Abstract: A system and method for navigating digital media assets including a navigation system configured to receive a search query in response to a user input and process the search query by applying the search query to a search index of digital media asset conventional and time-based metadata and determining search results of titles of and start points in time within digital media assets that satisfy the search query. The navigation system may then display the search results to the user through the user interface. The search results may be displayed in a hierarchical format, wherein the title of the digital media asset is displayed and upon selecting the title of the digital media asset, the start points in time within that digital media asset are displayed or played as a video to the user through the user interface.

Abstract: A server system and methodology include the following operations. A request for tags associated with a resource is received from a tag widget associated with the resource. Responsive to the request, a tag weighting engine is executed that identifies the tags and determines, respectively, individual overall weighting factors for each of the tags. The tags and associated overall weighting factors are forwarded to the tag widget within the client. The individual overall weighting factors for a particular tag is based upon a combination of weighting factors including a context weight factor for the particular tag. The context weighting factor for the particular tag is based upon a past context for the particular tag specified by a past user and an active context in which a user of the tag widget is operating.

Abstract: The present teaching relates to entity extraction and disambiguation. In one example, an entity name extracted from a data source associated with a user is obtained. One or more entity types associated with the entity name are determined. One or more entity candidates are identified with respect to each of the one or more entity types. An entity candidate is selected with respect to one of the one or more entity types to be an individual associated with the entity name.

Abstract: A data processing and records management system, which includes one or more computers with one or more processors and data storage means, is configured and arranged to generate a field interview card screen for display on a local digital computer or mobile digital device of a first system user; receive initial input data from the first system user for populating the field interview card screen so as to create a populated field interview card; provide one or more other system users access to the populated field interview card; receive subsequent input data for further populating the field interview card screen from at least one of the one or more other system users; and generate and send a notification to at least the first system user when at least one of the other system users views the populated field interview card and/or adds additional information to the populated field interview card.

Abstract: According to certain aspects, a method can include creating a backup copy of data associated with a virtual machine (VM) on one or more secondary storage devices, wherein the backup copy includes corresponding secondary copies of a plurality of files associated with the VM; analyzing metadata associated with the secondary copies to determine which of the plurality files are eligible to be removed from the primary storage device; in response determining that one or more files are eligible to be removed from the primary storage device, for respective file of the one or more files: determining whether the respective file has been changed since a first time at which the backup copy of the data associated with the VM was created; in response to determining that the respective file has not changed since the first time, removing the respective file; and adding a file placeholder for the removed file.

Abstract: Systems and methods for a media guidance application that generates results in multiple languages for search queries. In particular, the media guidance application resolves multiple language barriers by taking automatic and manual user language settings and applying those settings to a variety of potential search results.

Abstract: Embodiments disclosed include computer automated systems and methods for aggregating data from a plurality of data sources, such as proxy devices, legacy protocols, devices, applications, machines, sensors, things across locations and user types, or device clouds among devices and applications. The aggregated data is then normalized and the normalized data is analyzed. The analyzing is based on a correlated event or events, a correlated condition or conditions, and a correlated trend or trends across the plurality of data sources. And based on the analyzed data, relevant aggregated and normalized data is combined and displayed in a display compatible format. Additionally, user needs are determined based on the analyzed aggregated, normalized data. The user need comprises a need for an item or items comprising at least one of a service, a product, and an upgrade of hardware or software components.

Abstract: A logical query plan to derive a target dataset from one or more source datasets is identified. The logical query plan defines source columns of the one or more source datasets and respective target columns of the target dataset. The logical query plan is parsed to derive relationships between the source columns of the one or more source datasets and the respective target columns of the target dataset. Target column metadata is generated for a target column of the target dataset. The target column metadata reflects a derived relationship between one or more source columns and the target column and existing source column metadata of each of the one or more source columns. The target column metadata is stored for the target column of the target dataset.

Abstract: Provided is a method for encoding scatterplot data using strings. The method may comprise receiving a plurality of data points in a data set. Each data point has at least a first data value corresponding to a first dimension and a second data value corresponding to a second dimension. The method further comprises determining a first resolution for the first dimension and a second resolution for the second dimension. The method further comprises determining an encoding scheme for encoding the plurality of data points. The encoding scheme includes a plurality of valid encoding characters. The method further comprises encoding each of the plurality of data points based on the first resolution, the second resolution, and the encoding scheme.

Abstract: A candidate document is received, for example, by a document filter. A determination is made based on the content of the candidate document, whether the candidate document is relevant to a document corpus. A determination is made based on the content of the candidate document, whether the candidate document is novel with respect to the document corpus. In response to determining that the candidate document is relevant to the document corpus and novel with respect to the document corpus, the candidate document is added to the document corpus to make at least a portion of the content of the candidate document available for a response to a search query.

Abstract: Time-series data indicating a temporal variation of an index, which indicates a usage state of each of resources that are used by multiple processes, is acquired, and an operation-data matrix including vectors is generated based on the time-series data such that each of the vectors indicates the time-series data at a predetermined time interval and includes as an element the index indicating the usage state of one of the resources at the predetermined time interval. A basis matrix including a predetermined number of basis vectors is generated by performing nonnegative matrix factorization on the operation-data matrix. Component values, which respectively correspond to the resources, indicated by each of the predetermined number of the basis vectors are extracted, and information on the extracted component values is output as usage states of the resources that are used by each of the multiple processes.

Abstract: A transaction processing method and system, and a server. The method includes: after a first node obtains at least one statement corresponding to a first transaction, the first node may classify each statement, and send the at least one statement to at least one second node according to the type of each statement, respectively, so that the at least one second node generates an execution plan corresponding to the received statement according to the statement; then the first node may process the first transaction according to the received execution plan which corresponds to the at least one statement of the first transaction and is sent by the at least one second node. In this way, embodiments can process statements of multiple types at the same time, thereby effectively improving the processing efficiency of the system, reducing the operating burden of the system, and ensuring the transactionality of the system.

Abstract: A request for an entry of a dictionary having multiple dictionary blocks may be received, where the dictionary stores string values associated with corresponding value identifiers (IDs) for dictionary compression. One of the dictionary blocks may be selectively loaded into memory, and the dictionary block that has been loaded into memory may be searched. A value ID directory may be constructed in memory, where the value ID directory includes last value IDs for the dictionary blocks, and each of the last value IDs is mapped to an index of one of the dictionary blocks that includes a string value for that last value ID. A separator directory may also be constructed in memory, where the separator directory includes separators for the dictionary blocks, and each of the separators is mapped to an index of one of the dictionary blocks that includes a string value for that separator.

Abstract: Data records are linked across a plurality of datasets. Each dataset contains at least one data record, and each data record is associated with an entity and includes one or more attributes of that entity and a value for each attribute. Values associated with attributes are compared across datasets, and matching attributes having values that satisfy a predetermined similarity threshold are identified. In addition, linkage points between pairs of datasets are identified. Each linkage point links one or more pairs of data records. Each data record in the pair of data records is contained in one of a given pair of datasets, and each pair of data records is associated with a common entity having matching attributes in the given pair of datasets. Data records associated with the common entities are linked across datasets using the identified linkage points.

Abstract: An apparatus decomposes a first binary tree pattern into combinations of multiple binary tree units in accordance with a predetermined procedure. When a second binary tree pattern configured as a combination of binary tree units that are among the multiple binary tree units and include a top binary tree unit of the multiple binary units is associated with a subset of a target binary tree data, the apparatus searches the target binary tree data for the first binary tree pattern by using positions of the subset within the target binary tree data.

Abstract: Technology is described for processing Internet of Things (IoT) device data. IoT device data may be received from an IoT device. Contextual data that is related to the IoT device data from the IoT device may be identified. A first schema that defines the IoT device data and a second schema that defines the contextual data may be identified. A relational database that merges the IoT device data with the contextual data may be created. Knowledge of the first schema and the second schema may enable the IoT device data and the contextual data to be read and organized in the relational database.

Abstract: In an embodiment, a method comprises creating and storing, at a client computer, schema blueprint data comprising a plurality of different service definitions, each of the service definitions composed in a domain specific language (DSL), each service definition comprising identification of an endpoint and one or more schema definition language elements; generating, based on the schema blueprint data, a combined schema in a graph query language processing system, the combined schema indicating which querying operations and mutating operations that a graph endpoint of the graph query language processing system can execute, the generating the combined schema comprising: automatically mapping a first resource of a first plurality of digitally stored resources from the endpoint of a first service definition of the plurality of service definitions to a first field in the combined schema; automatically mapping a second resource of a second plurality of digitally stored resources from the endpoint of a second service

Abstract: An approach for retrieving and storing telephone numbers along with related contextual information associated with inbound/outbound communications to/from a device. The approach includes a method that includes combining, by at least one processing device, identification information of an entity and a related communication mechanism used to initiate a communication to a device. The method further includes providing, by the at least one processing device, a soft record that includes the identification information and the related communication mechanism.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving a query provided by a user and comprising one or more terms. Obtaining context data based on at least a portion of a first resource displayed to the user at a time that the query is received. Obtaining a revised query that is based on the query and the context data. Receiving a plurality of search results responsive to the revised query. Automatically, selecting a search result that represents a second resource from the plurality of search results, and providing the second resource for display to the user.

Abstract: Provided are systems, methods, and computer-program products for generating a personalized item list. In various examples, a server computer on a network can receive a request that includes a user identifier. The computer can use the user identifier to look up a data model associated with the user identifier. The computer can further determine a geolocation, and use the geolocation to determine a list of items associated with an eatery at or near the geolocation. The computer can input the item list into the data model, for the data model to output a probability for each item, the probability indicating a likelihood that the user will select the item. The probabilities can be used to generate a personalized item list, which can be output onto the network for receipt by a computing device.