Finding most informative common ancestor in cross-ontological semantic similarity assessment: An intrinsic information content-based approach
作者：
Highlights：
• An algorithm for finding Cross-Ontology Semantic Similarity between concepts.
• Avoiding strict string matching for finding the most informative common ancestor.
• Intrinsic Information Theoretic Knowledge-based paradigm followed.
• Correlation Coefficient with human cognition has been measured.
• Information retrieval becomes more effective.
摘要
•An algorithm for finding Cross-Ontology Semantic Similarity between concepts.•Avoiding strict string matching for finding the most informative common ancestor.•Intrinsic Information Theoretic Knowledge-based paradigm followed.•Correlation Coefficient with human cognition has been measured.•Information retrieval becomes more effective.
论文关键词：Semantic similarity,Information theory,Knowledge based systems,Information retrieval,Ontology
论文评审过程：Received 13 July 2020, Revised 24 October 2021, Accepted 21 November 2021, Available online 4 December 2021, Version of Record 30 December 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.116281
