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Applied Ontology : an Introduction /

Ontology is the philosophical discipline which aims to understand how things in the world are divided into categories and how these categories are related together. This is exactly what information scientists aim for in creating structured, automated representations, called 'ontologies, '...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Munn, Katherine (Editor ), Smith, Barry, 1952- (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Warschau/Berlin : De Gruyter Open, [2008]
Colección:Metaphysical research.
Temas:
Acceso en línea:Texto completo

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505 0 0 |t Frontmatter --  |t Table of Contents --  |t Introduction: What is Ontology for? /  |r Munn, Katherine --  |t Acknowledgments --  |t Chapter 1: Philosophy and Biomedical Information Systems /  |r Smith, Barry ; Klagges, Bert --  |t Chapter 2: What is Formal Ontology? /  |r Hennig, Boris --  |t Chapter 3: A Primer on Knowledge Representation and Ontological Engineering /  |r Grenon, Pierre --  |t Chapter 4: New Desiderata for Biomedical Terminologies /  |r Smith, Barry --  |t Chapter 5: The Benefits of Realism: A Realist Logic with Applications /  |r Smith, Barry --  |t Chapter 6: A Theory of Granular Partitions /  |r Bittner, Thomas ; Smith, Barry --  |t Chapter 7: Classifications /  |r Jansen, Ludger --  |t Chapter 8: Categories: The Top-Level Ontology /  |r Jansen, Ludger --  |t Chapter 9: The Classification of Living Beings /  |r Heuer, Peter ; Hennig, Boris --  |t Chapter 10: Ontological Relations /  |r Schwarz, Ulf ; Smith, Barry --  |t Chapter 11: Four Kinds of Is_a Relation /  |r Johansson, Ingvar --  |t Chapter 12: Occurrents /  |r Hennig, Boris --  |t Chapter 13: Bioinformatics and Biological Reality /  |r Johansson, Ingvar --  |t References --  |t Index. 
520 |a Ontology is the philosophical discipline which aims to understand how things in the world are divided into categories and how these categories are related together. This is exactly what information scientists aim for in creating structured, automated representations, called 'ontologies, ' for managing information in fields such as science, government, industry, and healthcare. Currently, these systems are designed in a variety of different ways, so they cannot share data with one another. They are often idiosyncratically structured, accessible only to those who created them, and unable to serve as inputs for automated reasoning. This volume shows, in a non-technical way and using examples from medicine and biology, how the rigorous application of theories and insights from philosophical ontology can improve the ontologies upon which information management depends. 
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