Ontologies with Python : Programming OWL 2.0 Ontologies with Python and Owlready2 (1st)

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Ontologies with Python : Programming OWL 2.0 Ontologies with Python and Owlready2 (1st)

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 344 p.
  • 言語 ENG
  • 商品コード 9781484265512
  • DDC分類 006

Full Description

Use ontologies in Python, with the Owlready2 module developed for ontology-oriented programming. You will start with an introduction and refresher on Python and OWL ontologies. Then, you will dive straight into how to access, create, and modify ontologies in Python. Next, you will move on to an overview of semantic constructs and class properties followed by how to perform automatic reasoning. You will also learn about annotations, multilingual texts, and how to add Python methods to OWL classes and ontologies. Using medical terminologies as well as direct access to RDF triples is also covered.

Python is one of the most used programming languages, especially in the biomedical field, and formal ontologies are also widely used. However, there are limited resources for the use of ontologies in Python. Owlready2, downloaded more than 60,000 times, is a response to this problem, and this book is the first one on the topic of using ontologies with Python.

What You Will Learn

Use Owlready2 to access and modify OWL ontologies in Python
Publish ontologies on dynamic websites
Perform automatic reasoning in Python
Use well-known ontologies, including DBpedia and Gene Ontology, and terminological resources, such as UMLS (Unified Medical Language System)
Integrate Python methods in OWL ontologies



Who Is This Book For

Beginner to experienced readers from biomedical sciences and artificial intelligence fields would find the book useful.

Contents

Chapter 1: Introduction.- Chapter 2: Python Language: Adopt a Snake!.- Chapter 3: OWL Ontologies.- Chapter 4: Accessing Ontologies in Python.- Chapter 5: Creating and Modifying Ontologies in Python.- Chapter 6: Constructs, Restrictions, Class Properties.- Chapter 7: Automatic Reasoning.- Chapter 8: Annotations, Multilingual Texts and Full Text Search.- Chapter 9: Using Medical Terminologies with PyMedTermino and UMLS.- Chapter 10: Mixing Python and OWL.- Chapter 11: Working with RDF Triples and Worlds.

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