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Ontology Engineering

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Cover of 'Ontology Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 General Terminology Induction in OWL
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    Chapter 2 OBOWLMorph: Starting Ontology Development from PURO Background Models
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    Chapter 3 A Similarity Based Approach to Omission Finding in Ontologies
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    Chapter 4 An Ontology for Supporting the Evolution of Virtual Reality Scenarios
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    Chapter 5 Collaborative Editing of Ontologies Using Fluent Editor and Ontorion
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    Chapter 6 Integrating Ontology Negotiation and Agent Communication
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    Chapter 7 Lifting EMMeT to OWL Getting the Most from SKOS
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    Chapter 8 Experiences with Aber-OWL, an Ontology Repository with OWL EL Reasoning
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    Chapter 9 Towards a Rule Based Distributed OWL Reasoning Framework
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    Chapter 10 Improving OWL RL Reasoning in N3 by Using Specialized Rules
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    Chapter 11 On the Capabilities and Limitations of OWL Regarding Typecasting and Ontology Design Pattern Views
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    Chapter 12 How to Keep a Reference Ontology Relevant to the Industry: A Case Study from the Smart Home
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    Chapter 13 An INSPIRE-Based Vocabulary for the Publication of Agricultural Linked Data
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    Chapter 14 Towards a Core Ontology of Occupational Safety and Health
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    Chapter 15 Towards a Visual Notation for OWL: A Brief Summary of VOWL
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    Chapter 16 Snap-SPARQL: A Java Framework for Working with SPARQL and OWL
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    Chapter 17 An Application Ontology to Help Users of a Geo-decision Software Understanding Their Data
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    Chapter 18 Ontology Engineering: From an Art to a Craft
Attention for Chapter 18: Ontology Engineering: From an Art to a Craft
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Chapter title
Ontology Engineering: From an Art to a Craft
Chapter number 18
Book title
Ontology Engineering
Published in
Lecture notes in computer science, April 2016
DOI 10.1007/978-3-319-33245-1_18
Book ISBNs
978-3-31-933244-4, 978-3-31-933245-1
Authors

Soldatova, Larisa, Panov, Panče, Džeroski, Sašo, Larisa Soldatova, Panče Panov, Sašo Džeroski

Editors

Valentina Tamma, Mauro Dragoni, Rafael Gonçalves, Agnieszka Ławrynowicz

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 36%
Student > Master 2 18%
Student > Ph. D. Student 1 9%
Lecturer 1 9%
Professor 1 9%
Other 1 9%
Unknown 1 9%
Readers by discipline Count As %
Computer Science 9 82%
Unknown 2 18%