Invention Application
US20120011073A1 Knowledge Extraction Methodology for Unstructured Data Using Ontology-Based Text Mining
有权
使用基于本体的文本挖掘的非结构化数据的知识提取方法
- Patent Title: Knowledge Extraction Methodology for Unstructured Data Using Ontology-Based Text Mining
- Patent Title (中): 使用基于本体的文本挖掘的非结构化数据的知识提取方法
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Application No.: US12832142Application Date: 2010-07-08
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Publication No.: US20120011073A1Publication Date: 2012-01-12
- Inventor: Dnyanesh Rajpathak
- Applicant: Dnyanesh Rajpathak
- Applicant Address: US MI Detroit
- Assignee: GM GLOBAL TECHNOLOGY OPERATIONS, INC.
- Current Assignee: GM GLOBAL TECHNOLOGY OPERATIONS, INC.
- Current Assignee Address: US MI Detroit
- Main IPC: G06Q10/00
- IPC: G06Q10/00 ; G06F17/30

Abstract:
A method is provided for extracting data from service repair verbatims in a vehicle service reporting system. Each service repair verbatim includes a technician's comments concerning a part, a symptom associated with the part, and a repair action associated with the symptom. Each service repair verbatim includes information relating to an identified problem with at least one vehicle part. A diagnostic and prognostic ontology database is provided that is structured by vehicle part classification, a vehicle part sub-class classification, and a relationship classification, wherein the relationship classification includes symptom relationships and action relationships. Each of the service repair verbatims are reconstructed utilizing the diagnostic and prognostic ontology database. Combinations of information are extracted from the reconstructed service repair verbatims as a function of user input criteria. A frequency is determined of each combination extracted in the reconstructed service repair verbatims. The service repair verbatims are clustered for each combination.
Public/Granted literature
- US08489601B2 Knowledge extraction methodology for unstructured data using ontology-based text mining Public/Granted day:2013-07-16
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