Abstract: Systems, methods, and media for generating analytical data from actions performed on one or more publishing servers. Methods may include capturing one or more audit trails by determining actions performed on the one or more publishing servers via one or more client devices, the one or more publishing servers adapted to publish informational content; generating analytical data from the one or more audit trails; and storing the generated analytical data in a database.

Abstract: In one embodiment, a method for searching for drawings found in a set of patent-related documents includes receiving a search query, and searching a parts index for part names matching one or more terms in the search query. The method further includes displaying one or more drawings, wherein the one or more drawings include at least one part name within the search query and the part name is stored within the parts index. In another embodiment, a method for searching for drawings includes receiving a request to search for drawings relating to a select drawing of a patent-related document, extracting parts information from the select drawing, and comparing the extracted parts information with parts information stored in a parts index. The method further includes determining that one or more drawings are similar to the select drawing, and displaying the one or more drawings.

Abstract: Methods, systems, computer program products, and articles of manufacture for processing events are described. An event is obtained and the event is processed to generate data using a first set of one or more operators. The generated data is stored in a first column store with a first row/transaction identifier and the first row/transaction identifier is stored in one or more first processing queues to enable further processing of the event using a second set of one or more operators.

Abstract: Real-time topic analysis for social listening is performed to help users and organizations in discovering and understanding trending topics in varying degrees of granularity. A density-based sampling method is employed to reduce data input. A lightweight NLP method is utilized for topic extraction which provides an efficient mechanism for handling dynamically-changing content. In embodiments, the social analytics system further helps users understand the topics by ranking topics by relevance, labeling topic categories, and grouping semantically-similar topics.

Abstract: According to one embodiment of the present invention, during database replication from a source database to a target database, operations applied to the source database are transferred as target operations and applied to the target database. A request from a requestor to idle a specified database object is received during the database replication. In response to receiving the request, transference of the target operations for the specified database object from the source database to the target database is terminated and target operations for the specified database object on the target database are monitored. In response to no target operations being applied to the specified database object on the target database, replication of the specified database object is suspended and the requestor is notified when the idling of the specified database object has completed.

Abstract: According to one embodiment of the present invention, during database replication from a source database to a target database, operations applied to the source database are transferred as target operations and applied to the target database. A request from a requestor to idle a specified database object is received during the database replication. In response to receiving the request, transference of the target operations for the specified database object from the source database to the target database is terminated and target operations for the specified database object on the target database are monitored. In response to no target operations being applied to the specified database object on the target database, replication of the specified database object is suspended and the requestor is notified when the idling of the specified database object has completed.

Abstract: A respective volatility attribute associated with each of one or more tables of a computerized database is used to adjust an extension file size value associated with a database table file space. Various optional additional uses of a volatility attribute to manage a database are disclosed. Preferably, database parameters are automatically monitored over time and database table volatility state is automatically determined and periodically adjusted.

Abstract: A respective volatility attribute associated with each of one or more tables of a computerized database is used to adjust an extension file size value associated with a database table file space. Various optional additional uses of a volatility attribute to manage a database are disclosed. Preferably, database parameters are automatically monitored over time and database table volatility state is automatically determined and periodically adjusted.

Abstract: In one embodiment, a method of updating a list of available scratchfiles at a node accessing a filesystem includes determining whether the node should update the list of available scratchfiles on the filesystem. If the node should update the list of available scratchfiles of the filesystem, the method updates the list of available scratchfiles on the filesystem. In one embodiment, the method may determine whether the list of available scratchfiles on the filesystem should be updated by determining whether another node is currently updating its scratch list for the filesystem. If it is not, then the method may further determine whether the filesystem has added a scratch volume since a previous update of the list of available scratchfiles at the node.

Abstract: Method and apparatus for searching chronologically stored related content objects for at least one requested search definition. The method includes retrieving a search request identifying the related content objects to be searched and the at least one requested search definition to be applied to the related content objects and determining whether any new related content objects have been stored after the searching has begun. If any new related content objects have been stored, one of the new related content objects is selected for searching and, if no new related content objects have been stored, an older stored related content object is selected for searching. The method also includes applying the at least one requested search definition to the content object selected for searching, and identifying which at least one requested search definition is found in the selected content object.

Abstract: A technique relates to flash-optimized data layout of a dataset for queries. Selection columns are stored in flash memory according to a selection optimized layout, where the selection optimized layout is configured to optimize predicate matching and data skipping. The selection optimized layout, for each selection column, is formed by storing a selection column dictionary filled with unique data values in a given selection column, where the unique data values are stored in sorted order in the selection column dictionary. Row position designations are stored corresponding to each row position that the unique data values are present within the given selection column, without duplicating storage of any of the unique data values that occur more than once in the given selection column.

Abstract: A personalization system includes a user events module configured to receive a plurality of user events, each user event of the plurality of user events including one or more of a transactional event and a behavioral event associated with the online user, and a personalization cluster including a plurality of personalization servers, each personalization server of the plurality of personalization servers configured to receive a personalization request from a requesting system, the personalization request including a plurality of intermediate results identified by the requesting system, each intermediate result representing a possible outcome that may be presented by the requesting system to the online user, compute a score for each intermediate result of the plurality of immediate results based at least in part on the plurality of user events, thereby generating a plurality of scores, and return the plurality of scores to the requesting system.

Abstract: There is provided information processing apparatus. An extraction unit extracts features of a selected document from an inverted index in which documents and features of the documents are associated. A retrieval unit retrieves a document having any one of the features extracted by the extraction unit by the inverted index. A selection unit selects a feature of the features corresponding to a plurality of retrieval results by the retrieval unit, the feature having a high effect of narrowing down the retrieval results. A presentation unit presents a combination of the features selected by the selection unit, as a retrieval condition.

Abstract: A computer implemented method implemented with a processor for assigning a unique identifier for a data item initially deployed at a cluster of a networked environment that includes determining a unique cluster identifier for the cluster of the networked environment, atomically modifying a local counter value at the cluster of the networked environment and appending the unique cluster identifier to the atomically modified local counter value at the cluster of the networked environment to form a unique ID for the data item.

Abstract: A method, system, and computer program product for high-performance database systems. The method commences by estimating, during a compile phase, a statically-calculated system cost of performing parallel join operations over two relations, then selecting, during the compile phase, a first distribution method to perform the parallel join operations. Instructions (e.g., table partitioning) are communicated to two or more execution units for execution of the parallel join operations, and during execution, various measurements are taken pertaining to the performance of a first portion of the parallel join operations using the selected first distribution method. Then, responsive to the measurements a second distribution method is selected and corresponding instructions are communicated to the two or more execution units. The parallel join operations continue, now using the second distribution method.

Abstract: A method, executed by an electronic apparatus, includes retrieving, in response to input of a character string by a user, conversion candidates associated with the input character string, each conversion candidate having a first rank. The method also includes displaying, when a plurality of the conversion candidates are present, the plurality of conversion candidates within a corresponding plurality of regions on a map wherein conversion candidates that have a higher first rank occupy larger regions on the map. A corresponding computer program product and corresponding computer systems are also disclosed herein.

Abstract: A method of maintaining a database for a plurality of vehicles includes obtaining first sensor data from a vehicle sensor and comparing the first sensor data to data in the database. If the first sensor data does not match the database data, it is determined whether data from a single vehicle sensor or from a plurality of vehicle sensors is required to update the database. The database is updated if consistent data from a required number of vehicle sensors is available. A loss of database integrity is identified if data from a plurality of vehicle sensors is required to update the database but is not available. Anomalous driving is identified if data from a plurality of vehicle sensors is required to update the database and is available, and if the first sensor data is not confirmed by data from other vehicle sensors.

Abstract: A data classification system is associated with a hybrid cloud comprising at least one private cloud and at least one public cloud. The data classification system comprises a data set classification model classifying data sets, a cloud classification model classifying the private and public clouds of the hybrid cloud, and mapping policies each specifying a particular mapping between one or more classes of the data set classification model and one or more classes of the cloud classification model. The data classification system classifies a received data set using the data set classification model, and determines for the received data set at least one cloud of the hybrid cloud to which the received data set should be directed for further processing based at least in part on a result of the classification of the received data set, the cloud classification model and a selected one of the mapping policies.

Abstract: An exemplary method for efficiently backing up data in thin-provisioned environments may include: 1) identifying a volume to be backed up, 2) identifying a thin-provisioned storage system that contains storage space allocated to the volume, 3) obtaining information from the thin-provisioned storage system that identifies portions of the volume for which storage space has been allocated on the thin-provisioned storage system, and then 4) creating a backup of the volume by invoking read operations only for those portions of the volume for which storage space has been allocated on the thin-provisioned storage system. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A method performed by a physical computing device communicatively coupled to a computer network for creating an aggregate report of a presence of a user of the physical computing device on the network includes periodically searching the network with the physical computing device for content related to the user authored by a source other than the user, the searching being based on a unique set of identifiers associated with the user, dynamically updating the unique set of identifiers based on contextual trends within content returned as a result of the searching, and aggregating content published by the user to the network with the content returned as a result of the searching to form the aggregate report of the presence of the user on the network.