Abstract: A method and associated system for matching and delivering digital work metadata to one or more digital service providers, including modifying one or more digital work metadata files to remove non-critical data or segment erroneous data from the one or more digital work metadata files; reformatting the one or more digital work metadata files for compatibility with a digital service provider usage report table; performing a first matching operation, in which the one or more digital work metadata files are compared to the digital service provider usage report table on the basis of one or more data points; performing a second matching operation, the second matching operation being an artificial intelligence (AI) matching operation on one or more unmatched digital work metadata files of the one or more digital work metadata files; and transmitting output data from the matching operations to the one or more digital service providers.

Abstract: A non-transitory computer-readable medium having computer-readable instructions stored thereon which, when executed by a computer, cause the computer to perform a method of processing data comprising the steps of: receiving data associated with event instances; and for each of a plurality of iteration methods: partitioning the incoming event instances into logical data partitions; assigning an identifier to each event instance such that events classified in the same logical data partition receive the same identifier and a given event instance is always assigned the same identifier; and inserting each event instance into a doubly-linked list associated with the identifier in an appropriate location.

Abstract: A system and method are disclosed for the collection and aggregation of data from contributing members of a community, such as health-related, personal, genomic, medical, and other data of interest for individuals and populations. Contributors become members of a community upon creation of an account and providing of data or files. The data is received and processed, such as to analyze, structure, perform quality control, and curate the data. Value or shares in one or more community databases are computed and attributed to each contributing member. The data is controlled to avoid identification or personalization. Steps are taken to determine incompleteness and incorrectness of the data, and the data may be improved or completed automatically, based upon interaction with members, additional contributions of data, and so forth.

Abstract: Techniques to store graph information in a database are disclosed. In various embodiments, each node in a graph may be modeled as a micro b-tree. Node identity, attribute, edge, and edge attribute data may be stored in one or more pages modeled on page formats typically used to store index data for a relational database index. Data associated with a plurality of nodes and edges, each of said edges representing a relationship between two or more of said nodes, may be received. For each node, one or more pages of data may be created, each corresponding to a prescribed page size associated with a storage device in which said one or more pages are to be stored, and each page having a data structure that includes a variable-sized set of fixed length data slots and a variable-sized variable length data region.

Abstract: Methods, non-transitory machine readable media, and computing devices that ensure correctness of file system analytics are disclosed. With this technology, a first generation number for a volume is incremented in response to a modification of a rule set that defines properties of objects of a file system associated with the volume. A determination is made when a second generation number in a first inode for a first one of the objects matches the first generation number. The first inode is identified based on a traversal of a directory tree associated with the file system. The modified rule set is applied to the properties for the first one of the objects to obtain values, when the second generation number fails to match the first generation number. Analytics data is output after the traversal has completed. The analytics data is generated in response to a query and is based on the values.

Abstract: Techniques for shrinking a storage space involve determining a used storage space in a storage pool allocated to a plurality of file systems, and determining a usage level of a storage space in the storage pool based on the used storage space in and a storage capacity of the storage pool. The techniques further involve shrinking a storage space from one or more of the plurality of file systems based on the usage level of the storage pool. Such techniques may automatically shrink storage space in one or more file systems from the global level of the storage pool, which determines an auto shrink strategy according to overall performance of the storage pool, thereby improving efficiency of auto shrink and balancing system performance and saving space.

Abstract: Techniques for ontology linking of unstructured text as a service are described. A service may receive a request to link unstructured text to a standardized ontology, and the service may segment and tokenize the unstructured text and send the result to multiple services implementing multiple deep machine learning models trained to identify particular entities and one or more relationships between entities. The service may perform a search of the standardized ontology to identify a set of similar candidates from the standardized ontology for the detected entities and the one or more relationships, and then rank the set of similar candidates from the standardized ontology according to their similarity to the detected entities within the unstructured text. The output from the service may include a result identifying a highest ranked candidate of the set of similar candidates from the standardized ontology for the detected entities within the unstructured text.

Abstract: Re-Identification of physical objects in an image background is made possible by the use of temporary data objects (i.e., video cookies). Image data including an image object representing a physical object in at least one of a plurality of backgrounds is pre-stored in a database. Identification data for the image object and image background data is extracted from the image object and a comparison is made to determine if the identification data matches identification data in the database. In the event no match is found, a temporary data object is created and stored in the database that links the identification data and the image background data. If an identification data match is found, it is determined whether a temporary data object exists in the database. If no temporary data object exists, one is created and stored in the database. If a temporary data object is determined to exist in the database, it is determined whether the temporary data object fulfills a predetermined condition(s).

Abstract: The disclosed systems and methods are directed for detecting and resolving write-write conflicts among a plurality of transactions received from master nodes of a multi-writer database system. The method includes receiving a plurality of REDO logs and storing the plurality of REDO logs in a buffer, each REDO log associated with the one of the plurality of transactions, selecting one REDO log of the plurality of REDO logs; persisting the transaction associated with the one REDO log in a local storage when a write-write conflict is detected between the one REDO log and at least one other REDO log of the plurality of REDO logs prior to committing the transaction associated with the one REDO log; and transmitting a status of the transaction associated with the one REDO log to a global transaction manager (GTM).

Abstract: A method for receiving a first user query from a user for searching an item, forming a first filter based on the first user query, and forming a first filtered item collection is provided. The method includes predicting a new query based on the first user query and a historical query log, forming a second filter for the new query, and applying the second filter to the first filtered item collection to form a second filtered item collection. Further, associating an item score to each of a plurality of items in the first and second filtered item collections, sorting the plurality of items in the first and second filtered item collections according to the item score associated to each of the plurality of items, and providing, to a user display, an item in the plurality of items in the first or second filtered item collections according to a sorting order.

Abstract: An information processing apparatus is able to access a file storage region which is formed in accordance with job defining information that defines tasks of a job and a file to be created in each of the tasks. The file storage region is formed for each job or each job and each task. A file related to a job or a task is stored in a corresponding file storage region. The information processing apparatus includes a processor which is configured to: obtain job status information concerning a status of each job for which a file storage region is formed; and select, a display element indicating files stored in a first file storage region, a file as a subject file to be displayed, from among the files stored in the first file storage region, in accordance with the status of a first job corresponding to the first file storage region.

Abstract: Disclosed are embodiments for generating metadata files for composite datasets. In one embodiment, a method is disclosed comprising generating a tree representing a plurality of datasets; parsing the tree into an algebraic representation of the tree; identifying a plurality of terms in the algebraic representation, each term in the terms comprising at least two factors, each of the two factors associated with a dataset in the plurality of datasets; generating a metadata object of the plurality of terms; serializing the metadata object to generate serialized terms; and storing the serialized terms in a metadata file associated with the plurality of datasets.

Abstract: Technologies generally described herein relate to a computing device for an input assistance scheme for an online marketplace posting. In one aspect, a computing device receives an input image containing an object to be posted on an online marketplace. In response to receiving the object, the computing device extracts, from the input image, feature data relating to the object. The device performs a search of an image database based on the extracted feature data to determine one or more images containing the object. The computing device obtains information data of the determined images and generates a reference dataset for the object based on the reference dataset.

Abstract: Methods, apparatus, and processor-readable storage media for implementing dual relationship-based hash structures for non-volatile memory technology are provided herein. An example computer-implemented method includes generating a hash storage structure by: creating multiple layers of storage components, wherein a first layers comprise a first number of storage components and at least a second layer comprises at least a second number of storage components less than the first number of storage components; configuring the at least a second layer to share at least a portion of the storage components therein with at least a portion of the storage components in the first layer; partitioning each of the storage components in each of the multiple layers into multiple portions; configuring a respective status value space for each of the multiple portions of each of the storage components in the multiple layers; and implementing the hash storage structure in at least one storage system.

Abstract: Disclosed are systems and methods of querying a hybrid event index of a user. The systems and methods can include receiving a search request pertaining to at least a first namespace of a plurality of namespaces and determining a first index server storing a first portion of the hybrid event index associated with the first namespace. The systems and methods can further include searching, the first portion of the hybrid event index stored at the first index server, determining one or more attributes from the search request, and determining a payload based on the search results of the first portion of the hybrid event index. Finally, the systems and methods can include applying one or more attributes to the payload and sending the filtered payload.

Abstract: A system and method for connecting one or more client applications with one or more knowledge representation servers and communicating there between includes an application programming interface (API) and a hypergraph transfer protocol (HGTP), for facilitating communication between the one or more client applications and one or more knowledge representation servers responsive to a client application request. The client application request includes an API call for a specific entity that is received by a first knowledge representation server. If the first knowledge representation server does not manage the specific entity, the first knowledge representation server forwards the specific entity call to a second knowledge representation server via the HGTP using a universal unique identifier (UUID) associated with the specific entity having encoded therein a network address for the second knowledge representation server.

Abstract: Users may have a variety of photos, but lack a mechanism to organize the photos. For example, a user may desire to access a photo of a child in front of a national monument, but may be unable to locate the photo amongst the photos. Accordingly, a photo query may be generated utilizing a photo query interface populated with a face query attribute (e.g., a proxy icon, a photo of a face, etc.), a face position attribute (e.g., a position of the face query attribute), and/or a location query attribute (e.g., a background of a photo, such as a forest, a monument, etc.) using drag and drop functionality and/or any other query construction functionality. One or more photos having attributes corresponding to the photo query may be identified and provided to the user.

Abstract: A material search system, includes a material search server, including a processor, a non-transitory memory, an input/output, a material library for storing material representations, a material search manager, a machine learner, an image translation model, and a semantic model; and a material search device. Each material representation includes a visual image, a color palette, a structural image, and a semantic structure. Also disclosed is a method of searching a material library and generating output material representations; including performing reverse image, reverse structure, and semantic searches; training image and structural translation models; and training a semantic model.

Abstract: A computer-readable non-transitory physical storage medium having stored thereon machine-executable code for electronically facilitating contact between mutually interested entities, said machine-executable code to be executed by a microprocessor, said machine executable code which when executed by said microprocessor causes the microprocessor to perform operations including suggesting to a first user other users that first user may be interested in, where the suggested other users are filtered based on their location, causing a device to display a graphical user interface (GUI) for the first user to input a rating of the first user's level of interest in one or more respects in at least one other user, accepting the first user's level of interest rating via the GUI while not displaying the first user's rating to the at least one other user, and electronically notifying a pair of users that have rated each other above a threshold level.

Abstract: A system for recommending content for use, by a learner is provided. The system includes a processor in communication with a memory. The memory stores a knowledge base. The processor is configured for identifying a subset of the knowledge base, based on the academic context of the learner and for identifying a first set of content tagged to interlinked nodes of the subset of knowledge base. The processor is configured for identifying a second set of content from the first set of content, based on the behavioral context and the characteristics of the learner. The processor is configured for identifying a learning path for the learner, based on a learning strategy for the learner and a score assigned to a concept. The processor is configured for structuring the identified second set of content for recommending to the learner, based on the identified learning path.