Formal Methods for the Analysis of Biomedical Ontologies

This book explores the application of formal methods, rooted in mathematics and logic, to the analysis and enhancement of biomedical ontologies.  The authors take a pragmatic approach focused on generating actionable insights to achieve high-quality codified biomedical knowledge in the most active and impactful areas where ontologies have a direct real-world impact. The book first introduces simple, yet formalized strategies for discovering undesired and incoherent patterns in ontologies before exploring the application of formal concept analysis for semantic completeness. The authors then discuss formal concept analysis as an ontological engineering principle. The book goes on to highlight the power and utility of uncovering non-lattice structure for debugging ontologies. This Second Edition includes a new chapter that covers recent research on leveraging logical definitions for identifying ontological defects. The authors have also added a new chapter on the perspective of using large language models in the ontological analysis work.

Table des matières

Introduction.- Simple Relational Patterns.- Formal Concept Analysis and Semantic Completeness.- Algorithms for Extracting Non-lattice Substructures.- Non-lattice Substructures in Ontological Analysis.- Lexical Sequences and Patterns.- Leveraging Logical Definitions.- Visualization and Retrospective Ground-Truthing.- Prospect of Large Language Models for Ontological Analysis.- Conclusion.

Détails du produit

• Auteurs: Rashmie Abeysinghe, Licong Cui, Guo-Qiang Zhang
• Edition: Springer, Berlin
• Langues: Anglais
• Format d'édition: Livre Relié
• Sortie: 01.10.2025
• EAN: 9783031937750
• ISBN: 978-3-0-3193775-0
• Pages: 256
• Illustrations: XVI, 256 p. 102 illus., 73 illus. in color.
• Thème: Synthesis Lectures on Data, Semantics, and Knowledge
• Catégories: Sciences naturelles, médecine, informatique, technique > Informatique, ordinateurs > Informatique; Künstliche Intelligenz, Data Science, Algorithms, Artificial Intelligence, Medizinische Forschung, Ontology, Philosophie: Metaphysik und Ontologie, Biomedical Research, Data Storage Representation, Data Analysis and Big Data, Large Language Models, knowledge engineering, formal methods, Unified Medical Language System, Biomedical Informatics, Knowledge Structure, Lattices And Order Theory, formal concept analysis, Gene Ontology, Ontology Quality Assurance, Graph Visualization, Snomed Ct, Biomedical Ontologies