Constructing faceted taxonomy for heterogeneous entities based on object properties in linked data
作者：
Highlights：
• We defined the notions of facet in a faceted taxonomy as well as the concept and its naming strategy for the taxonomy.
• We developed a faceted taxonomy construction algorithm, ICT, based on object properties of instances in Linked Data.
• The experiments show that ICT outperforms FCA-and Subsumption-based method in a single taxonomy construction. (new bullet point) The experiments show a dramatic reduction of the search space with the faceted taxonomy generated.
摘要
•We defined the notions of facet in a faceted taxonomy as well as the concept and its naming strategy for the taxonomy.•We developed a faceted taxonomy construction algorithm, ICT, based on object properties of instances in Linked Data.•The experiments show that ICT outperforms FCA-and Subsumption-based method in a single taxonomy construction. (new bullet point) The experiments show a dramatic reduction of the search space with the faceted taxonomy generated.
论文关键词：Ontology learning,Taxonomy construction,T-Box learning,Faceted taxonomy,Linked data
论文评审过程：Received 26 March 2017, Revised 17 September 2017, Accepted 26 September 2017, Available online 30 September 2017, Version of Record 13 November 2017.
论文官网地址：https://doi.org/10.1016/j.datak.2017.09.006
