An ontology based text mining system for knowledge discovery from the diagnosis data in the automotive domain

•An ontology based text mining system is proposed to handle millions of unstructured repair verbatim in automotive industry.•Three novel components are developed in the proposed system – document annotation, semantic extractor, and frequently co-occurring term based clustering algorithm.•The best pr...

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Bibliographic Details
Published in:	Computers in industry Vol. 64; no. 5; pp. 565 - 580
Main Author:	Rajpathak, Dnyanesh G.
Format:	Journal Article
Language:	English
Published:	Kidlington Elsevier B.V 01.06.2013 Elsevier Elsevier Sequoia S.A
Subjects:	Algorithms Applied sciences Artificial intelligence Automobile industry Automotive Clustering Computer science; control theory; systems Data mining Data processing. List processing. Character string processing Exact sciences and technology Fault diagnosis Information systems. Data bases Knowledge discovery Mechanical engineering. Machine design Memory organisation. Data processing Ontology Software Speech and sound recognition and synthesis. Linguistics Studies Text mining Text mining Fault diagnosis Ontology Clustering Automotive Textual data Performance evaluation Motor car Keyword Cluster Matrix factorization Text Data mining Annotation Classification World wide web Database Knowledge discovery Anomaly Internet Repair Fault diagnostic
ISSN:	0166-3615, 1872-6194
Online Access:	Get full text
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