Formal Methods for Managing and Processing Ontology Alignments

1. Auflage 2024
ISBN: 978-1-032-57117-1
Verlag: CRC Press

Buch, Englisch, 209 Seiten, Format (B × H): 183 mm x 260 mm, Gewicht: 600 g

Ontologies are formal knowledge representation methods that can provide means for a shared understanding of a given domain. To enable meaningful communication and interoperability between two or more information systems that utilize independently created ontologies, a bridge between them is necessary, often referred to as an ontology alignment. Formal Methods for Managing and Processing Ontology Alignments provides complete ontology alignment lifecycle, including modelling, methods, and maintenance processes.

Summarizing the author's research from the past ten years, this book consolidates findings previously published in prestigious international journals and presented at leading conferences. Each chapter is designed to be self-contained, allowing readers to approach the material modularly. The text introduces basic mathematical concepts, and later chapters build upon these foundations, but each focuses on specific aspects of ontology alignment, making the content accessible and easy to follow. Key Features

- Includes formal definitions of ontologies and ontology alignment along with a set of methods for providing semantics of attributes and relations.

- Provides application of fuzzy logic in the task of ontology alignment.

- Contains methods of managing the evolution of ontologies and their alignments.

- Proposes novel methods of assessing the quality ontology alignment.

Situated in the fields of knowledge representation and semantic technologies, this book is an invaluable resource for both academic researchers and practitioners, as well as students looking to deepen their understanding.

Zielgruppe

Academic and Postgraduate

Autoren/Hrsg.

Pietranik, Marcin

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Informationstheorie, Kodierungstheorie
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik

Inhaltsverzeichnis

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.

Über Autor(innen)

Marcin Pietranik is an assistant professor at Wroclaw 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.