Abstract: Systems and methods are provided for implementing a multi-service file system for a hosted computing instance via a locally-addressable secure compute layer. Software within the instance can submit file operations to the secure compute layer, which the secure compute layer can translate into calls to one or more network-accessible storage services. To provide a multi-service file system, the secure compute layer can obtain mapping data mapping file system objects within the virtualized file system to different network-accessible storage services. On receiving a file operation, the secure compute layer can determine one or more network-accessible storage services corresponding to the file operation, and submit appropriate calls to the one or more network-accessible storage services.

Abstract: A memory allocation device includes a storage including at least one memory pool in which a memory piece used to search for a route is previously generated and a controller that determines whether it is possible to search for the route using the previously generated memory piece and determines an added amount of memory pieces to previously allocate a memory of the storage, when it is impossible to search for the route.

Abstract: The present disclosure provides a technical solution related to intelligent knowledge learning and question-answering. The technical solution involves extracting knowledge from corpus and providing a user with a question-answering service based on the extracted knowledge.

Abstract: In an aspect, provided is a method comprising receiving, at a master node, capability information associated with a plurality of worker nodes, receiving, at the master node, an indexation request, and in response to the indexation request, distributing one or more tasks to the plurality of worker nodes based on the respective capability information, wherein the one or more tasks relate to generating a plurality of indexlets.

Abstract: Case management systems and techniques are disclosed. In various embodiments, a trait definition is received that associates with a case node comprising a case model an object associated with an external system, e.g., a document or other content object and/or a business or other software object. The trait definition is used to bind respective instances of the object to corresponding instances of the case node in case instances created based on the case model.

Abstract: Systems and methods are disclosed herein for generating content based on matching mappings by implementing deconstruction and reconstruction techniques. The system may retrieve a first content structure that includes a first object with a first mapping that includes a first list of attribute values. The system may then search content structures for a matching content structure having a second object with a second list of attributes and a second mapping including second attribute values corresponding to the second list of attributes. Upon finding a match, the system may generate a new content structure having the first object from the first content structure with the second mapping from the matching content structure. The system may then generate for output a new content segment based on the newly generated content structure.

Abstract: Technologies related to generating diverse electronic summary documents for a webpage are described herein. A sequence of tokens is extracted from the webpage, and the sequence of tokens is provided to several computer-implemented models. The computer-implemented models output respective sets of candidate assets based upon the sequence of tokens, where the candidate assets are potentially included in an electronic summary document for the webpage. Subsequently, a user query is received, and at least one candidate asset from the candidate assets are selected for inclusion in the electronic summary document based upon the query. Thus, different electronic summary documents can be generated for the webpage when different queries are received.

Abstract: A cloud-native global file system used to provide primary file storage for enterprise data is augmented to provide “direct-to-cloud” (D2C) migration of an initial data set. In addition to providing a filer, the service provider configures a direct-to-cloud migration tool, typically as a downloadable virtual machine (VM), that is executed in association with the hardware of the enterprise filesystem whose data set is being migrated. The migration tool reads the existing filesystem, transforms the data into a format consistent with that done by a filer, and pushes the result (a single version) directly to an object store in the cloud. In a first pass (run), typically a large bulk of the data is moved and, depending on how the migration tool is configured, one or more additional passes may then be carried out. When migration is complete (or substantially complete), the filer then is activated to complete the migration (if need be) and take over the go-forward operations.

Abstract: Multi-modal machine-learning model training techniques for search are described that overcome conventional challenges and inefficiencies to support real time output, which is not possible in conventional training techniques. In one example, a search system is configured to support multi-modal machine-learning model training. This includes use of a preview mode and an expanded mode. In the preview mode, a preview segment is generated as part of real time training of a machine learning model. In the expanded mode, the preview segment is persisted as an expanded segment that is used to train and utilize an expanded machine-learning model as part of search.

Abstract: This application relates to a file loading method performed at an electronic device, and a non-transitory computer-readable storage medium thereof. The method including: receiving, in response to a user operation, an instruction for loading a target file; determining an associated feature of at least one piece of resource information in the target file; determining a type of the resource information according to the associated feature of the resource information; and loading the resource information by using a loading algorithm corresponding to the type of the resource information.

Abstract: Methods, systems, and apparatuses, among other things, may detect and store activity in videos based on a spatiotemporal graph representation. Spatiotemporal proximity graphs may be built based on one or more received tracks and may include one or more nodes and each node may include one or more attributes associated with a corresponding entity. One or more spatiotemporal relationships may be identified between the entities based on each spatiotemporal proximity graph one or more activities of the entities may be identified based on the spatiotemporal relationships.

Abstract: The present disclosure relates to restricting generation and delivery of insights to data source providers. Electronic activities and record objects may be accessed. Each record object may correspond to a record object type and have one or more object field-value pairs. Node profiles may be maintained. Updates to a node graph or corresponding to a record object may be detected. A number of data source providers having respective electronic activities or record objects from which the update to the node graph or corresponding to the record object can be determined. Provisioning of a content item to a second data source provider may be restricted.

Abstract: A method, computer program and apparatus is disclosed. The method, performed by one or more processors, may comprise receiving, from one or more predetermined organizations, datasets representing entities and datasets representing one or more tasks for those entities and storing in a database, in accordance with an ontology which is common to the organizations, the received one or more datasets as data objects, the ontology defining properties of data objects and relationships between the data objects. The method may also comprise mapping the data objects stored in the database to the organization from which the one or more datasets were received and receiving, through a querying application, a query from a user of one of the predetermined organizations to view one or more data objects relating to a task.

Abstract: A method for configuring the operation of the software of a data as a service (DAAS) system during run time is described. The configuring includes at least one of configuring ingestion of a vendor dataset to produce an ingested dataset and which analysis operations to perform on the vendor dataset to produce an analyzed dataset, and the configuring also includes at least one of how to search the vendor dataset based on a search query from a customer to allow the customer to locate a new record from the vendor dataset and how to match records in the vendor dataset with a match query from the customer to provide an updated record to the customer.

Abstract: Case management systems and techniques are disclosed. In various embodiments, for each of a plurality of case nodes comprising a case model a trait definition comprising a corresponding set of traits associated with that case node is received. The respective trait definitions are used to bind each set of traits to the case node with which the set of traits is associated in case instances created based on the case model.

Abstract: The present inventors devised techniques and technologies that streamline the protection of data stored on shared file storage e.g., on file servers, network-attached storage (NAS), share drives, network shares, etc., in a data storage management system. Some embodiments feature a proxy-less backup configuration in which backup services hosts are assigned to perform a secondary copy job, at job runtime, based on host attributes relative to the data source. Some embodiments are configured to, at job runtime, automatically resolve data paths to the source data, and automatically mount the data paths, rather than requiring data paths to be expressly pre-administered on all possible candidate backup machines. Some embodiments automatically protect data from shared file storage that was not expressly given a backup plan (“undefined” data) by applying default preferences for protecting undefined data.

Abstract: Systems and methods are disclosed to implement a bounded group by query system that computes approximate time-sliced statistics for groups of records in a dataset according to a group by query. In embodiments, a single pass scan of the dataset is performed to accumulate exact results for a maximum number of groups in a result grouping structure (RGS) and approximate results for additional groups in an approximate result grouping structure (ARGS). RGSs and ARGSs are accumulated by a set of accumulator nodes and provided to an aggregator node, which combines the received structures to generate exact or approximate statistical results for at least a subset of the groups in the dataset. Advantageously, the disclosed query system is able to produce approximate results for at least some of the groups in a single pass of the dataset using size-bounded data structures, without predetermining the actual number of groups in the dataset.

Abstract: Methods and systems are provided for ranking search results and generating a presentation. In some implementations, a search system generates a presentation based on a search query. In some implementations, a search system ranks search results based on data stored in a knowledge graph. In some implementations, a search system identifies a modifying concept such as a superlative in a received search query, and determines ranking properties based on the modifying concept.

Abstract: Embodiments are directed to managing file systems over a network. A hierarchical index may be provided based on a file system and a plurality of objects stored in the file system A token index may be generated based on the hierarchical index. Each token may be a portion of the path of the objects Metric indices may be generated based on the hierarchical index and a plurality of metrics associated with the objects such that the metrics indices include one or more rows that corresponds to a place position for a metric value. Employing the token index and the metric indices to generate query results based on the plurality of metrics associated with the objects.

Abstract: In patient cohort identification, clustering (30) of patients is performed using a patient comparison metric dependent on a set of features (24). Information is displayed on sample patients who are similar or dissimilar to a query patient according to the clustering. User inputted comparison values are received comparing the sample patients with the query patient. The set of features and/or feature weights are adjusted to generate an adjusted patient comparison metric having improved agreement with the user inputted comparison values. The clustering is repeated using the adjusted patient comparison metric. A patient cohort is identified from a cluster (34) containing the query patient produced by the last clustering repetition. The information on the sample patients may be shown by simultaneously displaying two or more graphical modality representations (70, 72, 74) each plotting the sample patients and the query patient against two or more features of the modality.