A learning-based ontology alignment approach using inductive logic programming
作者：
Highlights：
• A new approach to find ontology mapping using inductive logic programming.
• The ability to use background knowledge, as an input to induction algorithm.
• Can resolve structural inconsistencies between two different ontologies.
• Generating generalized logical rules based on background knowledge as mappings.
• Achieving high, more acceptable and efficient F-Measure for ontology alignment.
摘要
•A new approach to find ontology mapping using inductive logic programming.•The ability to use background knowledge, as an input to induction algorithm.•Can resolve structural inconsistencies between two different ontologies.•Generating generalized logical rules based on background knowledge as mappings.•Achieving high, more acceptable and efficient F-Measure for ontology alignment.
论文关键词：Ontology alignment,Inductive logic programming,Ontology matching,Semantic web,Ontology mapping learning
论文评审过程：Received 13 June 2018, Revised 19 January 2019, Accepted 8 February 2019, Available online 8 February 2019, Version of Record 15 February 2019.
论文官网地址：https://doi.org/10.1016/j.eswa.2019.02.014
