• Corpus ID: 64792111

D5.4.2. Revision and Extension of the NeOn Methodology for Building Contextualized Ontology Networks

@inproceedings{SurezFigueroa2009D542RA,
  title={D5.4.2. Revision and Extension of the NeOn Methodology for Building Contextualized Ontology Networks},
  author={Mari Carmen Su{\'a}rez-Figueroa},
  year={2009}
}
This deliverable presents the second version of the NeOn methodology for building ontology networks. This version extends the previous one presented in D5.4.1 [80] providing methodological guidelines for: developing and creating ontology networks, reusing and re-engineering non-ontological resources, reusing ontology design patterns, modularizing ontologies, evaluating ontologies, evolving ontologies, and localizing ontologies. 

Ontology Engineering Methodology

TLDR
The methodology serves as a scaffold for Part B “Ontology Engineering” of the handbook and shows where more specific concerns of ontology engineering find their place and how they are related in the overall process.

Neon: Lifecycle Support for Networked Ontologies Priority: Ist-2004-2.4.7 — " Semantic-based Knowledge and Content Systems " D2.5.2 Pattern Based Ontology Design: Methodology and Software Support Neon Consortium Work Package Participants

TLDR
This deliverable presents the latest results about the exploitation of ontology design patterns in ontological design, with particular focus on software support.

Methods and Tools for Ontology Building, Learning and Integration - Application in the SYNAT Project

TLDR
This work has started building an experimental platform where different kinds of stored knowledge will be modeled with the use of ontologies, e.g. reference/system ontology, domain ontologies and auxiliary knowledge including lexical language ontology layers.

Experiments on pattern-based ontology design

TLDR
The main positive conclusions when using Content ODPs include: ontology developers perceived them as useful, ontology quality is improved, ontological quality isimproved, coverage of the task increases, usability isImproved, and common modelling mistakes can be avoided.

Methods and Tools for Ontology Building , Learning and Integration – Application in the SYNAT Project 1

TLDR
The paper makes a contribution to understanding semantically modeled knowledge and its incorporation into the SYNAT project by presenting a review of ontology building, learning, and integration methods and their potential application in the project.

Building a Domain Ontology from Glossaries: A General Methodology

TLDR
The methodology phases are described and applied to a real-world example from the medical domain and the particular feature is in the parallel construction of a domain ontology and a complete domain terminology.

Approaches to ontology development by non ontology experts

TLDR
A Natural Language (NL) guided approach based on a repository of Lexico-Syntactic Patterns associated to consensual modelling solutions, i.e., Ontology Design Patterns is proposed, which helps untrained users formulate in NL what they want to model in the ontology, and obtain the corresponding design pattern for the modelling issue.

Dependencies between ontology design parameters

  • C. Keet
  • Computer Science
    Int. J. Metadata Semant. Ontologies
  • 2010
TLDR
Ontology development methodologies provide scenarios, but they do not address the dependencies between the permutations at the different stages in the development process, so the efficiency and effectiveness of this endeavour is improved.

A Pattern-based Ontology Building Method for Ambient Environments

TLDR
This paper introduces a Pattern-based Ontology Building Method for Ambient Environments (POnA) and exemplifies this method through the development of a domain-specific ontology for cosmetic products within ambient shopping environments.

Making Ontology Relationships Explicit in a Ontology Network

TLDR
This paper formally defines the different relationships among the networked ontologies and shows how they can be modeled as an ontology network in a case study of the health domain.
...

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...