Innoplexus Ag

Nikhil Vinod Fulzele

Vatsal Agarwal

Gaurav Tripathi

Arpan Sheetal

Yannik T H Schelske

Mohit Mangal

A system and method for identifying at least one association of an entity. The system includes a processing module and a database arrangement communicably coupled to processing module. The processing module is operable to receive an input comprising data related to the entity; acquire web content related to the received input from a plurality of data sources; filter the acquired web content to obtain information relating to the entity; identify probable associations of the entity from the information relating to the entity using an ontology; determine for each of the probable associations, at least one of: a recency attribute, a frequency attribute, a proximity attribute, a semantics attribute; determine a probability score for each of the probable associations of the entity; and identify the at least one association of the entity from the probable associations, wherein the at least one association corresponds to a highest probability score.

System and method for identifying at least one association of entity

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.

System and method of creating entity records

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.

Method and system for managing associations between entity records

A method and a system for creating entity records. The method includes extracting data records from existing data sources, the data records including entity names and attributes associated therewith; identifying the entity names and attributes corresponding thereto, in each extracted data record; classifying identified entity attributes, based on attribute signatures associated therewith; clustering data records based on similar classified entity attributes and/or similar entity names; comparing entity attributes in clustered data records to identify entity attributes with missing attributes data; assigning representative attributes data to entity attributes with missing attributes data; combining clustered data records to form entity record segments; clustering entity record segments based on similar identity signatures thereof; comparing relevant entity attributes of clustered entity record segments to identify entity record segments having a relation therebetween; and combining related entity record segments to form entity records.

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Nagpur, India

Nikhil Vinod Fulzele