implemented method, a computer program product, and a computer system for ranking explanatory variables in multivariate analysis. A computer system extracts words from documents related to categories, creates a histogram of the words in each category, and selects top words in each histogram, where the top words are used as representing words in each category. A computer system generates respective feature vectors of explanatory variable candidates and a feature vector of an objective variable, where a feature vector of a corresponding variable includes elements corresponding to respective ones of the categories and a value of element indicates whether a name of the corresponding variable is included in the top words. A computer system calculates cosine similarity between each of the respective feature vectors of the explanatory variable candidates and the feature vector of the objective variable. A computer system ranks the explanatory variable candidates, based on the cosine similarity.

Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when run on the one or more processors, cause the one or more processors to perform functions including: reconfiguring a webpage as an undirected graph; identifying a cyclic dependency in the undirected graph; iterating processing one or more inferences over the cyclic dependency for each pair of the nodes of the set of the nodes; breaking one or more of edges of the undirected graph; determining, based at least in part on compatibility functions of the one or more edges remaining after breaking the one or more of the edges, a probability of the webpage having exceeded a predetermined threshold to cause a user to take an action; and sending instructions to display the webpage. Other embodiments are described.

Abstract: A method for sharing verification information is disclosed. The method is performed at one or more electronic devices. Verification information corroborating the identity information of a first user is obtained. A first device facilitates storing the verification information in one or more encrypted containers. A request for at least a part of the verification information corroborating the identity information of the first user is received from a second device that is distinct from the first device and a client device of the user. The request for authorization to release the requested part of the verification information is sent to the client device. In response to receiving authorization from the client device to release the requested part of the verification information, the requested part of the verification information is sent to the third party.

Abstract: A theme classification method based on multimodality is related to a field of a knowledge map. The method includes obtaining text information and non-text information of an object to be classified. The non-text information includes at least one of visual information and audio information. The method also includes determining an entity set of the text information based on a pre-established knowledge base, and then extracting a text feature of the object based on the text information and the entity set. The method also includes determining a theme classification of the object based on the text feature and a non-text feature of the object.

Abstract: A non-transitory computer-readable storage medium having software instructions stored therein, which, when executed by a processor, cause the processor to receive, from a first electronic device, an annotation of content on a webpage or a software product displayed on a display of the first electronic device, associate the annotation with metadata of the content on the webpage or the software product, and transmit a signal configured to display, on a display of a second electronic device, the annotation and the content of the webpage or the software product based on the metadata associated between the annotation and the content of the webpage or the software product.

Abstract: Disclosed are systems and methods that automate the process of analyzing interactive content data using artificial intelligence and natural language processing technology to generate subject matter identifiers and sentiment identifiers that characterize the interaction represented by the content data. The automated processing classifies, reduces, segments, and filters content data to accurately, automatically, and efficiently characterize the content data. The results of the analysis in turn allow for identification of system and service problems and the implementation of system enhancements.