Formal Methods for Managing and Processing Ontology Alignments

This book consolidates findings previously published in prestigious international journals and presented at leading conferences. The book introduces basic mathematical concepts, and later chapters build upon these foundations, but each focusses on specific aspects of ontology alignment, making the content accessible and easy to follow.

List of contents

1. Introduction. 2. A formal model of ontology and ontology alignment. 3. Classification of ontology alignment techniques. 4. Fuzzy logic framework for ontology alignment. 5. Ontology evolution and version management in ontology alignment. 6. Advanced methods of assessing ontology alignment. 7. Conclusions.

About the author

Marcin Pietranik is an assistant professor at Wroc¿aw University of Science and Technology. He holds a deep interest in the areas of knowledge management and intelligent data processing technologies. He published more than 50 articles and participated in organizing several scientific conferences devoted to his research interests. His academic expertise is enriched by practical knowledge of modern web technologies, particularly within medical and telecommunication projects.

Summary

This book consolidates findings previously published in prestigious international journals and presented at leading conferences. The book introduces basic mathematical concepts, and later chapters build upon these foundations, but each focusses on specific aspects of ontology alignment, making the content accessible and easy to follow.

Product details

• Authors: Marcin Pietranik, Marcin (Wroclaw University of Science a Pietranik
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 07.10.2024
• EAN: 9781032571171
• ISBN: 978-1-0-3257117-1
• No. of pages: 193
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > General, dictionaries; Social sciences, law, business > Media, communication > Communication science; TECHNOLOGY & ENGINEERING / Automation, Coding theory & cryptology, Automatic control engineering, COMPUTERS / Data Science / Neural Networks, Coding theory and cryptology, Neural networks and fuzzy systems, Neural networks & fuzzy systems, ontologies;base definitions;fuzzy logic