Abstract: In the field of government engagement management, for users of an employee desktop web client, it is now possible, within the web client application, to search and read articles and/or knowledge content that has been authored to external locations. Due to this integration to external, third-party applications, content and/or articles can be displayed to an agent on the employee desktop web client graphical user interface. Agents can enter free text into a specific search field and review the results in summary form, and then select an article in HTML format to progress the current interaction with the client. An additional feature extending from this capability is to add an amount of coding to external knowledge content websites that are owned and/or operated by the owner of the system such that when the website is viewed through the third-party integration module, a button or icon appears within the website that when selected takes the agent to an appropriate form.

Abstract: Methods, systems, and apparatus are described for processing mutations for a remote database. In one aspect, a method includes receiving a log of database mutations from a client device, the log of database mutations indicating changes previously made to a client version of a database stored on the client device, and each database mutation specifying: an entity included in the database; an operation for the entity; and a client version number for the entity; identifying, in the log of database mutations, two or more database mutations that each specify a same client version number for a same entity; determining, based on a conflict resolution policy, that the two or more database mutations are eligible for collapsing; and collapsing the two or more database mutations into a single database mutation.

Abstract: A data generation method includes: with regard to a target in which a plurality of sets of reference source data and reference target data are connectable by using edges, extracting information that corresponds to a complete bipartite graph from the connected target; and when there are a plurality of sets of reference source data and a plurality of sets of reference target data that are the extracted information and that constitute the complete bipartite graph, generating a virtual node between the reference source data and the reference target data.

Abstract: Aspects of the present invention disclose a method, computer program product, and system for analyzing change stream data. The method includes identifying, by one or more computer processors, a list of changes in a replication stream. The method further includes determining, by one or more computer processors, if one or more changes in the list of changes matches a criteria for a hint. The method further includes in response to determining that one or more of the changes in the list of changes matches the criteria for a hint, inserting, by one or more computer processors, the hint into the list of changes prior to a first change of the one or more changes that triggers a match in criteria.

Abstract: A selective PEG algorithm, creating a sparse matrix while maintaining row weight/column weight at arbitrary multi-levels, and in the process, inactivating an arbitrary edge so that a minimum loop formed between arbitrary nodes is enlarged or performing constrained interleaving, so that encoding efficiency in the case where a matrix space is narrow is improved.

Abstract: A method and system for provenance-based data backups. Specifically, the method and system disclosed herein entail generating and, subsequently, using data provenance to filter which collections of data, produced through the data mining of big data, should be replicated and stored in backup storage.

Abstract: A method for providing computer-related support to an end user is described. The method includes receiving, from a mobile device, an image of a user-readable message that is displayed by a computing device. The method also includes identifying one or more solutions using text extracted from the image of the user-readable message. The method further includes sending the one or more solutions to the mobile device for display on the mobile device.

Abstract: An illustrative embodiment of a computer-implemented method for correlating artifacts between a versioned domain and an un-versioned domain, generates metadata having attributes of both of the versioned domain and the un-versioned domains, for an artifact in a set of artifacts; creates an instance using a specific version of a versioned artifact definition, wherein the instance comprises a first part directly created from the versioned artifact definition and a second part created from an un-versioned artifact definition; specifies linkages between a respective representation of the artifact in the versioned domain and the un-versioned domain; provides a set of facades through which a selected one of author, execute and update instances of the artifact is performed using either the versioned domain or the un-versioned domain; and correlates all versions of the artifact definition to a single un-versioned definition.

Abstract: Systems and methods for searching datasets and classifying datasets are disclosed. For example, a system may include one or more memory units storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include receiving a test dataset from a client device and generating a test data model output using a data model, based on the test dataset. The operations may include processing test data model output by implementing an encoding method, a factorizing method, and/or a vectorizing method. The operations may include retrieving a reference data model output from a dataset index, based on a reference dataset. The operations may include generating a similarity metric based on the reference data model output and the test data model output. The operations may include classifying the test dataset based on the similarity metric and transmitting, to the client device, information comprising the classification.

Abstract: Various implementations disclosed herein provide a search engine that receives a search request from a sensor gateway, and provides search results in return. In various implementations, the search request includes a first set of measurements captured by a first sensor, a first measurement from the first set of measurements is outside a defined range. In various implementations, the search engine determines a first feature vector based on the first set of measurements, and identifies a second feature vector that indicates a second set of measurements within a degree of similarity to the first set of measurements. In some implementations, the second set of measurements are captured by a second sensor. In various implementations, the search engine determines a search result based on the second feature vector, and transmits the search result. In some implementations, the search result indicates one or more instructions executable by the first sensor.

Abstract: A method and system provides efficient data searches. The method and system include receiving search request data that requests a search to be made and identifying multiple search terms or clauses in the search request data. The method and system includes determining an expected cost in resources for searching each search term. The method and system then searches for each search term in order from least resource intensive to most resource intensive, with each search after the first search being performed only among the results of the previously searched term(s).

Abstract: Systems and methods described herein generally relate to storing and verifying data. In some embodiments, reference levels are generated according to time intervals, where the first reference level comprises a predetermined number of the time intervals, and where each of the time intervals of the remaining reference levels is comprised of a predetermined number of the time intervals of a previous reference level. Hashes of data can be created at the first reference level by performing a hashing function on the data in a time-sequenced manner. First reference level time interval hashes may be generated by performing the hashing function on the hashes of the data at each of the time intervals of the first reference level. Hashes for remaining reference level time intervals can be generated by performing the hashing function on the hashes of each of the time intervals of the previous reference level.

Abstract: Disclosed herein are system, method, and computer program product embodiments for interactive exploration of graph data. An embodiment operates by compiling a data query in any database-readable language based upon an input parameter. A data query of a graph data set is then conducted but is halted when a breakpoint generated from the input parameter is reached. Halting the data query includes partitioning a data subset from the graph data set. The data subsets is then displayed.

Abstract: Disclosed herein are systems, methods, and devices for testing deduplication repositories. Methods may include identifying a storage location based on a request for one or more data values associated with a read-only file system, where the read-only file system is a simulated file system, and where the storage location is identified based on a plurality of request parameters included in the request. The methods may also include generating, using a processor and responsive to the request, the one or more data values based on the plurality of request parameters and a plurality of configuration parameters, where the plurality of configuration parameters enable deterministic generation of all data values stored in the tile system. The methods may further include returning the one or more data values as a result of the request.

Abstract: A system, computer-implemented method, and computer-program product embodiments for rebuilding database indexes is disclosed. A pre-loader thread rebuilds a plurality of indexes in the background once a database is initialized. Simultaneously, a query processor receives queries from a user/client of a database. If an index that is required by the query processor has not yet been rebuilt by the pre-loader, a request to rebuild the index is sent to an asynchronous index loader. The asynchronous index loader places the request in a queue, processes the queue based on available system resources, and then rebuilds the requested indexes. Once the necessary indexes have been rebuilt, a wake-up signal is sent to the query processor which then proceeds to execute the query from a user/client.

Abstract: An index generating device (100) comprises: an index generating unit (101) which uses an interdata similarity degree which is computed by a similarity computation unit (105) to generate an index which includes a lower order node, and a higher order node which includes an entry having a link relation with the lower order node and indicating representative data having a similarity degree with data indicated by an entry in the lower order node greater than or equal to a similarity threshold value appended to the link relation; and a threshold setting unit (102) which sets the similarity threshold to a value which increases the further down the hierarchy.

Abstract: The present disclosure describes methods, systems, and computer program products for importing data to a semantic graph. One computer-implemented method includes collecting, at a client, data from an information source; receiving, from a server, a query for information associated with the semantic graph; and sending, in response to the query, the collected data to the server in accordance to a communication protocol, wherein the collected data is imported to the semantic graph.

Abstract: Systems and techniques for sharing data related to city resiliency are described herein. The user interfaces described herein, such as electronic readers, clustering visualizations, and/or map visualizations, may provide human users with tools for effective workflow processes to share and analyze data related to city resiliency. Strategies to detect potential city resiliency issues and/or resilience data may be automatically shared, investigated, executed, applied, and/or used by entities. Strategies and/or resilience data may be modified to redact sensitive information and/or configured through granular access controls for sharing. Electronic communications may be automatically ingested and shared through the city resiliency sharing system.

Abstract: A computing server can receive, from a computing device, an extensible markup language document and a location path pointing to an identifier uniquely identifying the extensible markup language document. The computing server can rearrange data within the extensible markup language document to generate a table including data arranged according to one or more location paths indicated by the extensible markup language document. Each location path of the one or more location paths can point to a storage location for data listed under the location path. The table can be specific to the identifier uniquely identifying the extensible markup language document. The computing server can store the table in a data store connected to the computing server. The computing server can retrieve, when required, the stored data from the data store within a time independent of a total number of XML documents in the data store.

Abstract: A data analysis system allows users to interact with distributed data structures stored in-memory using natural language queries. The data analysis system receives a prefix of a natural language query from the user. The data analysis system provides suggestions of terms to the user for adding to the prefix. Accordingly, the data analysis system iteratively receives longer and longer prefixes of the natural language queries until a complete natural language query is received. The data analysis system stores natural language query templates that represent natural language queries associated a particular intent. For example, a natural language query template may represent queries that compare two columns of a dataset. The data analysis system compares an input prefix of natural language with the natural language query templates to determine the suggestions. The data analysis system receives user defined metrics or attributes that can be used in the natural language queries.