A computer-implemented method is disclosed. The method includes determining whether a level of resource utilization of an organization having a first index and a first cluster requires that the organization is assigned to a second cluster, if the level of resource utilization requires that the organization is assigned to the second cluster, creating a second index for the organization in the second cluster, adding a consul entry in a consul that points to the second index, and upon completion of a data migration operation, changing an entry of the cluster routing controller for the organization, from the first index to the second index. A connection is established using the consul entry.

Various embodiments provide methods and devices for utilizing content conversion for the communication of content. In an embodiment, method, performed by a user device, includes receiving a user input comprising one or more user preferences to facilitate at least one output content; Further, the method includes receiving at least one input content from at least one content source based on the one or more user preferences. Thereafter, the method includes separating the at least one input content from the at least one content source using delimiters, and generating the at least one output content from the at least one input content based on one or more content characteristics. The at least one output content has data size less than the data size of the at least one input content. Furthermore, the method includes transmitting, the at least one output content to another user device.

A method for rendering a multimedia data stream tamper-proof and of evidential value when recorded in a block chain system reads and decodes the multimedia data stream to obtain multiple frames of data arranged in sequence, and calculates a hash value of each frame of data of the multimedia data stream. One or more items of data are selected from the multiple frames of data based on a predetermined rule and information as to properties of the one or more items of data is uploaded to the block chain system for recording purposes. A device for applying the method to a multimedia data stream is also disclosed.

Methods, systems, and computer-readable media for a scalable metadata index for a time-series database are disclosed. A time-series database receives a query comprising spatial and temporal boundaries of requested time-series data in a table. Using traversal of a metadata index, the time-series database determines one or more storage locations in the one or more data sources corresponding to the spatial and temporal boundaries. The metadata index includes a root node representing spatial and temporal boundaries of the table. The metadata index includes one or more leaf nodes representing the spatial and temporal boundaries of the requested time-series data. The one or more leaf nodes indicate the one or more storage locations in the one or more data sources. The time-series database obtains one or more elements of the requested time-series data from the one or more storage locations in the one or more data sources.

Methods and apparatuses are described for automatically identifying text sections of a document to generate a searchable hierarchical data structure. A computing device receives a document comprising text entities and converts the document from a first format to a second format, including generating metadata associated with text alignment, text position, text spacing, or fonts. The computing device extracts the text blocks, including determining coordinates associated with each text block using the metadata. The computing device determines document sections using the document metadata by identifying strings in the extracted text blocks that indicate a presence of a bullet point in the document, assigns a hierarchical category to each identified document section, and inserts text of each document section into a hierarchical data structure based upon the assigned hierarchical category. The computing device traverses the hierarchical data structure using search request data to identify document sections relating to the search request data.

Systems and methods are provided for generating hypermedia-based graphical user interfaces for display on a mobile device. In one embodiment, the systems and methods may include at least one processor in communication with a mobile device associated with a user; and a storage medium storing instructions. When executed, the instructions may configure the at least one processor to automatically generate one or more queries for information identifying the user and an individual associated with the user, automatically generate one or more requests for status information and real-time location information for the individual, automatically generate, based on the requested status information and real-time location information, a plurality of hypermedia elements for a graphical user interface being formatted for the mobile device, and provide the automatically generated hypermedia elements for display in a graphical user interface formatted for the mobile device.

Methods and systems for providing computer-assisted guided review of unstructured data to generate a structured data output based on customizable template rules are provided. In embodiments, an unstructured file is received, and a predefined template is selected. The predefined template includes a plurality of fields, each field corresponding to a field of the structured report. The predefined template also defines extraction rules for each field of the predefined template, and the extraction rules define parameters for identifying unstructured data relevant to the associated field. The extraction rules are applied to the unstructured file to identify data relevant to the field associated with the corresponding extraction rule, and the data identified as relevant is confirmed. Confirming the relevant data includes determining to refine the relevant data based on a condition, and modifying the extraction rule associated with the field to refine the relevant data.

Methods and systems for providing computer-assisted guided review of unstructured data to generate a structured data output based on customizable template rules are provided. In embodiments, an unstructured file is received, and a predefined template is selected. The predefined template includes a plurality of fields, each field corresponding to a field of the structured report. The predefined template also defines extraction rules for each field of the predefined template, and the extraction rules define parameters for identifying unstructured data relevant to the associated field. The extraction rules are applied to the unstructured file to identify data relevant to the field associated with the corresponding extraction rule, and the data identified as relevant is confirmed. Confirming the relevant data includes determining to refine the relevant data based on a condition, and modifying the extraction rule associated with the field to refine the relevant data.

A method for broadcasting contents and a device using the same are provided. The method for broadcasting contents includes displaying a host content window in which a first content is displayed, and displaying an application window in which a second content is displayed, the second content being provided by an application which is executed in the device, where only the first content among the first content and the second content is broadcast to an external device connected to the device.

The present disclosure provides a data processing method. The method includes the steps of constructing a keyword library of an obtained comment corpus associated with a target object, the keyword library comprising a plurality of keywords; extracting a plurality of partial comment corpora from the comment corpus, each partial comment corpus of the plurality of partial comment corpora comprising a plurality of comment words including at least one of the plurality of keywords in the keyword library; combining the plurality of partial comment corpora to produce a candidate corpus; and performing a topic clustering process on the candidate corpus of each keyword to obtain a subject term for the target object.