Abstract: A system and method is provided that facilitates a progressive guided search for PLM objects. The system may comprise a processor configured to generate a GUI that enables a plurality of objects classified by library nodes to be searchable via a selection of one or more library nodes and a selection of one or more filter values for a plurality of filters corresponding to different object features. The processor may be responsive to a selection of a library node and/or filter value: to determine a subset of objects having object features corresponding to the selection; to cause the subset of objects to be displayed in the GUI; to determine a second plurality of filters based on the determined subset of objects; and to cause the second plurality of filters to be displayed in the GUI in an order based on the filter values associated with the second plurality of filters.

Abstract: Methods, computing systems and computer program products implement embodiments of the present invention that include configuring a storage system to store multiple storage entities for access by one or more host computers in communication with the storage system, and specifying a compression condition including a minimum compression ratio. The storage system can then estimate an expected compression ratio for a given storage entity, compress the given storage entity upon the expected compression ratio meeting the compression condition, and provide, to a given host computer, access to the compressed given storage entity.

Abstract: Answer effectiveness evaluations include providing, by a computing device, an answer to a search query received from a user, and in response to receiving a subsequent search query from the user, determining by the computing device a level of effectiveness of the answer to the search query with respect to the user. The determination includes comparing aspects of the search query to aspects of the subsequent search query, calculating, based on the comparing, a relevance score that indicates a measure of similarity between the aspects of the search query and the aspects of the subsequent search query, and determining that the answer effectively answers the search query when the relevance score exceeds a threshold value.

Abstract: An apparatus, method, and program product are disclosed for collaborative product lifecycle management. One apparatus includes a data processing module that receives product lifecycle management (“PLM”) data from multiple client applications in a collaborative environment. The PLM data may be in a client specific format. The apparatus includes a subscription module that receives one or more subscription requests from each client application. Moreover, the apparatus includes a conversion module that converts the PLM data from the client specific format to a generic format. The apparatus includes a storage module that stores the generic format of the PLM data. The conversion module may convert subscription data from the generic format to the client specific format. The subscription data may correspond to the PLM data stored in the generic format. The subscription module may provide the subscription data to the multiple client applications based on the one or more subscription requests.

Abstract: A data analysis system is proposed for providing fine-grained low latency access to high volume input data from possibly multiple heterogeneous input data sources. The input data is parsed, optionally transformed, indexed, and stored in a horizontally-scalable key-value data repository where it may be accessed using low latency searches. The input data may be compressed into blocks before being stored to minimize storage requirements. The results of searches present input data in its original form. The input data may include access logs, call data records (CDRs), e-mail messages, etc. The system allows a data analyst to efficiently identify information of interest in a very large dynamic data set up to multiple petabytes in size. Once information of interest has been identified, that subset of the large data set can be imported into a dedicated or specialized data analysis system for an additional in-depth investigation and contextual analysis.

Abstract: A personalized image-text creation system and method is disclosed. The system including: a database that stores image-text data; a user interaction framework that interacts with a user equipment accessed to the creation system via a network; and a content aggregation engine that acquires corresponding image-text data from the database and generates a personalized image-text in response to interaction between the user interaction framework and the user equipment, according to the interaction. The present application provides a creation system and method that more flexibly and conveniently create personalized image-texts with more personalization and higher user experience.

Abstract: A distributed hash table (DHT) based logging service utilizes a DHT to store an event log or another type of data. For example, applications can utilize the logging service to store data that logs aspects of their operation. A key/value storage service can provide access to the DHT. The data stored in the DHT can be organized into a “skipchain” data structure. The data structure includes nodes storing the data that are distributed across partitions of the DHT. Nodes in the data structure can identify “redundancy nodes” and “skip nodes.” When a request is received to add new data to the skipchain data structure, a new node is stored in the DHT that includes the new data. A head node for the data structure is updated in the DHT. The head node can also be utilized to recover from a failure to write an internal node to the data structure.

Abstract: A method for transferring encoded data slices from a first storage unit to a second storage unit begins by a processing module ascertaining a first mathematical process used to determine that the encoded data slices are to be stored in the first storage unit, where the first mathematical process includes a first mathematical function sequence and a first set of coefficients. The method continues with the processing module determining a second mathematical process, which indicates that the encoded data slices are to be stored in the second storage unit, where the second mathematical process corresponds to an adjustment of at least one of the first mathematical function sequence and the first set of coefficients. The method continues with the processing module transferring, based on a transfer command, the encoded data slices from the first storage unit to the second storage unit utilizing the second mathematical process.

Abstract: A method for providing proposition-based content for review within a collaborative environment includes representing a set of propositional content available for an argument within a user interface provided via one or more client systems as a plurality of statement elements that are each one of a plurality of statement types that include premise, warrant, and claim, constructing a logical argument object for the argument based on input defining the argument to include one or more premises.

Abstract: In one embodiment, a method includes receiving data that includes an association between a nickname and a primary name, determining whether the association meets a nickname association threshold, and generating at least one expanded index entry that associates the nickname with the primary name when the association meets the nickname association threshold. The data may include a log entry indicating that a search for the nickname that returned the primary name as a result was followed by a user selection of the primary name, and the method may further include incrementing a counter value associated with the nickname and the primary name. The data may include a first log entry indicating that a search for the nickname returned a result the user did not select, followed by a second log entry indicating that a search for the primary name returned the primary name, and a user selected the primary name.

Abstract: Systems and methods disclosed herein provide access to a data file stored at a remote data storage system. A user device can send a file access request, via a user interface provided by the remote storage server, to the application server to access a data file stored at the remote storage server. The application server can then optionally identify a relevant application for accessing the data file, and send, to the remote server, a metadata-and-content request relating to the data file. The metadata-and-content request includes version information of a previously cached version of the data file cached at the application server. When the cached version is not the latest version, the application server receives the latest version of the data file from the remote storage server. The latest version of the data file is then presented, via the relevant application on the application server, to the user device.

Abstract: Some embodiments of on-the-fly pattern recognition with configurable bounds have been presented. In one embodiment, a pattern matching engine is configured based on user input, which may include values of one or more user configurable bounds on searching. Then the configured pattern matching engine is used to search for a set of features in an incoming string. A set of scores is updated based on the presence of any of the features in the string while searching for the features. Each score may indicate a likelihood of the content of the string being in a category. The search is terminated if the end of the string is reached or if the user configurable bounds are met. After terminating the search, the scores are output.

Abstract: The disclosure generally describes methods, software, and systems, including a method for using and managing ephemeral tables. User inputs associated with a database management system are received from an application. The user inputs are associated with a particular user and a particular application. From an auto-save cache index, one or more ephemeral tables are identified that are associated with the user inputs. The ephemeral tables are mapped to one or more tables in the database management system. Using the user inputs and the auto-save cache index, the one or more ephemeral tables are updated. Information associated with the user inputs is automatically stored on a temporal basis. The information survives database sessions, transaction boundaries, and database management system restarts.

Abstract: Aspects include operating a distributed database that includes multiple computing nodes that are connected via a network for exchanging data, and a database management system for managing a source dataset and a target dataset. The target dataset is stored in a distributed fashion across the multiple computing nodes. The method includes repeatedly, using the multiple computing nodes, checking for a matching condition between a source element selected from a source dataset and one of multiple target elements in the target dataset. The multiple computing nodes are used to calculate a command set of a merged command list of commands to merge the source element with the target element using the matching condition. The command set is executed to merge the source element with the target dataset before checking for the matching condition between a next source element selected from the multiple source element and one of the multiple target elements.

Abstract: A cluster of data transfer devices is used to augment the capabilities of a data storage system. For example, the cluster of data transfer devices may be configured to store a portion of a bundle of redundancy coded shards in a similar fashion as a data storage system. As another example, the cluster may be configured to provide other capabilities incident to the devices used, such as computational capabilities. Data stored on the cluster may be read from and written directly to the cluster without transfer of data to the data storage system. In some embodiments, a connecting entity (such as a customer entity) may interchangeably interface with the data storage system and the cluster, and the requested capabilities may be directed to either in a fashion that is transparent to the requestor.

Abstract: A method of reciprocally publishing and matching data files by facilitating the creation of Category A and Category B data files having a respective sets of characteristics defined utilizing a common language architecture, associating enhancement objects with each data file, identifying characteristics in each data file which must be met by other data files, weighting characteristics in each data file differently from other characteristics in the same data file, enabling the selection of participation levels for each data file in marketspaces, and matching Category A data files participating in particular marketspaces to Category B data files participating in the same marketspaces using the common language architecture, the enhancement objects, the weights and the required characteristics.

Abstract: Methods and systems are disclosed where a plurality of precompiled hardware templates are stored in memory, each of the hardware templates being configured for loading onto a re-configurable logic device such as a FPGA to define a data processing operation to be performed by the re-configurable logic device, each of the data processing operations defined by the precompiled hardware templates having an associated performance characteristic. A processor selects a precompiled hardware template from a plurality of the precompiled hardware templates in the memory for loading onto the re-configurable logic device based at least in part on the associated performance characteristics of the data processing operations defined by the precompiled hardware templates.

Abstract: The present invention extends to methods, systems, and computing system program products for incrementally calculating skewness for Big Data or streamed data in real time by incrementally calculating one or more components of skewness. Embodiments of the invention include incrementally calculating one or more components of skewness in a modified computation subset based on the one or more components of the skewness calculated for a previous computation subset and then calculating the skewness based on the incrementally calculated components. Incrementally calculating skewness avoids visiting all data elements in the modified computation subset and performing redundant computations thereby increasing calculation efficiency, saving computing resources and reducing computing system's power consumption.

Abstract: A system for generating normalization candidates for a search query includes a database for storing session logs with each session log including query data and a processor in communication with the database and configured to execute computer-readable instructions causing the processor to analyze session log data to generate sets of query reformulations for a plurality of search queries, select one of the sets containing a normalization candidate that matches the search query, filter the selected set of reformulations, tie the candidates in the selected set to a category, compare the categories of the candidates, remove at least one reformulation from the selected set when the category of one candidate is uncommon with the category of the other candidate, and store the remaining candidates in the database. A method and one or more non-transitory computer-readable storage media for generating stemming pairs for a search query are also disclosed.

Abstract: A hot folder mechanism is employed to provide a truly integrated architecture for easy-to-use, easy-to-deploy scale-out computation and scale-out storage. A folder of an Ingest, Transform, Store (ITS)-Network attached storage (NAS) system can be configured as “hot.” The configured hot folder can then detect changes on its content, analyze such content, perform transform services on the content, and output the computation results as files on other specified output folders. In one aspect, file system nodes of the ITS-NAS can present the content to high performance computing (HPC) compute nodes of the ITS-NAS as well as to dispatch the execution of transform services to the HPC compute nodes.