Learning concept hierarchies from textual resources for ontologies construction
作者：
Highlights：
• An approach for learning concept hierarchies from textual resources is proposed.
• Subject–verb–object relations are used for identifying nouns.
• A clustering algorithm and linguistic patterns are applied for identifying concepts.
• The Web is used for learning hypernym/hyponym relations between concepts.
• The obtained concept hierarchies can be used for developing ontologies from scratch.
摘要
•An approach for learning concept hierarchies from textual resources is proposed.•Subject–verb–object relations are used for identifying nouns.•A clustering algorithm and linguistic patterns are applied for identifying concepts.•The Web is used for learning hypernym/hyponym relations between concepts.•The obtained concept hierarchies can be used for developing ontologies from scratch.
论文关键词：Ontology learning,Taxonomy,Web search
论文评审过程：Available online 11 May 2013.
论文官网地址：https://doi.org/10.1016/j.eswa.2013.05.005
