Invention Grant
- Patent Title: Combining semantic relationship information with entities and non-entities for predictive analytics in a cognitive system
-
Application No.: US15971207Application Date: 2018-05-04
-
Publication No.: US11269929B2Publication Date: 2022-03-08
- Inventor: William S. Spangler , Richard L. Martin , David Martinez Iraola , Daniel Pierce , Sheng Hua Bao , Meenakshi Nagarajan , Michael D. Pfeifer
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Edell, Shapiro & Finnan, LLC
- Main IPC: G06F17/30
- IPC: G06F17/30 ; G06F16/28 ; G06N5/02 ; G06F16/901 ; G16B50/00 ; G06F40/30

Abstract:
According to embodiments of the present invention, methods, systems and computer readable media are provided, in a cognitive data processing system, for implementing a predictive analytics system that utilizes entity and non-entity information. A collection of content is processed to extract defined entities pertaining to one or more domains. Semantic relationships are determined between objects within the collection of content, wherein the objects include undefined entities. The defined entities and objects are resolved based on entity definitions and the semantic relationships to determine defined entities and undefined entities for a resulting data set. The resulting data set is processed to identify one or more relationships between a defined entity and an undefined entity.
Public/Granted literature
Information query