Abstract: A system and method for entity normalization and disambiguation. The system includes a processor configured to extract entity records pertaining to plurality of entities from one or more data sources; identify connections between the entity records based on common attributes between the entity records; generate a knowledge graph including nodes and edges; determine embeddings of each of the plurality of entity records in a vector space based on meta information and similarities between meta information; determine embeddings of each of the plurality of entity records based on the knowledge graph; determine a proximity score between embeddings of two given entity records in the vector space; and disambiguate the two given entity records using a trained supervised model in an event the proximity score is higher than a predefined threshold.

Abstract: A system that creates entity records, wherein the system includes a computer system. The system includes: a database arrangement operable to store existing data sources and a processing module communicably coupled to the database arrangement. The processing module is operable to receive unstructured data from existing data sources; structure the unstructured data to obtain data-records, wherein the data-records comprise entity names and entity attributes associated with the entity names; bucket data-records into one or more buckets based on similar entity attributes thereof; create intermediate clusters including at least one of the one or more buckets based on a pattern recognition algorithm; calculate a prediction probability score associated with each of the data-records within the intermediate clusters; combine the data-records from the intermediate clusters to obtain an entity-record, wherein the combined data-records include a prediction probability score higher than a predefined threshold.

Abstract: A method and system for managing associations between entity records. The method includes: identifying a first plurality of entity records in at least one curated database, associations between the first plurality of entity records based on at least one entity attribute and associations between entity attributes of the first plurality of entity records; extracting data records from existing data sources, wherein the data records comprise entity names and entity attributes associated with the entity names; identifying the entity names, and entity attributes corresponding to each of the entity names in each of the extracted data records; clustering the entity names and corresponding entity attributes to create a second plurality of entity records; and identifying associations between the second plurality of entity records based on the identified associations between the first plurality of entity records and/or identified association between entity attributes of the first plurality of entity records.

Abstract: A method and a system for creating entity records.

Abstract: A system that creates entity records, wherein the system includes a computer system. The system includes: a database arrangement operable to store existing data sources and a processing module communicably coupled to the database arrangement. The processing module is operable to receive unstructured data from existing data sources; structure the unstructured data to obtain data-records, wherein the data-records comprise entity names and entity attributes associated with the entity names; bucket data-records into one or more buckets based on similar entity attributes thereof; create intermediate clusters including at least one of the one or more buckets based on a pattern recognition algorithm; calculate a prediction probability score associated with each of the data-records within the intermediate clusters; combine the data-records from the intermediate clusters to obtain an entity-record, wherein the combined data-records include a prediction probability score higher than a predefined threshold.

Abstract: A method and system for managing associations between entity records. The method includes: identifying a first plurality of entity records in at least one curated database, associations between the first plurality of entity records based on at least one entity attribute and associations between entity attributes of the first plurality of entity records; extracting data records from existing data sources, wherein the data records comprise entity names and entity attributes associated with the entity names; identifying the entity names, and entity attributes corresponding to each of the entity names in each of the extracted data records; clustering the entity names and corresponding entity attributes to create a second plurality of entity records; and identifying associations between the second plurality of entity records based on the identified associations between the first plurality of entity records and/or identified association between entity attributes of the first plurality of entity records.

Abstract: A method and a system for creating entity records.