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Ontology Theory, Management and Design: An Overview and Future Directions

Copyright © 2010. 51 pages.
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DOI: 10.4018/978-1-61520-859-3.ch002
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MLA

Jaziri, Wassim and Faiez Gargouri. "Ontology Theory, Management and Design: An Overview and Future Directions." Ontology Theory, Management and Design: Advanced Tools and Models. IGI Global, 2010. 27-77. Web. 1 Oct. 2014. doi:10.4018/978-1-61520-859-3.ch002

APA

Jaziri, W., & Gargouri, F. (2010). Ontology Theory, Management and Design: An Overview and Future Directions. In F. Gargouri, & W. Jaziri (Eds.) Ontology Theory, Management and Design: Advanced Tools and Models (pp. 27-77). Hershey, PA: Information Science Reference. doi:10.4018/978-1-61520-859-3.ch002

Chicago

Jaziri, Wassim and Faiez Gargouri. "Ontology Theory, Management and Design: An Overview and Future Directions." In Ontology Theory, Management and Design: Advanced Tools and Models, ed. Faiez Gargouri and Wassim Jaziri, 27-77 (2010), accessed October 01, 2014. doi:10.4018/978-1-61520-859-3.ch002

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Abstract

Ontologies now play an important role in providing a commonly agreed understanding of a domain and in developing knowledge-based systems. They intend to capture the intrinsic conceptual and semantic structure of a specific domain. Many methodologies, tools and languages are already available to help anthologies’ designers and users. However, a number of questions remain open: what ontology development methodology provides the best guidance to model a given problem, what steps to be performed in order to develop an ontology? which techniques are appropriate for each step? how ontology’ lifecycle steps are upheld by the software tools? how to maintain an ontology and to evolve it in a consistent way? how to adapt an ontology to a given context? To provide answers to these questions, the authors review in this chapter the main methodologies, tools and languages for building, updating and representing ontologies that have been reported in literature.
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From Information Systems Design To Ontology Modeling

Conceptual modeling is one of the most important tasks in the development of information systems in terms of both organizational understanding and systems development. It requires a determination of the domain entities and their relationships as well as different static and dynamic views of the expected system. The domain entities are not always simple nor organized since we must consider, when modeling, all the field’s concepts belonging to the universe of discourse as well as their pertinent relationships.

The result of a design step is usually expressed using a model (Sánchez et al., 2005). This model may contain some ambiguities and errors due to the incomprehension of the domain of study and the difficulty to determine its concepts and relationships.

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Complete Chapter List

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Table of Contents
Chapter 1
Fabien L. Gandon
Ironically the field of computer ontologies suffered a lot from ambiguity. The word ontology can be used and has been used with very different... Sample PDF
Ontologies in Computer Science: These New “Software Components” of Our Information Systems
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Chapter 2
Wassim Jaziri, Faiez Gargouri
Ontologies now play an important role in providing a commonly agreed understanding of a domain and in developing knowledge-based systems. They... Sample PDF
Ontology Theory, Management and Design: An Overview and Future Directions
$37.50
Chapter 3
Christophe Jouis, Julien Bourdaillet, Bassel Habib, Jean-Gabriel Ganascia
This chapter is a contribution to the study of formal ontologies. It addresses the problem of atypical entities in ontologies. The authors propose a... Sample PDF
Exceptions in Ontologies: A Theoretical Model for Deducing Properties from Topological Axioms
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Chapter 4
Yann Pollet
The authors address in this chapter the problem of the automated discovery and composition of Web Services. Now, Service-oriented computing is... Sample PDF
An Algebra of Ontology Properties for Service Discovery and Composition in Semantic Web
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Chapter 5
Thabet Slimani, Boutheina Ben Yaghlane, Khaled Mellouli
Due to the rapidly increasing use of information and communications technology, Semantic Web technology is being increasingly applied in a large... Sample PDF
Approaches for Semantic Association Mining and Hidden Entities Extraction in Knowledge Base
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Chapter 6
Nelson K. Y. Leung, Sim Kim Lau, Joshua Fan
Various types of Knowledge Management approaches have been developed that only focus on managing organizational knowledge. These approaches are... Sample PDF
Reusing the Inter-Organizational Knowledge to Support Organizational Knowledge Management Process: An Ontology-Based Knowledge Network
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Chapter 7
Ghebghoub Ouafia, Abel Marie-Hélène, Moulin Claude, Leblanc Adeline
The increasing number of available resources that may be used during e-learning can raise problems of access, management and sharing. An e-learning... Sample PDF
Building and Use of a LOM Ontology
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Chapter 8
Rim Djedidi, Marie-Aude Aufaure
Ontologies evolve continuously throughout their lifecycle to respond to different change requirements. Several problems emanate from ontology... Sample PDF
Ontology Evolution: State of the Art and Future Directions
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Chapter 9
Sana Sellami, Aicha-Nabila Benharkat, Youssef Amghar
Nowadays, the Information technology domains (semantic web, E-business, digital libraries, life science, etc) abound with a large variety of data... Sample PDF
Large Scale Matching Issues and Advances
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Chapter 10
Najla Sassi, Zouhaier Brahmia, Wassim Jaziri, Rafik Bouaziz
The problem of versioning is present in several application areas, such as temporal databases, real-time computing and ontologies. This problem is... Sample PDF
From Temporal Databases to Ontology Versioning: An Approach for Ontology Evolution
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Chapter 11
Javier Nogueras-Iso, Javier Lacasta, Jacques Teller, Gilles Falquet, Jacques Guyot
Ontology learning is the term used to encompass methods and techniques employed for the (semi-)automatic processing of knowledge resources that... Sample PDF
Ontology Learning from Thesauri: An Experience in the Urban Domain
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Chapter 12
A. Jimeno-Yepes, R. Berlanga-Llavori, D. Rebholz-Schuchmann
Ontologies represent domain knowledge that improves user interaction and interoperability between applications. In addition, ontologies deliver... Sample PDF
Applications of Ontologies and Text Mining in the Biomedical Domain
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Chapter 13
Mihaela Brut, Florence Sedes
The chapter goal is to provide responses to the following question: how the ontologies could be used in order to index and manage the multimedia... Sample PDF
Ontology Based Multimedia Indexing
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Chapter 14
Aicha Boubekeur, Mimoun Malki, Abdellah Chouarfia, Mostefa Belarbi
The SOA: Service Oriented Architecture is a paradigm which allows the unification in the approaches of integration of the information systems. This... Sample PDF
Semantic Enrichment of Web Service Architecture
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