Taxonomy Matching Using Background Knowledge, Angermann

Автор: Angermann Heiko, Ramzan Naeem
Название: Taxonomy Matching Using Background Knowledge: Linked Data, Semantic Web and Heterogeneous Repositories
ISBN: 331989157X ISBN-13(EAN): 9783319891576
Издательство: Springer
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Цена: 4890.00 р.
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Описание: This important text/reference presents a comprehensive review of techniques for taxonomy matching, discussing matching algorithms, analyzing matching systems, and comparing matching evaluation approaches.

Автор: Krig Scott
Название: Computer Vision Metrics: Survery, Taxonomy and Analysis of Computer Vision, Visual Neuroscience, and Deep Learning
ISBN: 3319815954 ISBN-13(EAN): 9783319815954
Издательство: Springer
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Цена: 11179.00 р.
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Описание: Based on the successful 2014 book published by Apress, this textbook edition is expanded to provide a comprehensive history and state-of-the-art survey for fundamental computer vision methods and deep learning.

Автор: Grzegorz J. Nalepa
Название: Modeling with Rules Using Semantic Knowledge Engineering
ISBN: 3319882945 ISBN-13(EAN): 9783319882949
Издательство: Springer
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Цена: 13974.00 р.
Наличие на складе: Нет в наличии.

Описание: This book proposes a consistent methodology for building intelligent systems.It puts forward several formal models for designing and implementing rules-based systems, and presents illustrative case studies of their applications. These include software engineering, business process systems, Semantic Web, and context-aware systems on mobile devices. Rules offer an intuitive yet powerful method for representing human knowledge, and intelligent systems based on rules have many important applications. However, their practical development requires proper techniques and models - a gap that this book effectively addresses.

Название: Ontology learning and knowledge discovery using the web
ISBN: 1609606256 ISBN-13(EAN): 9781609606251
Издательство: Mare Nostrum (Eurospan)
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Цена: 31046.00 р.
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Описание: Provides relevant theoretical foundations, and disseminates new research findings and expert views on the remaining challenges in ontology learning. This book is invaluable resource as a library or personal reference for graduate students, researchers, and industrial practitioners.

Автор: Grzegorz J. Nalepa
Название: Modeling with Rules Using Semantic Knowledge Engineering
ISBN: 3319666541 ISBN-13(EAN): 9783319666549
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Part I Domain of Rule-Based Systems.- Rules as a Knowledge Representation Paradigm.- Knowledge Engineering with Rules.- Selected Applications of Rule.- Part II Formal Models for Rules.- Formalism for Description of Decision Rules.- Formalized Integration of Rules and Processes.- Prototyping Structure of Rule Bases.- Handling Uncertainty in Rules.- Formalizing Interoperability in Rule Bases.- Part III Practical Studies in Semantic Knowledge Engineering.- Semantic Knowledge Engineering Approach.- Rule Interoperability with Expert System Shells.- Visual Software Modeling with Rules.- Using Rules to Support Software Testing.- Integrating Business Process Models with Rules.- Rule-Based Systems and Semantic Web.- Collaborative Knowledge Engineering with Wikis.- Designing Robot Control Logic with Rules.- Rules in Mobile Context-Aware Systems.- Index.