Abstract: Generating a neural network model for producing explainable prediction outputs for input data samples is provided. Training dataset of data samples are provided, each having a prediction label indicating a desired prediction output from the model for that sample, and a set of concept vectors are defined comprising a plurality of concept vectors which are associated with respective predefined concepts characterizing information content of the data samples. A set of input vectors are produced from each data sample. A neural network model is trained that includes a cross-attention module for producing a sample embedding for a data sample and a prediction module for producing a prediction output from the sample embedding.

Abstract: A system and a method for determining a similarity between a first string and a second string. A sequence of edit operations are performed on the first string in order to obtain the second string may be determined. The edit operation is of a first type or a second type. The first type operation comprises a character insertion operation or character removal operation. The second type operation comprises a character maintenance operation. The first type edit operation is associated with an operation score indicative of a cost for applying the edit operation. The first type edit operation is associated with a switching score indicative whether it is immediately followed by a second type edit operation. The switching scores and/or operation scores associated with the sequence of edit operations are combined in order to obtain a combined score that is indicative of the similarity level between the first and second strings.

Abstract: A system and a method for determining a similarity between a first string and a second string. A sequence of edit operations are performed on the first string in order to obtain the second string may be determined. The edit operation is of a first type or a second type. The first type operation comprises a character insertion operation or character removal operation. The second type operation comprises a character maintenance operation. The first type edit operation is associated with an operation score indicative of a cost for applying the edit operation. The first type edit operation is associated with a switching score indicative whether it is immediately followed by a second type edit operation. The switching scores and/or operation scores associated with the sequence of edit operations are combined in order to obtain a combined score that is indicative of the similarity level between the first and second strings.

Abstract: The present disclosure relates to a method for enabling a processing of a dataset of records having a set of attributes. The method comprises: selecting a first attribute of the set of attributes and a subset of one or more second attributes of the set of attributes. Distinct values of the subset of second attributes may be determined from the dataset. For each distinct value of the determined distinct values records of the dataset that have said each distinct value may be identified, and a group of words may be formed from values of the first attribute of the identified records. Distinct word sequences may be identified in the formed groups and a level of presence of each word sequence of the word sequences in each of the formed groups may be determined. At least part of the levels of presence may be provided as metadata.

Abstract: A computer-implemented method and a related system for record linkage of an incoming record to a reference data set may be provided. The method comprises providing a reference data set comprising a plurality of records, each record comprising a plurality of attributes. The method comprises further assigning each of the plurality of records an initial surrogate identifier value, assigning a plurality of block identifiers to each of the records by applying a locality sensitive hashing function to a predefined attribute of the records, resulting in the plurality of the block identifiers, and determining a final surrogate identifier value to each of the records assigned to one of the blocks such that the final surrogate identifier values in each block are uniformly distributed.

Abstract: Computer-implemented methods, computer program products, and computer systems for training of an explaining machine-learning model is disclosed. The computer-implemented method may include one or more processors configured for providing an untrained machine-learning model, providing training data for the machine-learning model comprising training input data elements, wherein each of the training input data elements relates to a prediction label representing an expected prediction value as well as to a concept label, wherein the concept label relates to a reason why the expected prediction label is expected given the training input data elements, and simultaneously updating, during a supervised training of the machine-learning model, prediction parameter values as well as concept parameter values, thereby building the explaining machine-learning model.

Abstract: A server system includes a database for storing data, a memory device for storing data selected from the data in the database, and a processing device that selects data from the database, stores the selected data in the memory device, and transmits over a communication network an availability signal to a client, the availability signal including an identifier of the selected data and indicating that the selected data is stored in the memory device and is available to be accessed by the client.

Abstract: A knowledge graph embedding method, system, and computer program product using a computing device to embed a knowledge graph using a graph convolutional network, the method including learning, by the computing device, an embedding of the knowledge graph that includes entities, relations, and edges, weighing, by the computing device, initial feature vectors of nodes and a convolutional layer output to compute a weight and modifying the embedding based on the weight, and using, by the computing device, the modified embedding to perform a task related to the knowledge graph.

Abstract: The present disclosure relates to a method for enabling a processing of a dataset of records having a set of attributes. The method comprises: selecting a first attribute of the set of attributes and a subset of one or more second attributes of the set of attributes. Distinct values of the subset of second attributes may be determined from the dataset. For each distinct value of the determined distinct values records of the dataset that have said each distinct value may be identified, and a group of words may be formed from values of the first attribute of the identified records. Distinct word sequences may be identified in the formed groups and a level of presence of each word sequence of the word sequences in each of the formed groups may be determined. At least part of the levels of presence may be provided as metadata.

Abstract: A given query entity of a query database and a set of reference entities from a master database are accessed; each entity accessed corresponds to an entry in a respective database, which is mapped to a set of words that are decomposed into tokens. For each reference entity, a closest token is identified therein for each token of the given query entity, via a given string metric. A number of closest tokens are thus respectively associated with highest scores of similarity between tokens of the query entity and tokens of each reference entity. An entity similarity score is computed based on said highest scores. A reference entity of the master database is identified, which is closest to said given query entity, based on the entity similarity score. Records of the given query entity are linked to records of the master database, based on the closest reference entity identified.

Abstract: A computer-implemented method and a related system for record linkage of an incoming record to a reference data set may be provided. The method comprises providing a reference data set comprising a plurality of records, each record comprising a plurality of attributes. The method comprises further assigning each of the plurality of records an initial surrogate identifier value, assigning a plurality of block identifiers to each of the records by applying a locality sensitive hashing function to a predefined attribute of the records, resulting in the plurality of the block identifiers, and determining a final surrogate identifier value to each of the records assigned to one of the blocks such that the final surrogate identifier values in each block are uniformly distributed.

Abstract: A server system includes a database for storing data, a memory device for storing data selected from the data in the database, and a processing device that selects data from the database, stores the selected data in the memory device, and transmits over a communication network an availability signal to a client, the availability signal including an identifier of the selected data and indicating that the selected data is stored in the memory device and is available to be accessed by the client.

Abstract: A computer implemented method includes storing data in a server, selecting a block of data from the stored data, storing the selected block of data in a cache memory of the server, and transmitting a block availability signal to a client, the block availability signal including an identifier of the selected block of data and indicating that the selected block of data is stored in the cache memory and is available to be accessed by the client.

Abstract: A given query entity of a query database and a set of reference entities from a master database are accessed; each entity accessed corresponds to an entry in a respective database, which is mapped to a set of words that are decomposed into tokens. For each reference entity, a closest token is identified therein for each token of the given query entity, via a given string metric. A number of closest tokens are thus respectively associated with highest scores of similarity between tokens of the query entity and tokens of each reference entity. An entity similarity score is computed based on said highest scores. A reference entity of the master database is identified, which is closest to said given query entity, based on the entity similarity score. Records of the given query entity are linked to records of the master database, based on the closest reference entity identified.

Abstract: A computer implemented method includes storing data in a server, selecting a block of data from the stored data, storing the selected block of data in a cache memory of the server, and transmitting a block availability signal to a client, the block availability signal including an identifier of the selected block of data and indicating that the selected block of data is stored in the cache memory and is available to be accessed by the client.

Abstract: A method and system for transmitting data including pieces of data. The method includes the steps of: placing a piece of data on at least one cache memory; and sending a signal indicating a presence of the piece of data on the cache memory to at least one client, where at least one of the steps is carried out by a computer device.

Abstract: A method and system for transmitting data including pieces of data. The method includes the steps of: placing a piece of data on at least one cache memory; and sending a signal indicating a presence of the piece of data on the cache memory to at least one client, where at least one of the steps is carried out by a computer device.

Abstract: A method for allowing an operating system (OS), to access an encrypted data storage system of a computer, wherein: the data storage system comprises: a partition; and first encrypted data units that comprise partition table data of said data storage system; and said computer is connectable to an external device comprising: a boot loader for an external OS that is not installed on the computer; and partitioning information capturing an expected location of said partition in the data storage system; and wherein second encrypted data units that comprise reference partition table data for said data storage system are available from said computer or said external device, the method comprising: upon connection of said external device to the computer, instructing to boot the computer from said boot loader; and during or after booting of the computer: comparing the first and second encrypted data units; and if the first and second encrypted data units match, allow the external OS to access, based on the partitioning

Abstract: The present invention is notably directed to a method for allowing an operating system, or OS, to access an encrypted data storage system of a computer (10), wherein: the data storage system (11) comprises: a partition (122); and first encrypted data units (120) that comprise partition table data of said data storage system; and said computer (10) is connectable to an external device (20) comprising: a boot loader (24) for an external OS (112) that is not installed on the computer; and partitioning information (22) capturing an expected location of said partition (122) in the data storage system; and wherein second encrypted data units (220) that comprise reference partition table data for said data storage system are available from said computer (10) or said external device, the method comprising: upon connection (S21) of said external device (20) to the computer, instructing to boot (S23) the computer (10) from said boot loader (24); and during or after booting of the computer: comparing (S25) the first (12

Abstract: Methods and apparatus are provided for provisioning an operating system image from a server (2) to an untrusted user terminal (4) via a data communications network (3). A trusted device (5) such as a pocket USB device has tamper-resistant storage (9) containing bootloader logic, for controlling booting of a user terminal, and security data. On connection of the trusted device (5) to an untrusted user terminal (4), the user terminal is booted via the bootloader logic on the trusted device. Under control of the bootloader logic, a connection is established to the server (2) via the network (3) and the server is authenticated using the security data on the trusted device (5). An operating system boot image is received from the server (2) via this connection. The boot image is used to provision an operating system image from the server (2) to the user terminal (4) for execution of the operating system at the user terminal (4).