Automatic Ontology Learning from Domain-specific Short Unstructured Text Data

• DOI: 10.5220/0009980100290039
• Publication Date: 2020-11-11T03:04:36Z
• Authors: Yiming Xu; Dnyanesh Rajpathak; Ian Gibbs; Diego Klabjan
• Keywords: Unstructured data; Ontology learning

Ontology learning is a critical task in industry, dealing with identifying and extracting concepts captured text data such that these can be used different tasks, e.g. information retrieval. non-trivial due to several reasons limited amount of prior research work automatically learns domain specific ontology from data. In our work, we propose two-stage classification system learn an unstructured We first collect candidate concepts, which are classified into irrelevant collocates by classifier. The the classifier further second concept types. proposed deployed as prototype at company its performance validated using complaint repair verbatim collected automotive industry sources.