Invention Grant
- Patent Title: Automatically linking text to concepts in a knowledge base
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Application No.: US14657343Application Date: 2015-03-13
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Publication No.: US10162883B2Publication Date: 2018-12-25
- Inventor: Michele M. Franceschini , Luis A. Lastras-Montano , Livio B. Soares , Mark N. Wegman
- 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: Cantor Colburn LLP
- Agent William Stock
- Main IPC: G06F17/30
- IPC: G06F17/30 ; G06N5/00 ; G06N5/02 ; G06F17/22

Abstract:
According to an aspect, automatically linking text to concepts in a knowledge base using differential analysis includes receiving a text string and selecting, based on contents of the text string, a plurality of data sources that correspond to concepts in the knowledge base. In a further aspect, automatically linking the text to the concepts includes calculating, for each of the selected data sources, a probability that the text string is output by a language model built using the selected data source, calculating a probability that the text string is output by a generic language model, calculating link confidence scores for each concept based on a differential analysis of the probabilities, and creating a link from the text string to one of the concepts in the knowledge base. The creating is based on a link confidence score of the concept being more than a threshold value away from a prescribed threshold.
Public/Granted literature
- US20160012336A1 AUTOMATICALLY LINKING TEXT TO CONCEPTS IN A KNOWLEDGE BASE Public/Granted day:2016-01-14
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