Abstract: A computer-implemented system within a computational cluster for aggregating data from a plurality of heterogeneous data sets into a homogeneous representation within a distributed, fault tolerant data source for the subsequent high-throughput retrieval, integration, and analysis of constituent data regardless of original data source location, data source format, and data encoding is configured for reading an input data set, generating a source data model based on the input data set, generating a vocabulary annotation and a profile of said source data model, executing semantic processing on said source data model so as to produce a normalized model based on standard ontology axioms and expanding the normalized model to identify and make explicit all implicit ontology axioms, and executing semantic querying on said data model using parallelized ontology reasoning based on an Enhance Most-Specific-Concept (MSC) algorithm.

Abstract: The current document is directed to efficient, distributed-search methods and subsystems within distributed computer systems, including computer systems distributed over multiple sets of geographically distributed data centers, each comprising multiple discrete computer systems, such as multi-processor servers. In one implementation, the distributed-search methods and subsystems are implemented locally within participating entities as well as within one or more distributed-search engines. Each search is directed, by a participant, to identify attribute-associated entities within, provided by, connected to, or otherwise accessible to a distributed computing system having attribute values specified or indicated by the search query. Certain attribute values are continuously collected and centrally stored by the one or more centralized distributed-search engines while other attribute values are obtained through information requests distributed among participating entities.

Abstract: A system and method is provided for performing a full data backup of user data with data protection. An example method includes generating a snapshot of the electronic data stored in memory, initiating a transfer of the electronic data to a data storage facility; detecting requests to modify a file of the electronic data, saving an initial version of the file based on the snapshot of the electronic data, continuing the transfer of the data to the data storage facility, and transferring the modified file using the initial version of the file based on the snapshot of the electronic data.

Abstract: A hierarchical dictionary having methods of storing words based on frequency thereof in one or more documents which includes the steps of identifying a hash value corresponding to an inputted word; storing the word in a first hash map and in a second hash map having a substantially larger word storage capacity than the first hash map based on the identified hash value; clearing the first hash map at every predetermined period or triggering event; determining whether a frequency of the word as stored in the second hash map exceeds a predetermined value; and if so, promoting the word from the second hash map to a third hash map having a substantially larger word storage capacity than the second hash map for long-term storage and later retrieval.

Abstract: Multidimensional databases are well-suited for viewing data at different levels of detail. Graph databases are well-suited for modeling data sets with complex relationships. A novel platform for analysis and planning is enabled by linking multidimensional and graph databases. Graphs are data structures stored in graph databases. Graphs use nodes and edges to model data elements, some of which are derived. A graph is traversed to derive new data elements. To perform analysis on the graph data elements, graph traversal paths are stored as tuples in a fact table. This fact table is in turn loaded into the multidimensional database by mapping the fact table's attribute columns to dimensions of the multidimensional database.

Abstract: A method and system are provided of processing a search query entered by a user of a device having a text input interface with overloaded keys. The search query is directed at identifying an item from a set of items. Each of the items has a name including one or more words. The system receives from the user an ambiguous search query directed at identifying a desired item. The search query comprises a prefix substring of at least one word in the name of the desired item. The system dynamically identifies a group of one or more items from the set of items having one or more words in the names thereof matching the search query as the user enters each character of the search query.

Abstract: Collections of music and other items, related by time, location, genre, and artist, and that are registered in a data model to provide a foundation for their curatorship, discovery, and procurement are accessed by analyzing captured sound and seeking a match based on an acoustic fingerprint. As a result of said match, a map through the history and culture of music is created for display. The map is created in an embodiment by a series of choices, where a choice is a combination of any of time, place, genre, and artist. Both expert and regular individual curators can define the maps; or the maps can be defined algorithmically. Based upon said matches, one or more animated murals depicting a fundamental combination of any of time, place, genre, and artist are provided to a user via a user interface for the navigation of music, its history, and culture.

Abstract: A hybrid storage capable of storing the image files and the service files for VMs and Containers is provided. A large files storage is placed onto a service volume. A VM image file is placed onto the large file storage and a file system is mounted on it. The small files storage is also placed onto the service volume. This way a portion of the large file storage can be seen to the management system for VMs and Containers as a part of an interface of the common file system. Thus, large files and small files reside on the same distributed storage. One file from the large file storage is dedicated as a service file. The file system is placed into this file, which is mounted into the system as a virtual disk. The small (service) files are stored on the virtual disk. This way all files are accessible by the management system for VMs and Containers.

Abstract: Systems, methods, and non-transitory computer-readable media can receive a first content item having a set of frames. A binary hash code that represents the first content item is generated using at least an aggregation model and an iterative quantization hash model, the binary hash code being determined based at least in part on the set of frames of the first content item. The binary hash code is stored, wherein a similarity between the first content item and a second content item is capable of being measured based at least in part on a comparison of the binary hash code of the first content item and a binary hash code of the second content item.

Abstract: A system includes a memory configured to store a plurality of tools and a processor configured to use the plurality of tools. The processor uses the plurality of tools to retrieve historical information relating to a storyline, retrieve user information relating to user interactions with the storyline, provide the historical information and the user information for incorporating into the content, and generate the content using the historical information and the user information.

Abstract: Systems, methods, and other embodiments associated with indexing spatial data in a distributed file system using local indexes are described. In one embodiment, a method includes dividing the spatial data into splits. Each of the splits includes a portion of the spatial data and includes additional sub-units that further sub-divide the spatial data. The example method may also include populating index records for the sub-units using metadata extracted from the spatial data. The metadata for each of the sub-units describes sub-unit characteristics of a respective one of the sub-units and split characteristics of one of the splits associated with the respective one of the sub-units. The method includes indexing the spatial data by generating local indexes using the index records with one of the local indexes for each of the splits and generating a global index that identifies the local indexes.

Abstract: A method for inferring a user interest from geo data items associated with the user. The method includes retrieving point-of-interests (PoIs) from a PoI information repository based on the geo data items, generating a weighted count of the PoI for each geo data item that is weighted based on an attribute of the geo data item, and aggregating the weighted count across all geo data items to generate a score of the PoI, wherein the interest level of the user is inferred based at least on the score of the PoI.

Abstract: In accordance with an embodiment, described herein is a system and method for implementing a distributed ledger a blockchain cloud service. The blockchain cloud service can include nodes of the distributed ledger and a management console component. The management console component can include a web application running in a script runtime environment, a plurality of backend of APIs for communicating with various nodes of the blockchain cloud service, and a plurality of client APIs configured to be invoked by a client application. The plurality of client APIs uses one or more of the plurality of backend APIs in provisioning the distributed ledger as a blockchain cloud service, and in managing the managing the blockchain cloud service.

Abstract: A computer-implemented method for processing a query is disclosed. The method includes receiving, by a server, a query from a user device over a network, the query including one or more keywords; classifying, by the server, the query into one or more categories based on the one or more keywords of the query; determining, by the server, a confidence indicator associated with each of the one or more categories from the classifying; and modifying the query to boost the one or more categories when the confidence indicator associated with the one or more categories for one or more of the keywords of the query is greater than or equal to a confidence level threshold.

Abstract: An automatic control system for regulating the information exchange between information producer and information consumer. One control mechanism can dynamically refine the decision to include or exclude information items from the consumer information stream to improve success metrics like participation. One or more system interface request control mechanisms can dynamically provide incentive and limits for the input of audience targets, priorities, preferences, and other data. An administrator may set parameters and select success metrics to balance the goals of the information exchange participants and stakeholders. The system can also serve to resolve conflicts between the selection criteria of a consumer and the audience targets of a producer.

Abstract: Briefly, embodiments of methods and/or systems for performing content recommendation are disclosed. For one embodiment, as an example, estimating relevance may include computing an inner product of latent factors corresponding to a plurality of users and features of one or more content items.

Abstract: A data preprocessing system builds transformation scripts for preprocessing datasets for processing by a data analysis system. The data preprocessing system presents various representations of data of a dataset including visual representations, textual representations, or structural representations. The data preprocessing system receives selections of attributes or values based on these representations. The data preprocessing system generates recommendations of transformations based on the attributes or values selected. The data preprocessing system builds a transformation script based on the recommendations of the transformations. The transformation script can be used for preprocessing the dataset for analysis by a data analysis system.

Abstract: Provided are a computer program product, system, and method for replication of versions of an object from a source storage to a target storage. A source retention policy indicates at least one source retention requirement to determine when to expire versions of an object at the source storage and a target retention policy indicates at least one target retention requirement to determine when to expire versions of the object at the target storage. The source and target retention requirements for versions of the object are different. The source retention policy is used to expire at least one version of the object at the source storage to satisfy the at least one source retention requirement. A number of the versions of the object maintained at the source storage and target storage differ due to the different source and target retention requirements.

Abstract: An apparatus and a computer-implemented method for processing data are disclosed. The apparatus comprises a memory device that stores first history data, and at least one processor configured to receive input data, determine a relationship between the first history data and one or more portions of the input data, generate one or more reference tokens reflecting the relationship, and transmit the one or more reference tokens to a recipient device.

Abstract: A usage analysis service that obtains session events from application instances, updates usage metrics for the application instances according to the session events, and stores or updates aggregated usage metrics for each application according to the session events. Updates for the instance usage metrics may be partitioned according to instance identifier, collected in batches, and applied to respective instance records in an instances table by one or more instance update nodes. Updates for the aggregated usage metrics may be partitioned according to application identifier, collected in batches, processed to combine multiple updates, and applied to respective aggregate records in an application usage table by multiple application usage update nodes. The system may provide an interface that retrieves aggregated usage metrics from the application usage table and presents application usage information for the applications to consumers.