
Applications and Practices in Ontology Design, Extraction, and Reasoning
Description
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This book, Applications and Practices in Ontology Design, Extraction, and Reasoning, has as its main goal the provision of an overview of application fields for semantic web technologies. In particular, it investigates how state-of-the-art formal languages, models, methods, and applications of semantic web technologies reframe research questions and approaches in a number of research fields. The book also aims to showcase practical tools and background knowledge for the building and querying of ontologies.
The first part of the book presents the state-of-the-art of ontology design, applications and practices in a number of communities, and in doing so it provides an overview of the latest approaches and techniques for building and reusing ontologies according to domain-dependent and independent requirements. Once the data is represented according to ontologies, it is important to be able to query and reason about them, also in the presence of uncertainty, vagueness and probabilities.
The second part of the book covers some of the latest advances in the fields of ontology, semantics and reasoning, without losing sight of the book's practical goals.
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Content
- Intro
- Title Page
- Preface
- Contents
- Part I. Ontology Design, Extraction and Applications
- Modular Ontology Modeling: A Tutorial
- The Landscape of Ontology Reuse Approaches
- Best Practices for Implementing FAIR Vocabularies and Ontologies on the Web
- High-Quality Knowledge Graphs Generation: R2RML and RML Comparison, Rules Validation and Inconsistency Resolution
- CLARIAH: Enabling Interoperability Between Humanities Disciplines with Ontologies
- Ontology Extraction and Usage in the Scholarly Knowledge Domain
- Representing Complex Knowledge for Exploration and Recommendation: The Case of Classical Music Information
- Part II. Ontology Reasoning
- A Framework for Reasoning on Probabilistic Description Logics
- Reasoning About Typicality and Probabilities in Preferential Description Logics
- Axiom Pinpointing
- Defeasible Reasoning in Description Logics: An Overview on DL^N
- Querying the Semantic Web via Rules
- Large-Scale Ontological Reasoning via Datalog
- Subject Index
- Author Index
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