1.

Record Nr.

UNINA9910132759103321

Autore

Munn Katherine

Titolo

Applied ontology : an introduction / / Katherine Munn, Barry Smith

Pubbl/distr/stampa

Frankfurt, : Ontos Verlag, 2008

ISBN

3-11-032486-5

Descrizione fisica

1 online resource (342 pages) : digital. PDF file(s)

Collana

Metaphysical Research ; ; 9

Altri autori (Persone)

SmithBarry

Disciplina

111

Soggetti

Ontology

Bioinformatics

Ontologies (Information retrieval)

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Front matter -- Table of Contents -- Introduction: What is Ontology for? / Munn, Katherine -- Acknowledgments -- Chapter 1: Philosophy and Biomedical Information Systems / Smith, Barry / Klagges, Bert -- Chapter 2: What is Formal Ontology? / Hennig, Boris -- Chapter 3: A Primer on Knowledge Representation and Ontological Engineering / Grenon, Pierre -- Chapter 4: New Desiderata for Biomedical Terminologies / Smith, Barry -- Chapter 5: The Benefits of Realism: A Realist Logic with Applications / Smith, Barry -- Chapter 6: A Theory of Granular Partitions / Bittner, Thomas / Smith, Barry -- Chapter 7: Classifications / Jansen, Ludger -- Chapter 8: Categories: The Top-Level Ontology / Jansen, Ludger -- Chapter 9: The Classification of Living Beings / Heuer, Peter / Hennig, Boris -- Chapter 10: Ontological Relations / Schwarz, Ulf / Smith, Barry -- Chapter 11: Four Kinds of Is_a Relation / Johansson, Ingvar -- Chapter 12: Occurrents / Hennig, Boris -- Chapter 13: Bioinformatics and Biological Reality / Johansson, Ingvar -- References -- Index

Sommario/riassunto

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