Semantic applications (2018)
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- Abstract
- This book describes proven methodologies for developing semantic applications: software applications which explicitly or implicitly uses the semantics (i.e., the meaning) of a domain terminology in order to improve usability, correctness, and completeness. An example is semantic search, where synonyms and related terms are used for enriching the results of a simple text-based search. Ontologies, thesauri or controlled vocabularies are the centerpiece of semantic applications. The book includes technological and architectural best practices for corporate use.
- Content
- Introduction.- Ontology Development.- Compliance using Metadata.- Variety Management for Big Data.- Text Mining in Economics.- Generation of Natural Language Texts.- Sentiment Analysis.- Building Concise Text Corpora from Web Contents.- Ontology-Based Modelling of Web Content.- Personalized Clinical Decision Support for Cancer Care.- Applications of Temporal Conceptual Semantic Systems.- Context-Aware Documentation in the Smart Factory.- Knowledge-Based Production Planning for Industry 4.0.- Information Exchange in Jurisdiction.- Supporting Automated License Clearing.- Managing cultural assets: Implementing typical cultural heritage archive's usage scenarios via Semantic Web technologies.- Semantic Applications for Process Management.- Domain-Specific Semantic Search Applications.
- LCSH
- Management information systems
Information Systems Applications (incl. Internet)
Management of Computing and Information Systems
- Subject
- Management information systems
Information Systems Applications (incl. Internet)
Management of Computing and Information Systems
Arp, R.; Smith, B.; Spear, A.D.: Building ontologies with basic formal ontology (2015)
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- Abstract
- In the era of "big data," science is increasingly information driven, and the potential for computers to store, manage, and integrate massive amounts of data has given rise to such new disciplinary fields as biomedical informatics. Applied ontology offers a strategy for the organization of scientific information in computer-tractable form, drawing on concepts not only from computer and information science but also from linguistics, logic, and philosophy. This book provides an introduction to the field of applied ontology that is of particular relevance to biomedicine, covering theoretical components of ontologies, best practices for ontology design, and examples of biomedical ontologies in use. After defining an ontology as a representation of the types of entities in a given domain, the book distinguishes between different kinds of ontologies and taxonomies, and shows how applied ontology draws on more traditional ideas from metaphysics. It presents the core features of the Basic Formal Ontology (BFO), now used by over one hundred ontology projects around the world, and offers examples of domain ontologies that utilize BFO. The book also describes Web Ontology Language (OWL), a common framework for Semantic Web technologies. Throughout, the book provides concrete recommendations for the design and construction of domain ontologies.
- Content
- What Is an Ontology? - Kinds of Ontologies and the Role of Taxonomies - Principles of Best Practice 1: Domain Ontology Design - Principles of Best Practice II: Terms, Definitions, and Classification - Introduction to Basic Formal Ontology I: Continuants - Introduction to Basic Formal Ontology II: Occurrents - The Ontology of Relations - Basic Formal Ontology at Work - Appendix on Implementation: Languages, Editors, Reasoners, Browsers, Tools for Reuse - Glossary - Web Links Mentioned in the Text Including Ontologies, Research Groups, Software, and Reasoning Tools