Use of a domain-specific ontology to support automated document categorization at the concept level: Method development and evaluation

作者：

Highlights：

• A concept-based method incorporates an ontology to support text categorization.

• This proposed method addresses limitations of feature-based text categorization.

• A concept-based representation reduces feature space and makes results more interpretable.

• Evaluation results show it outperforms feature-based kNN and semantic-based techniques.

摘要

•A concept-based method incorporates an ontology to support text categorization.•This proposed method addresses limitations of feature-based text categorization.•A concept-based representation reduces feature space and makes results more interpretable.•Evaluation results show it outperforms feature-based kNN and semantic-based techniques.

论文关键词：Automated document categorization,Ontology-based text categorization,Knowledge management,Domain-specific ontology,K-nearest neighbors

论文评审过程：Received 29 April 2020, Revised 28 September 2020, Accepted 3 February 2021, Available online 10 February 2021, Version of Record 7 March 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114681