US 11,726,840 B2
Flexible and scalable artificial intelligence and analytics platform with advanced content analytics and data ingestion
Norddin Habti, Montreal (CA); Steve Pettigrew, Montreal (CA); Martin Brousseau, Mont-Saint-Hilaire (CA); and Lalith Subramanian, San Mateo, CA (US)
Assigned to Open Text SA ULC, Halifax (CA)
Filed by OPEN TEXT SA ULC, Halifax (CA)
Filed on Mar. 7, 2019, as Appl. No. 16/296,015.
Claims priority of provisional application 62/639,899, filed on Mar. 7, 2018.
Prior Publication US 2019/0279101 A1, Sep. 12, 2019
Int. Cl. G06F 16/20 (2019.01); G06F 9/54 (2006.01); G06F 16/27 (2019.01); G06N 20/00 (2019.01); G06F 16/22 (2019.01); G06F 16/25 (2019.01); G06F 16/2455 (2019.01); G06F 16/84 (2019.01); G06N 5/04 (2023.01)
CPC G06F 9/541 (2013.01) [G06F 16/221 (2019.01); G06F 16/2456 (2019.01); G06F 16/252 (2019.01); G06F 16/27 (2019.01); G06F 16/84 (2019.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A system, comprising:
a processor;
a non-transitory computer-readable medium; and
stored instructions translatable by the processor for implementing a text mining engine within a first subsystem, the text mining engine configured for ingesting, through a content ingestion pipeline, disparate contents obtained or received by disparate crawlers through real-time data feeds from disparate content sources, the ingesting the disparate contents comprising:
inferring semantic metadata from the disparate contents;
dynamically mapping the semantic metadata to an internal ingestion pipeline document, the internal ingestion pipeline document conforming to a uniform mapping schema that defines a set of master metadata of interest that can be captured in the internal ingestion pipeline document, wherein the dynamically mapping captures the semantic metadata or a portion thereof in the internal ingestion pipeline document in accordance with the uniform mapping schema; and
mapping the semantic metadata or the portion thereof captured in the internal ingestion pipeline document to metadata tables in a central repository to thereby persist the semantic metadata or the portion thereof in the central repository, the metadata tables conforming to a single common data model of the central repository, the metadata tables accessible by a second subsystem configured for providing a Web service to a client device.