Abstract: One or more embodiments of the disclosure include a character management system that determines and utilizes contextual meaning with regard to standardized image characters. In particular, the character management system determines contextual meaning with regard to standardized characters based on the manner in which the standardized characters are utilized in a repository of electronic documents. Moreover, the character management system can utilize the contextual meaning to search, recommend, analyze, and translate with regard to the use of standardized image characters.

Abstract: Systems and methods for data management are disclosed. One method can comprise receiving first data from one or more data sources and forming a classification group from the one or more data sources based upon one or more classifiers. The method can also comprise generating an identifier for the classification group by applying a function to the first data and/or the one or more classifiers. Second data can be received from the one or more data sources of the classification group and the second data can be associated with the identifier of the classification group.

Abstract: The technology disclosed relates to maintaining a cache of effective properties in an identity management system employing a graph. In particular, it relates to handling vertex/edge and/or graph topology updates in accordance with update notification requirements configured from a schema and, in conjunction with detecting updating of vertex/edge attributes and/or graph topology, recalculating effective attributes in accordance with the configured notification requirements.

Abstract: Systems and methods that offer significant improvements to current content processing management systems for heterogeneous and widely distributed content sources are disclosed. The proposed systems and methods are configured to provide a framework and libraries of extensible components that together are designed enable creation of solutions to acquire data from one or more content repositories, possibly distributed around the world across a wide range of operating systems and hardware, process said content, and publish the resulting processed information to a search engine or other target application. The proposed embodiments offer an improved architecture that incorporates manager nodes and worker (processing) nodes, where worker nodes are configured to scan and process data, while manager nodes are configured to handle all allocation of work (including throttling) and control state and failover. Such an arrangement enables the system to perform with greater scalability and reliability.

Abstract: A memory for storing a directed acyclic graph (DAG) for access by an application being executed by one or more processors of a computing device is described. The DAG includes a plurality of nodes, wherein each node represents a data point within the DAG. The DAG further includes a plurality of directional edges. Each directional edge connects a pair of the nodes and represents a covering-covered relationship between two nodes. Each node comprises a subgraph consisting of the respective node and all other nodes reachable via a covering path that comprises a sequence of covering and covered nodes. Each node comprises a set of node parameters including at least an identifier and an address range. Each node and the legal address specify a cover path. Utilizing DAG Path Addressing with bindings the memory can be organized to store a generalization hierarchy of logical propositions.

Abstract: A system and improved method for managing an individual's job applications and networking processes in a digital, visual manner. In one aspect of the present invention, the platform is realized in the form of a web application with different sections, including one for tracking job applications, one for tracking networking outreach and engagement, and another for seeing tasks from both of those other sections. Data relevant to individual job applications and networking opportunities is stored in each section and displayed in an interactive kanban board-manner to enable them to manipulate their status and stay organized. Additional integrations and features include permitting importing and exporting data to third party servicers, such as job boards, applicant tracking systems, and calendars, and automated movement and prioritization using artificial intelligence/machine learning techniques applied to specific and aggregated data from other users.

Abstract: Systems and methods for automated and explainable machine learning to generate seamlessly actionable insights by generating explainable personas directly from customer relationship management systems are disclosed. The personas are defined as a collection of segments, scored by likelihood to generate good opportunities, accompanied ranked profile attribute importance, with descriptive names and summaries, associated human and database readable queries which have been generated to optimally find cluster candidates in a broader data universe. Such a system would effectively and accurately model the composition of past clients, perform the categorization in an explainable way such that actions can be taken on the information to have predictable results.

Abstract: A rule storing unit stores a set of rules each defining facts and a relation between the facts, and weights representing importance levels of the rules. An input data storing unit stores input data. A query storing unit stores a query. An importance level calculating unit calculates an importance level of each fact type of the facts defined by the rules. A fact data generating unit generates, for each fact type, fact data in which true/false is observed as a fact by a number corresponding to the importance level of the fact type, from the input data. A fact data storing unit stores the fact data. An inference performing unit performs probabilistic inference of a result of the query by using the fact data, the rules, and the weights. An output unit outputs a result of the inference.

Abstract: Source database precommitted transactions are resolved in a target database of a database replication system when selected source database precommitted transactions are subsequently aborted in the source database.

Abstract: A method of summarizing data files includes implementing, at a server, a storage event for a data file, analyzing the data file and creating a summary of the data file, and storing the summary linked to the data file.

Abstract: Selection of a batch file that causes an analysis device to analyze a sample successively is received by a receiver. Batch analysis data that represents an analysis result and corresponds to the batch file, selection of which is received, is acquired from a database device. Standard information, for verifying validity of an analysis performed by the analysis device, which corresponds to the batch file, selection of which is received, is acquired by a standard information acquirer from the database device. A report that describes an analysis result represented by the batch analysis data and an evaluation result in regard to validity of an analysis performed by the analysis device is created by a creator based on the acquired batch analysis data and the acquired standard information.

Abstract: This disclosure involves stitching event data using identity mappings. An event analytics system generates and stores an event dataset including first event data for a first set of events associated with a user. The first event data includes timestamps and a device identifier. The system identifies second event data for a second event associated with the user. The second event data includes a timestamp, the device identifier, and a user identifier. The system appends the second event data to the event dataset. Based on the second event data, the system generates and stores an identity mapping that maps the device identifier to the user identifier. Asynchronously to generating and storing the event dataset, based on the identity mapping and a predetermined look-back window, the system updates the first event data to include the user identifier.

Abstract: A method may include updating database posting logic to obtain an updated database posting logic that, during a posting process to a database, adds a data field to a new line item being posted via the posting process. The method may further include receiving information from a data provider. The method may further include posting, using the updated database posting logic, the information to the database as a line item including various fields including the data field. The method may further include receiving a request to generate a transactional report. The method may further include using the data field to identify the line item. The method may further include generating the transactional report using the line item.

Abstract: An edge server receives a request from a client device for an action to be performed on a resource. The edge server determines whether data traffic is associated with one or more filters. When the edge server determines that there are filters associated with the type of data traffic, the edge server accesses a data structure storing properties of the request. For each request property in the data structure, the edge server applies a related filter to a value of the request property and determines where the value of the request property matches an expected value. In response to determining that one or more filters match, the edge server performs actions on the request. When the edge server performs the actions on the request, the edge server sends the request to the origin server.

Abstract: A system, method, specialized computers, and software for improving wine consumption experience is disclosed. In some configurations, descriptors for wine and or music may be determined. Wine and music profiles may be generated. Wine-music pairs may be created in certain configurations. In some configurations, a user may use certain configurations to select a particular wine, have his or her mobile device play a song matched to that wine.

Abstract: Embodiments of the present disclosure provide apparatuses, methods, computer program products, and systems for data perspective generation and visualization. Some example embodiments provide advantages of exploring various ideas, represented by and/or associated with one or more perspective data objects, without utilizing a complex re-configuration stage for one or more machine learning models, and/or without utilizing one or more team members conventionally required to ensure proper implementation of the idea(s). Similar advantages are obtained when desiring to change an existing idea, change the level of granularity associated with the processing, and/or the like. Some embodiments are configured to cause rendering of interfaces associated with the processing, and/or enable a user to user interaction for inputting the desired level of granularity of the generated perspectives and/or desired granularity for the analysis of the data set.

Abstract: High performance space efficient distributed storage is disclosed. For example, a distributed storage volume (DSV) is deployed on a plurality of hosts, with a first host storing a local cache, and a storage controller executing on a processor of the first host receives a request to store a first file. The first file is stored to the local cache. The DSV is queried to determine whether a second file that is a copy of the first file is stored in the DSV. In response to determining that the DSV lacks the second file, the first file is transferred from the local cache to the DSV and then replicated to a second host of the plurality of hosts. In response to determining that the second file resides in the DSV, a reference to the second file is stored in the DSV and then replicated to the second host.

Abstract: The cloud hybrid application storage management system spans local data center and cloud-based storage and provides a unified view of content and administration throughout an enterprise. The system manages synchronization of storage locations, ensuring that files are replicated, uniquely identified, and protected against corruption. The system ingests digital media assets and creates instances of the assets with their own identification and rights and houses the identification and relationships in a CAR (Central Asset Registry). The system tracks the different instances of the assets in multiple storage locations using the CAR, which is a central asset registry that ties together disparate digital asset management repository systems (DAMs) and cloud-based storage archives in which the instances reside. While the invention treats and manages multiple files/instances independently, the CAR identifies them as related to each other.

Abstract: The described methods, systems, and other aspects can, by way of example, advantageously provide efficient metadata storage in a master-slave node-based metadata store of a distributed storage system. An example method may write a first transaction entry in a transaction log of a first node based on a first request for a first operation associated with a first storage object. The method may then request a second node write the first transaction entry in a transaction log of the second node based on the first request. While awaiting a first acknowledgment of a completion of a writing of the first transaction entry in the transaction log of the second node, the method may proceed to write one or more subsequent transaction entries in the transaction log of the first node based on one or more subsequent requests for one or more operations associated with one or more storage objects.

Abstract: A transaction processing method includes: dividing a to-be-processed transaction obtained from a database into at least two subtransactions; dividing each subtransaction into N parts with an association relationship; processing the N parts of each subtransaction based on the association relationship, to obtain a processing result of a lastly executed part of the N parts; determining, upon detecting an abnormal subtransaction based on the processing result, a processing policy matching an abnormality reason of the abnormal subtransaction; and processing the abnormal subtransaction by using the processing policy, to obtain a final processing result of the to-be-processed transaction.