Formal Methods Managing Processing by Pietranik Marcin (24 results)

Condition: New.

Condition: New.

Condition: New.

Paperback. Condition: Brand New. 193 pages. 7.00x0.44x10.00 inches. In Stock.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Condition: New.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New.

Condition: As New. Unread book in perfect condition.

Hardback. Condition: New. New copy - Usually dispatched within 4 working days.

Condition: New. In.

Condition: New. 1st edition NO-PA16APR2015-KAP.

Condition: New.

Hardcover. Condition: Brand New. 226 pages. 10.00x7.00x10.00 inches. In Stock.

Paperback. Condition: new. Paperback. 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 FeaturesIncludes 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. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condition: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days.

Paperback. Condition: new. Paperback. 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 FeaturesIncludes 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. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 FeaturesIncludes 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. 210 pp. Englisch.

Paperback. Condition: new. Paperback. 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 FeaturesIncludes 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. 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. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 an.

Hardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 FeaturesIncludes 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.