CFinder: An intelligent key concept finder from text for ontology development

作者：

Highlights：

• Proposed an unsupervised method named CFinder to improve effectiveness of key domain concept extraction.

• Proposed a novel method for weighting key concepts using a combination of NLP techniques and various knowledge sources.

• Evaluation of CFinder against three state-of-the-art key concept extractors demonstrated its higher performance.

摘要

•Proposed an unsupervised method named CFinder to improve effectiveness of key domain concept extraction.•Proposed a novel method for weighting key concepts using a combination of NLP techniques and various knowledge sources.•Evaluation of CFinder against three state-of-the-art key concept extractors demonstrated its higher performance.

论文关键词：Key concept extraction,Keyphrase extraction,Domain-specific concept extraction,Ontology development,Ontology learning

论文评审过程：Available online 17 January 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.01.006