Abstract: The present application discloses a method and an apparatus for information query, and an electronic device, which relates to a field of deep learning (DL), natural language processing (NLP) and artificial intelligence (AI) technology. The method includes: receiving a query sentence, segmenting the query sentence to obtain word segments, and obtaining a dependency relationship between two word segments and part of speech of the word segments; obtaining a coding sequence of the query sentence according to the dependency relationship and the part of speech of the word segments; matching the coding sequence with a generalized template to obtain a core corpus of the query sentence, wherein the generalized template comprises part of speech to be extracted and a dependency relationship to be extracted; and obtaining a query result corresponding to the query sentence based on the core corpus.

Abstract: A reference map generator clusters, into a semantic map, a set of data documents selected according to at least one criterion and associated with a medical diagnosis. A parser generates an enumeration of measurements occurring in the set of data documents. A representation generator generates for each measurement in the enumeration, a sparse distributed representation (SDR). The method includes storing, by a processor on a second computing device, in each of a plurality of memory cells on the second computing device, one of the generated SDRs. A diagnosis support module receives a document comprising a plurality of measurements. The representation generator generates a compound SDR for the document. Each of the plurality of bitwise comparison circuits determine a level of overlap between the compound SDR and the stored generated SDR. The diagnosis support module provides an identification of the medical diagnosis associated with a stored SDR.

Abstract: A non-transitory computer-readable recording medium stores a response processing program for causing a computer to execute processing including: receiving a question from a user input to a terminal; extracting, in a case where a plurality of pieces of answer candidate data that corresponds to the received question is retrieved, keywords or key phrases from the plurality of pieces of answer candidate data; classifying the extracted keywords or key phrases on the basis of words included in the keywords or key phrases; and outputting a classification result of the keywords or key phrases to the terminal in a state selectable by a user, together with a response text to the question.

Abstract: A computer processing system includes a processor to operate in a first computing environment. The processor creates a generic application layer by scrubbing a new application layer within the computer processing system to remove objects associated with the new application layer and specific to the first computing environment. The processor further creates within the computer processing system a single composited layered image by merging the generic application layer with at least one other application layer having objects associated therewith.

Abstract: A system and method for extracting search terms for corresponding data elements from a natural language document identifies meaningful words within the context; identifies and structures the keywords; expounds on the keywords to optimize the search results; and captures the most relevant data elements from the corresponding database. Predetermined demographic characteristics and short (one- or two-word) search phrases that capture descriptors of behavioral characteristics are structured in the process. The result of the completed process yields a parameter set naming demographic and behavioral characteristics along with a structure that is optimized for search within a database comprising a large number of data elements.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method, and/or computer program product embodiments for a crowd sourced indexing and/or searching of content. An embodiment operates by receiving one or more requests for content from one or more media devices, each request comprising content identifier information that identifies the content, determining whether crowd sourced content index information has been generated for the content, transmitting a response to the one or more media devices of the one or more media devices, in response to the one or more requests, the response comprising content location information and a content indexing request, and receiving content index information for the content identified by the content identifier information from the one or more media devices.

Abstract: A method includes receiving data collected from a plurality of managed devices in a plurality of data collections. The data collections are performed using a plurality of collection protocols. A trigger that generated each of given ones of the data collections is determined. The method further includes identifying a collection protocol of the plurality of collection protocols used for each of the given ones of the data collections, and determining one or more attributes of a plurality of attributes of the plurality of managed devices that have been collected using given ones of the collection protocols. A mapping is generated between the triggers, the collection protocols and the attributes using one or more machine learning algorithms. The generated mapping is used to predict one or more collection protocols of the plurality of collection protocols to use to collect data from one or more of the managed devices.

Abstract: One or more techniques and/or computing devices are provided for replicating virtual machine disk clones. For example, a first storage controller, hosting first storage, may have a synchronous replication relationship with a second storage controller hosting second storage. A virtual machine, within the first storage, may be specified as having synchronous replication protection. Accordingly, virtual machine disk clones of a virtual machine disk of the virtual machine may be replicated from the first storage to the second storage. For example, virtual machine disk clones may be synchronous replicated, replicated by a resync process invoked by a hypervisor agent, and/or stored and replicated from a clone backup directory.

Abstract: A method for linking a plurality of virtualized application packages for execution on a computer system is described. A runtime executable of a primary virtualized application package is launched. A secondary virtualized application package to be merged with the primary virtualized application package is identified. In one embodiment, application settings and file data for the first and second virtualized application packages are merged into a single data structure. An execution layer is created by starting execution of one of the application files associated with the primary virtualized application package. Requests from the execution layer to the operating system for configuration settings and contents of application files of either the primary virtualized application package or secondary virtualized application package and providing requested configuration settings are satisfied using configuration settings and file information from both the primary and secondary virtualized application packages.

Abstract: To the standard operations of an inverted index database, a new “To” operator is added. The “To” operator treats the standard single-level linear collection of records as being organized into localized clusters. Techniques for hierarchical clusters are presented. During indexing, hierarchical clusters are serialized according to a uniform visitation procedure. Serialization produces bit maps, one for each hierarchical level, that preserve the hierarchical level of each record and its location in the serialization sequence. For non-hierarchical clusters, byte maps can be produced. The “To” operator accepts a list of records, each at a same hierarchical level in a cluster, and a specification of a hierarchical level that all the input records should be converted into. The “To” operator outputs a list of records, representing a conversion of the input records to the specified new level. Logical Forms, against which frame extraction rules match, can be stored in hierarchical clusters.

Abstract: A method of transferring data between database locations comprising: providing a location reference comprising location values of one or more data collections stored in a database; providing an indicator in association with at least one data collection of the one or more data collections, the indicator being provided in response to initiation of a transfer process of the at least one data collection from a first location of the database to a second location of the database; wherein the indicator is changeable between a first state and a second state, the first state being indicative of the initiation of the transfer process; and as part of the transfer process of the at least one data collection, selectively updating a location value of the at least one data collection in the location reference, in dependence on a determination of whether the indicator is in the first state or the second state.

Abstract: In an embodiment, a method comprises performing a first synchronization operation for a blockchain node of a plurality of blockchain nodes of a blockchain network, the first synchronization operation comprising the blockchain node receiving blockchain history data from one or more blockchain nodes of the plurality of blockchain nodes of the blockchain network and storing the blockchain history data in one or more digital data repositories; determining that the blockchain history data satisfies one or more validation criteria; creating a new blockchain node of the blockchain network, the new blockchain node configured to retrieve the blockchain history data from the one or more digital data repositories and replicate the blockchain history data for the new blockchain node, the new blockchain node existing in an unsynchronized state; performing a second synchronization operation for the new blockchain node of the blockchain network, the second synchronization operation comprising the new blockchain node receivi

Abstract: The disclosure herein describes providing responses to natural language queries associated with transcripts at least by searching multiple indexes. A transcript associated with a communication among a plurality of speakers is obtained, wherein sets of artifact sections are identified in the transcript. A set of section indexes is generated from the transcript based on artifact type definitions. A natural language query associated with the transcript is analyzed using a natural language model and query metadata of the analyzed natural language query is obtained. At least one section index of the set of section indexes is selected based on the obtained query metadata and that selected section index is searched. A response to the natural language query is provided including result data from the searched at least one search index, wherein the result data includes a reference to an artifact section referenced by the searched section index(es).

Abstract: A data processing system which includes a data management system located in a first network, the data management system providing operations for modifying data stored by the first data management system, and a natural language processing system for processing natural language messages. The natural language processing system is located outside the first network. The system further comprises an interface application having access to the data management system adapted to: receive one or more natural language messages from a user; forward the natural language messages to the natural language processing system; receive an invocation message from the natural language processing system, the invocation message comprising operation data defining an operation to be performed at the data management system, the operation identified by the natural language processing system based on the natural language messages; and invoke the operation at the data management system based on the operation data.

Abstract: A method, system, and computer-readable medium is described for facilitating interactions between software programs by providing a reliable data queuing service that enables the programs to store and retrieve elements of data queues. In some situations, the data queuing service is provided to users who purchase usage of the data queuing service for application programs executed by or otherwise affiliated with the users. In addition, accessibility of the data queuing service to remote executing programs may be enhanced via a defined API of the data queuing service, such as a Web services-based API. Availability of the data queuing service may also be enhanced in some situations by using multiple alternative distributed systems for a data queue such that each of the alternative systems stores a subset of the elements of the data queue.

Abstract: Metadata is replicated. For instance, in response to receiving a request for replicating metadata to a target node, information of an index structure associated with the metadata is obtained. The index structure may include terminal nodes for storing the metadata and index nodes for storing index information of the terminal nodes. Next, the metadata from the terminal nodes is extracted based on the information of the index structure. Further, a sequence is generated to be replicated of the metadata. The sequence to be replicated includes items of the metadata, and locations of the items in the sequence to be replicated are determined based on key information corresponding to the items. In addition, the items of the metadata, in the sequence to be replicated, are replicated to the target node. In this way, only the metadata in the index structure is replicated, thereby reducing the data amount of replication.

Abstract: In an embodiment, a method for generating a search query for a graph database includes displaying a list of vertex properties on a user interface; receiving, via the user interface, a selection of one or more of the displayed vertex properties; forming a graph database query based on selection; and displaying a report containing a result of the query.

Abstract: In some embodiments, a computer system may buffer, in a local storage buffer, data to be stored at the cloud and upload the data to the cloud storage from the local storage buffer. Upon receipt of an acknowledgement, from the cloud storage, that the data was successfully uploaded, the computer system may delete the data from the local storage buffer. The computer system may provide a ghost file representation of the uploaded data through the computer system, through which the data uploaded to the cloud storage may be accessed. In some embodiments, the computer system may access multiple cloud storage accounts, each corresponding to a file folder on the computer system, allowing the user to easily access different cloud storage accounts. The computer system may recover data that was deleted from either local persistent storage or the cloud storage.

Abstract: Systems and methods for conversational user experiences and conversational database analysis disclosed herein improve the efficiency and accessibility of low-latency database analytics.

Abstract: A service identifies a level of specificity of one or more identified entities in a user input comprising a query, within one of multiple levels of a hierarchy of a hierarchical coding system. Responsive to determining that additional levels of specificity beyond the identified level of specificity are recommended to return a minimum answer set to the query, the service returns one or more answers requesting one or more additional inputs refining the query based on one or more values identified in a next level. Responsive to determining that no additional levels of specificity beyond the identified level of specificity are recommended to return the minimum answer set to the query, the service returns an answer set comprising a selection of information for the current level of specificity from an ingested corpus of knowledge mapped to the hierarchical coding system.