Abstract: A novel technique for matching, merging, and combining a new database record with a master database record is described herein. The technique uses specific fields to compare in a unique exact match and fuzzy match combination to determine if a non-exact matching record pair is indeed a matched pair. Once the match is established, the records are merged or combined to utilize the best information from the two records.

Abstract: Systems, methods, and computer-readable storage media for building knowledge graphs which map the aspects of entities, then transforming the graphs into vectors for a similarity comparison. The resulting vectors can be used to identify skills and competencies of individuals, which the system uses to compare those individuals to others. The system can then quantify who would make for a good replacement for a given individual and make an associated recommendation.

Abstract: A file organization system includes a container for renaming files added thereto, the container having a file naming convention by which the files are named. The container may generate a log file to store information regarding the history of the files, for example, their previous file names, current file names, previous locations, current file location, the dates when the file was renamed or moved, etc. which may help identify and track the files.

Abstract: The invention relates to a search term recommendation method and system based on a multi-branch tree. The method comprise that steps that: A, a multi-branch tree term chain data generation process: splitting each hot term into a plurality of independent words, generating a term chain according to the sequence of the words from first to last in the hot term, each word is a node in the term chain, and nodes corresponding to the same word in different term chains are used as public nodes to generate multi-branch tree term chain data; B, a search term recommendation process: searching multi-branch tree term chain data accord to that currently input terms, taking a term chain that matches the inputted words as a recommended term.

Abstract: Methods, non-transitory machine readable media, and computing devices that provide more efficient hierarchical propagation in tree structures are disclosed. With this technology, a first delta record for a first interior node is created optionally in an atomic transaction along with updating a first tally record for a leaf node based on a first value. The transaction is in response to an action associated with the leaf node and the first interior node is a parent of the leaf node in a hierarchical tree. A timer associated with the first delta record is then set. A second value is updated in a second tally record for the first interior node based on the first value, when the timer has expired. Accordingly, this technology advantageously maintains recursive properties or values throughout a hierarchical tree continually, with reduced cost, even in a distributed network and in hierarchical trees with large numbers of nodes.

Abstract: Processes for quantifying user intent for prioritizing which keywords to use to rank a web page for search engine queries are disclosed. By assessing the intent of a keyword through the observation of returned search results and search result page features, one can determine how a search engine understands that keyword. This allows for adjustment of keyword selection and content curation to satisfy the intent the search engine is looking for.

Abstract: A computer-implemented method and a content characterization system (CCS) for dynamically characterizing a website rendered in one or more of a plurality of languages are provided. The CCS receives website data, analyzes it for characterization of the website, and generates multiple structured data objects with a core object that the CCS connects with the website. When changes are made to the website, the CCS dynamically incorporates the changes into the structured data objects connected with the core object. When a search query is received from a querying network entity, the CCS communicates relevant structured data objects to the querying network entity to answer the query optimally, thereby providing an optimal characterization of the website.

Abstract: Exemplary embodiments of the present disclosure provide a method and apparatus for managing a knowledge base, a device and a computer readable storage medium. The method for managing a knowledge base includes: forking, in response to receiving a request for modification of a rule for a first namespace, the rule to the first namespace, the rule being used to constrain structured data in a knowledge base; modifying, based on the request for modification of the rule, the rule in the first namespace; and adding the modified rule to a rule base associated with the knowledge base.

Abstract: An electronic device includes a memory; and a processor configured to: store metadata received from a plurality of data sources, respectively, in the memory; obtain first information corresponding to a preset attribute from among attribute information comprised in first metadata received from a first data source from among the plurality of data sources; obtain second information corresponding to the preset attribute from among attribute information comprised in second metadata received from a second data source; and map, based on the first metadata and the second metadata being identified as metadata on a content based on a similarity between the first information and the second information, an integrated metadata generated based on the first metadata and the second metadata to the content and store the integrated metadata generated based on the first metadata and the second metadata in the memory.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content providing, searching and/or hosting systems supported by or configured with devices, servers and/or platforms. The disclosed systems and methods provide a novel framework that automatically and bi-directionally enables applications and devices to upload and access files from remote locations on a network, while synchronizing the stored files for access from the various applications, devices and locations. The disclosed framework enables files sharing and file synchronization between location to location, cloud to cloud, network to network, device to device, location to cloud and vice-versa, and some combination thereof. The disclosed synchronization framework is a cloud-based multi-tenant infrastructure that securely, efficiently and accurately hosts shared files for administrative, read/write and/or read only access from devices, locations and applications with access to the associated drive(s) in/on the cloud.

Abstract: A system using edge computing is enabled to efficiently acquire data of an acquisition target without fail. A data search server KSV includes an industry information table 221 which stores an edge ID of an edge server operated and managed by a company/body, the edge ID being correlated with an industry ID which identifies an industry, and an ID of the company/body belonging to the industry. When a data acquisition request designating the industry ID is received from a user terminal, edge servers correlated with the designated industry ID are searched from the industry information table 221, and sensing data is acquired from the searched edge servers and transmitted to the user terminal of the source of the request. Menu screen information is sent from the data search server KSV to the user terminal, and displayed, and a user is enabled to select an industry on the menu screen.

Abstract: A method for training system to perform text-based search among plurality of documents. The method including receiving starting document, having at least one reference-identifier associated with the document; selecting reference-text from starting document; generating search-string by using a plurality of keywords using at least one first machine learning algorithm and at least one search-operator using at least one second machine learning algorithm; performing search among plurality of documents using search-string to fetch set of relevant documents; deriving reference-identifier distribution, corresponding to the at least one reference-identifier associated with document, for the set of relevant documents; and corelating at least one reference-identifier associated with starting document with reference-identifier distribution to determine performance-score for system.

Abstract: A network function is implemented using cloud native architecture. The network function utilizes one or more loosely coupled and independently deployable microservice instances to perform services. To retain state between independent transactions, a microservice instance takes a soft lock on state data in an external database. The soft lock makes the state data unavailable except to the microservice instance. After the microservice instance completes the transaction, the microservice instance clears the lock so that the state data is available for use by other microservices.

Abstract: Exemplary systems, methods, and apparatuses dynamically assign nodes to a group within blockchains based on transaction type and node intelligence using Distributed Ledger Technology (DLT) in conjunction with a cloud based computing environment. The exemplary system operates a blockchain interface to the blockchain on behalf of a plurality of tenants of the host organization, creates a consensus group on the blockchain and associates the consensus group with a specific transaction type for transactions to be processed via the blockchain. The system further assigns participating nodes to the consensus group and grants increased weight consensus voting rights to the consensus group.

Abstract: A method and server for ranking digital documents for a query are disclosed. T server hosts a search engine associated with an inverted index. The method includes accessing inverted index for retrieving query-independent data for a first document-term pair and a second document-term pair, where the query-independent data is indicative of (i) a term-specific occurrence of the first term in content of the document and (ii) a term-specific occurrence of the second term in the content of the document. The method includes generating a query-dependent feature using the query-independent data and which is indicative of a group occurrence of the first term with the second term in the content of the document. The method includes generating a ranking feature for the given document based on at least the first term, the second term, and the query-dependent feature, and ranking the given document based on at least the ranking feature.

Abstract: A search and retrieval data processing system for retrieving classified data for execution against a cyber-security logic rules includes one or more hardware processors and memory, networked to communicably couple through a secure connection to a classified data database, the classified data database including an aggregated plurality of classified data records captured from a plurality of classified data sources; and the memory in communication with the processor, the memory storing an execution environment and the execution environment including an input port for receiving, from an entity, data associated with requested operations; a search engine for searching the classified data records of the classified database; and a logic execution module.

Abstract: Embodiments include systems and method for performing state driven bi-directional synchronization in a reflection database architecture. A set of changes to a series of data fields can be received at a first database, the set of changes being part of a first process flow. The first database can be a reflection of a second database over a partition. State driven synchronization can be performed by a bi-directional synchronization engine for at least a portion of the series of data fields between the first database and the second database. The bi-directional synchronization engine can be configured to bi-directionally synchronize data between the first database and the second database based at least in part on detecting a boundary state at one or more of the first database and the second database.

Abstract: An asset stored on a storage device of a computer system is detected to be omitted from an asset-specific access policy. Using a utilization history of the asset, a criticality of the asset is scored, generating a first criticality score for the asset. Using the first criticality score, the asset is classified into a policy category. A selected access policy selected from a set of access policies assigned to a set of assets in the policy category is applied to the asset, the selected access policy specifying an access restriction of the asset.

Abstract: A device searches for an anonymization of a data set using a heuristic search. The device receives a generalization lattice and one or more scoring functions. The device further can include selecting a start node in the generalization lattice. For each of the one or more scoring functions, the device can further include computing a path the generalization lattice from the start node that traverses the generalization lattice. In addition, the device can include determining an optimal path node from each of the one or more paths. Furthermore, the method can include selecting an optimal node from the one or more optimal path nodes.

Abstract: Methods, apparatus, and processor-readable storage media for block-level classification of unstructured data are provided herein. An example apparatus includes a host device comprising a processor coupled to memory, the host device being configured to communicate over a network with a storage system, and further being configured to: obtain a pointer to a page cache associated with an input-output operation for at least one page of unstructured data of a file; obtain an index node object of the file based at least in part on the pointer to the page cache; derive at least one characteristic of the file based at least in part on the obtained index node object; and provide an indication of the at least one characteristic to the storage system. The storage system determines whether to apply one or more functions to the unstructured data based on the indication.