Abstract: A processor may assign an indicator to each participant in a blockchain network. The indicator may respectively indicate a role of each participant. The processor may transform the indicator of each participant into respective scores. The respective scores may be directly associated with the role of each participant. The processor may aggregate the respective scores into an endorsement score. The processor may determine if the endorsement score exceeds an endorsement threshold.

Abstract: Methods and systems described herein recite the use of specific data structures for stateful data that include fields for populating with specific information that may be used to prevent and/or minimize the corruption in stateful data. The systems and methods may recite the application of specific data normalization sets that include functions to be applied to test data sets and control data sets, respectively, in order to prevent and/or minimize the corruption. Finally, the methods and systems may recite the determination of incrementality being based on uncorrupted impressions corresponding to test data sets and control data sets, respectively.

Abstract: Systems and methods are described for managing the application of data management actions to one or more data objects in a data store. The systems and methods extract at least a portion of a first set of data objects from a data store to a file, wherein a first data object of the first set of data objects comprises a first set of attributes and a set of data management actions. A second set of data objects is loaded into the data store. A confidence score is generated based on a comparison of the first data object of the first set of data objects and a second data object of the second set of data objects. A determination is made that the confidence score satisfies a condition. In response to the confidence score satisfying the condition, the set of data management actions is applied to the second data object.

Abstract: Provided is a technique for effectively searching for a book for an articulation disordered-child to use in practice. A search condition setting unit 120 sets a search condition for a speech sound in accordance with a selection state of kana symbol buttons disposed in a book search screen, the kana symbol buttons corresponding one-to-one to kana symbols indicating respective speech sounds. A search unit 130 searches for a book in which a desired speech sound appears, in accordance with the search condition. A book search screen includes at least one of a Japanese syllabary button group in which the kana symbol buttons are classified as vowels or consonants, and an articulation button group in which the kana symbol buttons are classified by articulatory organ and articulation manner.

Abstract: An electronic device includes a memory configured to store a plurality of types of user data, and a processor configured to be operatively connected to the memory, wherein the processor is configured to generate an embedding vector through text embedding using first text data which is included in the user data and is related to content of the user data for each type of the user data; calculate a weight for the embedding vector using information which is included in the user data and is related to usability of the user data for each type of the user data; when a query is input, generate a query vector through the text embedding using second text data included in the query; and quantify user interest in the query for each type of the user data based on the embedding vector, the weight for the embedding vector, and the query vector.

Abstract: Systems and methods for providing personalized answers to a user's query using a learned user vocabulary. A natural-language user interface (NLUI) application tracks input terms in user queries and generates responses that incorporate those input terms. The NLUI application may modify stored response templates or may modify a response generated based on stored response templates, by replacing a template term with an input term that has a common definition.

Abstract: A data complementing system stores cell-region characteristic data that includes values of a plurality of data items regarding a cell region that is a region obtained by dividing the region into a mesh, information indicating a missing data item that is the data item of missing data being data missed in the cell-region characteristic data, external region characteristic data that includes values of a plurality of data items regarding an external region that is different from the region, and an external cell-region characteristic data that includes values of a plurality of data items regarding an external cell region obtained by dividing the external region into a mesh, generates a complement model for generating complement data indicating a value of the missing data item based on the external region characteristic data and the external cell-region characteristic data, and generates the complement data based on the complement model.

Abstract: Embodiments provide for predicted data use obligation matching using data differentiators. Example embodiments retrieve a cross-link relationship graph structure from a data repository, where the cross-link relationship graph structure includes a plurality of cross-link relationship graph nodes connected by a plurality of cross-link relationship graph edges. Each cross-link relationship graph node is associated with a unique logical data record set identifier of a plurality of logical data record set identifiers associated with a dataset identifier. For each unique logical data record set identifier, the cross-link relationship graph structure is traversed. Based at least in part on a separation measure associated with each cross-link relationship of one or more cross-link relationships associated with the unique logical data record set identifier, one or more data use obligation scores for the unique logical data record set identifier is generated.

Abstract: Techniques include updating a semantic search function with a custom ontology, the semantic search function initially supporting a separate ontology having been used to enrich a corpus. The custom ontology is used to augment input of a search query for the semantic search function, thereby providing a custom user experience for searching the corpus.

Abstract: Disclosed are various embodiments for providing consistent user content. A first content request is received from a browser. Personalized content is then generated based at least in part on the first content request. The personalized content is returned to the browser and saved in association with the unique device identifier and the session identifier. A second content request is then received from the browser, the second content request including personally identifying information (PII). The saved personalized content is searched and alternative personalized content is then generated using the personally identifying information (PII). An inconsistency between the personalized content and the alternative personalized content is then resolved to generate consistent personalized content. Finally, the consistent personalized content is provided to the browser in response to the second request.

Abstract: The present disclosure provides a data search method, and relates to the field of computer technology. The method includes determining semantic-understanding information corresponding to a received search term by subjecting the search term to semantic understanding; analyzing the semantic-understanding information to obtain timeliness requirement information of the search term; determining an acquisition mode of resource result corresponding to the search term based on the timeliness requirement information of the search term; and obtaining the resource result corresponding to the search term by using the determined acquisition mode. The present disclosure further provides a data search apparatus, a system, a device, and a computer readable storage medium.

Abstract: Methods and systems for simplifying data collected from assets are provided. An example method involves receiving a set of simplified data at a server. The simplified set of data is generated by application of a dataset simplification algorithm on raw data obtained from a data source at an asset upon satisfaction of a data logging trigger, wherein the dataset simplification algorithm causes interpolation error within the simplified set of data to be limited by an upper bound that is fixed across the simplified set of data. The method further involves receiving a request for a status of the asset and interpolating a status of the asset based on the simplified set of data in response to the request.

Abstract: The disclosure herein describes tracking changes to a stale component using a synchronization bitmap. A first component of a plurality of mirrored components of the distributed data object becomes available from an unavailable state, and a stale log sequence number (LSN) and a last committed LSN are identified. A synchronization bitmap of the first component associated with a range of LSNs (e.g., from the stale LSN to the last committed LSN) is created and configured to track changes to data blocks of the first component. A second component is identified based on the second component including a tracking bitmap associated with an LSN that matches the stale LSN of the first component. The first component is synchronized with data from the second component based on, wherein the synchronizing includes updating the synchronization bitmap to track changes made to data blocks of the first component.

Abstract: The present application provides an error correction method and device for search terms. The method comprises: identifying an incorrect search term; calculating weighted edit distances between the search term and pre-obtained hot terms by using a weighted edit distance algorithm, wherein, during the calculation of the weighted edit distances, different weights are set respectively for the following operations of transforming from the search term to the hot terms: an operation of inserting characters, an operation of deleting characters, an operation of replacing by characters with similar appearance or pronunciation, an operation of replacing by characters with dissimilar appearance or pronunciation, and an operation of exchanging characters; and selecting a predetermined number of hot terms based on the weighted edit distances and popularity of the hot terms for error correction prompt. The method and device of the present application can improve the error correction accuracy of error search terms.

Abstract: Systems and methods for identifying content for an input query are presented. A mapping model is trained to map elements of an input query embedding vector for a received query into one or more elements of a destination embedding vector. In response to receiving an input query, an input query embedding vector is generated that projects into an input query embedding space. The input query embedding vector is processed by the mapping model to map the input query embedding vector into one or more elements of a destination embedding vector in a destination embedding space, resulting in a partial destination embedding vector. Items of a corpus of content are projected into the destination embedding space and the partial destination embedding vector is also projected into the destination embedding space. A similarity measure determines the most-similar items to the partial destination embedding vector and at least some of the most-similar items are returned in response to the input query.

Abstract: A system and method for detecting changes in webpages are provided. The method includes creating a snapshot for a webpage addressed by an identifier, wherein the identifier is designated in a received request for detecting changes in the webpage, wherein the created snapshot is a current snapshot of a most recent version of the webpage; retrieving at least one recent snapshot of the webpage, wherein the recent snapshot was created immediately prior to the current snapshot and represents an immediate previous version of the webpage; and comparing the current snapshot to the at least one recent snapshot to detect any changes, wherein the comparison is based on changes in visible elements in the webpage.

Abstract: Devices, systems, and methods for improving results returned from a query. A method can include identify, based on a term embedding of a corpus of terms, expansion terms of a raw query term that are nearest the raw query term, normalize distances between the raw query term and the identified expansion terms, identify, based on the term embedding, expansion term neighbors of an expansion term that are nearest the expansion term; normalize distances between the expansion term and the identified expansion term neighbors, determine a WMA weight between the raw query term and the expansion term, and execute the query with the raw query terms and the expansion terms (determined based on the WMA weight) to generate query results.

Abstract: A system and method to convert source dependent data into source-agnostic data includes extracting, by a processing unit associated with a data transformation application, relevant data from impression data received from a data source to obtain extracted data, cleansing the extracted data for obtaining cleansed data, and converting the cleansed data into source-agnostic data by re-categorizing at least some of the cleansed data. The system and method also include retrievably storing the source-agnostic data as persisted data into a memory associated with the data transformation application, receiving a query via a dashboard associated with the data transformation application to retrieve the persisted data, and displaying a portion of the persisted data that satisfies the query on the dashboard.

Abstract: A method and system for providing accessibility to a visualization graph may include receiving a request to begin navigating the visualization graph, the visualization graph displaying a plurality of items of information, each item of information being displayed as a node and the visualization graph representing a connection between two nodes with a connecting line, identifying a central node in the visualization graph, determining a navigation order for the visualization graph based on at least one of a strength of the connection and a type of the connection between an item of information associated with the central node and items of information associated with non-central nodes, starting to navigate the visualization graph at the central node, continuing to navigate the visualization graph to non-central nodes in accordance with the determined navigation order, and providing an audio output during the navigation to provide accessibility to the visualization graph for visually impaired individuals.

Abstract: A computerized system automatically ensures that data from a data partner has been ethically sourced. The system reviews websites associated with URLs provided by the data provider, and privacy policy data is extracted and captured. A keyword set is used to analyze the privacy terms of websites associated with the URLs. URLs associated with websites that ethically collect data are stored in a URL database, or the URLs are given a flag or score, such that these URLs need not be checked each time a new data partner identifies these URLs as the source of its data. The system may periodically re-check the URLs to ensure that no changes have been made to the corresponding website's data collection practices.