Abstract: A computer-implemented method, system and computer program product for managing relationships between entities in master data management based systems. Record level relationships at an entity level are resolved. Furthermore, a unified view of relationships between entities is determined using composite rules on the underlying resolved record level relationships. Additionally, an anchor member for each linked entity is determined, where the entities are linked together based on the determined unified view of relationships between entities. Furthermore, a record transaction involving creating, updating or deleting a record of an entity linked with another entity is received. The relationship between the linked entities is then validated or invalidated based on an impact of the record transaction with the anchor member of one of the linked entities.

Abstract: A method for receiving an additional dataset including a plurality of additional data records; determining a record type using classifiers and an internal domain knowledge corpus; dividing the plurality of additional data records into a plurality of indexing groups; assigning the given additional data record to a match set based on completeness and similarity of natures of attributes of the given additional data record; and assigning the given additional data record to and a comparison group based on completeness and similarity of natures of attributes of the given additional data record.

Abstract: An approach for tuning a data management system is provided. A processor retrieves one or more samples pairs of record data. A processor determines an error rate regarding the performance of a matching operation of a data management system based on the one or more sample pairs. In response to the error rate being above a value, a processor adjusts at least one threshold value associated with the matching operation of the data management system.

Abstract: A method is disclosed for a database system that includes a set of data blocks comprising records having attributes. The set of data blocks are instances of at least one block type. The block type is defined by a subset of one or more attributes of the attributes. An instance of the block type comprises records having one distinct group of values of the subset of attributes. The method includes detecting that a subset of one or more data blocks of the block type, of the set of data blocks, reached a first maximum number of records. The method includes determining an additional attribute of the attributes to define a new block type by the combination of the additional attribute and the subset of attributes that define the block type. The method includes creating one or more data blocks which are instances of the new block type.

Abstract: Configuring a data management system by receiving user interaction data associated with search results associated with a first system configuration, identifying a usage pattern in the user interaction data using a first machine learning model, and altering the first system configuration according to the usage pattern.

Abstract: A method, a structure, and a computer system for mapping data fields. The exemplary embodiments may include, based on determining that a first data set and a second data set contain homogenous data, mapping at least one column of the first data set to at least one column of the second data set based on comparing at least one of relative column position and unique value sets. Based on determining that the first data set and the second data set contain heterogeneous data, the exemplary embodiments may include mapping the at least one column of the first data set to the at least one column of the second data set based on a difference between distribution signatures of unique value sets within each of the first data set and the second data set being less than a threshold.

Abstract: A method, a structure, and a computer system for event-based record matching. The exemplary embodiments may include extracting one or more events from a first record and a second record, as well as calculating an event-based score based on comparing the one or more events extracted from the first record with the one or more events extracted from the second record. The exemplary embodiments may further include matching the first record to the second record based on the event-based score exceeding a threshold.

Abstract: A method for receiving an additional dataset including a plurality of additional data records; determining a record type using classifiers and an internal domain knowledge corpus; dividing the plurality of additional data records into a plurality of indexing groups; assigning the given additional data record to a match set based on completeness and similarity of natures of attributes of the given additional data record; and assigning the given additional data record to and a comparison group based on completeness and similarity of natures of attributes of the given additional data record.

Abstract: A computer-implemented method for configuring data deduplication is disclosed. The computer-implemented method includes receiving source data. The computer-implemented method further includes analyzing the source data, wherein analyzing the source data includes generating data profiling statistics from the source data and classifying attributes of the source data. The computer-implemented method further includes determining at least one data domain associated with the source data based, at least in part, on the data profiling statistics, the classified attributes, and ontology data. The computer-implemented method further includes determining, for the at least one data domain associated with the source data, a number of required matching algorithms for a data matching engine to execute data deduplication within the source data.

Abstract: Configuring a data management system by receiving user interaction data associated with search results associated with a first system configuration, identifying a usage pattern in the user interaction data using a first machine learning model, and altering the first system configuration according to the usage pattern.

Abstract: A first score associated with matching between entity records of a plurality of entities of master data of an MDM system is received. A set of entity records with a first score above a lower threshold score and below an upper threshold score is identified as unresolved; neither confirmed as matched or unmatched. A second score associated with relationships between entity records is generated. Overall scores for pairs of the set of entity records are determined by combining the first matching score with the second relationship score. The overall score of respective pairs of the set of entities is compared to the upper threshold, and if the upper threshold is exceeded, then the information of the pair of entity records of the set of entity records are combined into a single record, and redundant entity records are removed from the MDM system.

Abstract: An approach for tuning a data management system is provided. A processor retrieves one or more samples pairs of record data. A processor determines an error rate regarding the performance of a matching operation of a data management system based on the one or more sample pairs. In response to the error rate being above a value, a processor adjusts at least one threshold value associated with the matching operation of the data management system.

Abstract: Analyzing entity matching systems by determining autolink (AL) and clerical review (CR) threshold values according to record pair compare method scores, defining a score region of interest adjacent to at least one of the AL or CR thresholds, identifying anomalous pairs in at least one region of interest, and providing at least one anomalous record pair to a user for review.

Abstract: A first score associated with matching between entity records of a plurality of entities of master data of an MDM system is received. A set of entity records with a first score above a lower threshold score and below an upper threshold score is identified as unresolved; neither confirmed as matched or unmatched. A second score associated with relationships between entity records is generated. Overall scores for pairs of the set of entity records are determined by combining the first matching score with the second relationship score. The overall score of respective pairs of the set of entities is compared to the upper threshold, and if the upper threshold is exceeded, then the information of the pair of entity records of the set of entity records are combined into a single record, and redundant entity records are removed from the MDM system.

Abstract: The present disclosure relates to a method for a secure storage, matching and linking of data records. The method comprises: receiving a current data record having one or more attributes, each attribute having an attribute value. For each attribute of at least part of the attributes a predefined set of variations of the attribute value of the attribute may be generated. The received attribute values may be encrypted resulting in an encrypted record and the generated sets of variations may be encrypted. The encrypted record may be stores in a storage system in association with the respective encrypted sets of variations.

Abstract: A method is disclosed for a database system that includes a set of data blocks comprising records having attributes. The set of data blocks are instances of at least one block type. The block type is defined by a subset of one or more attributes of the attributes. An instance of the block type comprises records having one distinct group of values of the subset of attributes. The method includes detecting that a subset of one or more data blocks of the block type, of the set of data blocks, reached a first maximum number of records. The method includes determining an additional attribute of the attributes to define a new block type by the combination of the additional attribute and the subset of attributes that define the block type. The method includes creating one or more data blocks which are instances of the new block type.

Abstract: An approach for accessing multi-attribute data records of a master data management system. The method comprises: enhancing the master data management system with one or more search engines for enabling data record access. A request of data may be received at the master data management system. A set of one or more of the multiple attributes, referenced in the received request, may be identified. A combination of one or more of the search engines of the master data management system, whose performances for searching values of at least part of the set of attributes fulfil a current selection rule may be selected. And, the request may be processed using the combination of search engines. At least part of the results of the processing may be provided, and the selection rule may be updated based on user operations on the provided results, the updated selection rule becoming the current selection rule.

Abstract: The present disclosure relates to a method for a secure storage, matching and linking of data records. The method comprises: receiving a current data record having one or more attributes, each attribute having an attribute value. For each attribute of at least part of the attributes a predefined set of variations of the attribute value of the attribute may be generated. The received attribute values may be encrypted resulting in an encrypted record and the generated sets of variations may be encrypted. The encrypted record may be stores in a storage system in association with the respective encrypted sets of variations.