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: In one embodiment, the present disclosure pertains to a data export job engine. A data export architecture may include jobs comprising a plurality of tasks configured in series. In one example embodiment, the jobs may correspond to particular data visualizations to be downloaded. In another embodiment, data visualizations in a user interface display may be created from remote data. Portions of the remote data may be downloaded to a local computer to recreate the data visualizations without the need for remote data requests.

Abstract: In accordance with an embodiment, described herein is a system and method for dynamically converting data manipulation language (DML) code embedded in a mainframe application rehosted in a mainframe rehosting platform. The DML code can include SQL scripts with SQL statements, and standalone SQL statements for accessing a source database in a mainframe computer. The DML code can be converted programmatically and immediately before the DML code is to be executed during the execution of the rehosted mainframe application. A database access script converter in an application runtime of the mainframe rehosting platform can load a database schema of a target database and a set of conversion rules, parse the rehosted mainframe application to identify the DML code, and convert each SQL statement based on one or more conversion rules and the database schema, for execution against the target database.

Abstract: Databases are often provided according to various organizational models (e.g., document-oriented storage, key/value stores, and relational database), and are accessed through various access models (e.g., SQL, XPath, and schemaless queries). As data is shared across sources and applications, the dependency of a data service upon a particular organizational and/or access models may become confining. Instead, data services may store data in a base representation format, such as an atom-record-sequence model. New data received in a native item format may be converted into the base representation format for storage, and converted into a requested format to fulfill data requests. Queries may be translated from a native query format into a base query format that is applicable to the base representation format of the data set, e.g., via translation into an query intermediate language (such as JavaScript) and compilation into opcodes that are executed by a virtual machine within the database engine.

Abstract: A method and system for executing database queries in parallel using a shared metadata store. The metadata store may reside on a master node, and the master node may distribute this metadata with query plans to worker nodes. The worker nodes may request additional metadata from the master node when necessary.

Abstract: Systems and methods are provided that facilitating an error analysis of a product deficiency.

Abstract: Techniques are disclosed for automated data management. In one example, a method maintains a set of machine-readable data definition files corresponding to a set of data assets. At least one machine-readable data definition file specifies code for implementing at least one goal state associated with at least one corresponding data asset. The at least one machine-readable data definition file is executed to effectuate the at least one goal state.

Abstract: Example embodiments of a system and method for analyzing and causing presentation of an impact or influence of a value of a dimension on a data set are described. In an example embodiment, a data set organized according to a first dimension is accessed from a data store. An influence value indicating an influence on the data set of at least one value of the first dimension is calculated. At least one of an influence rating and an influence ranking of the at least one value of the first dimension is determined based on the calculated influence value. The influence rating or ranking of the at least one value relative to other values of the first dimension is caused to be presented in conjunction with at least a portion of the data set organized according to the first dimension.

Abstract: Various embodiments for managing data in a data deduplication repository in a computing storage environment, by a processor device, are provided. In one embodiment, a method comprises issuing an application programming interface (API) command to scan metadata of a subset of entities in a local deduplication repository for identifying candidate data to offload from the local deduplication repository to an object storage, offloading the candidate data to the object storage, and returning a status result using the API command.

Abstract: Event correlation may include identifying a feature set for each log file of a plurality of log files, and extracting the feature set for each event of a plurality of events in each log file of the plurality of log files. Event correlation may further include determining a plurality of trace event pairs linkage strength values for an event from a first log file of the plurality of log files and a plurality of events from a second log file of the plurality of log files. The trace event pairs linkage strength values may represent an overlap of the feature set for the event from the first log file and the feature set for each of the plurality of events from the second log file.

Abstract: Systems and methods for maintaining a current database of point of interest (POI) by automatically detecting a change associated with a POI based on cohort analysis are provided. A networked system accesses trip data associated with the POI. Using the analyzed trip data, the networked system generates a cohort associated with the POI. The networked system monitors for, and detects a change in, trip behavior in the cohort associated with the POI. In response to detecting the change in trip behavior, the networked system updates a database in a data store to indicate a status update.

Abstract: Performing data synchronization is disclosed, including: receiving an indication to synchronize a container to a snapshot, wherein the container has a first data state and an identity, wherein the snapshot corresponds to a second data state; causing the container to have the second data state corresponding to the snapshot; and maintaining the identity of the container.

Abstract: Some embodiments of the present invention include a method for determining a dense subset from a group of records using a graphical representation of the group of records, the graphical representation having nodes and edges, a node associated with a record from the group of records, an edge connecting two nodes associated with two related records, wherein a node is associated with a weight corresponding to a number of edges connected to the node, wherein a record is added to the dense subset based on its associated node having a highest weight and a density that satisfies a density threshold, the density being based on the content of the dense subset, and wherein the content of the dense subset is to be processed as including duplicate records.

Abstract: Examples disclosed herein relate to a database comparison operation to identify an object. For example, a processor may enroll a set of object templates in a storage based on objects within input content and enroll a target object template in the storage based on a target object in target content. The processor may identify an object within the input content associated with the target object based on a database comparison operation of the stored set of object templates to the stored target object template. The processor may output object recognition information related to the identified object.

Abstract: A method for automatically detecting errors in at least one data entry in a database, the at least one data entry including an input string of characters that do not match at least one predefined string of characters. The method includes generating a first image map; generating at least one classification parameter by comparing the first image map to a second image map, the second image map based at least partially on the predefined string of characters; determining that the input string of characters correlates to the predefined string of characters; and modifying the at least one data entry to match the predefined string of characters in response to determining that the input string of characters correlates to the predefined string of characters. Various other methods and systems for automatically detecting errors in at least one data entry in a database are also disclosed.

Abstract: Various embodiments for managing data in a data deduplication repository in a computing storage environment, by a processor device, are provided. In one embodiment, a method comprises migrating certain deduplication repository data from a host to an object storage by integrating a data offload process with an existing backup management application, for reducing unnecessary deduplication repository data stored on the host.

Abstract: A computing device determines that a user submits a query. The computing device tracks proximate web activities to the query by the user, determines a topic of the query, and determines a navigation path of the user from the proximate web activities. The computing device calculates a semantic score for the navigation path and associates the semantic score with the user, the topic, and the navigation path. The computing device calculates a threshold score for the topic using a sampling of semantic scores associated with matching topics in an expertise dataset and determines whether the semantic score meets the threshold score. When the semantic score does not meet the threshold score, the computing device performs one or more predetermined actions. An efficient manner of automatically discovering navigation paths used by experts in specific topics is provided, thus requiring less computing time and resources.

Abstract: Various embodiments are directed to a system that utilizes regular expression (regex) to recognize at least portions of characters, words, text, numbers, etc. in a structured or unstructured dataset, any patterns associated therewith, and/or similarities between the determined patterns. In examples, a regex-based pattern recognition platform may receive a dataset and determine whether at least a first regex pattern and a second regex pattern can be identified. The occurrences of the first and second regex patterns and the frequency of those occurrences may reveal something about the dataset itself or any patterns contained therein.

Abstract: Generating an improved/more accurate geolocation database is provided. Given a dataset of reverse DNS hostnames for IP addresses, ground truth information, and a hierarchical geographical database, a machine learning classifier can be trained to extract and disambiguate location information from the reverse DNS hostnames of IP addresses and to apply machine learning algorithms to determine location candidates and to select a most probable candidate for a reverse DNS hostname based on a confidence score. The classifier can be used to generate an accurate geolocation database, or to provide accurate geolocation information as a service.

Abstract: Embodiments include a data aware deduplicating object store. The data aware deduplicating data store includes a consistent hashing logic that manages a consistent hashing architecture for the object store. The consistent hashing architecture includes a metadata ring and a bulk ring. The consistent hashing architecture may be a multiple ring architecture comprising a metadata ring and two or more bulk rings. A bulk ring may include a key/value (k/v) data store, where a k/v data store stores a shard of an index and a reference count that facilitates the individual approach to garbage collection or data reclamation. The data aware deduplicating data store also includes a deduplication logic that provides data deduplication for data to be stored in the object store. The deduplication logic performs variable length deduplication and provides a shared nothing approach.