scholarly journals Domain Ontology Development for Communicable Diseases

2013 ◽  
Author(s):  
Iti Mathur ◽  
Hemant Darbari ◽  
Nisheeth Joshi
Keyword(s):  
Communicable Diseases ◽  
Domain Ontology ◽  
Ontology Development

Ontological Conceptualization Based on the SKOS

2014 ◽  
Vol 14 (3) ◽  
Author(s):  
Farhad Ameri ◽  
Boonserm Kulvatunyou ◽  
Nenad Ivezic ◽  
Khosrow Kaikhah
Keyword(s):  
Domain Ontology ◽  
Knowledge Organization ◽  
Ontology Development ◽  
Stepping Stone ◽  
Simple Knowledge Organization System ◽  
Knowledge Organization System ◽  
Representation Formalism

Ontological conceptualization refers to the process of creating an abstract view of the domain of interest through a set of interconnected concepts. In this paper, a thesaurus-based methodology is proposed for systematic ontological conceptualization in the manufacturing domain. The methodology has three main phases, namely, thesaurus development, thesaurus evaluation, and thesaurus conversion and it uses simple knowledge organization system (SKOS) as the thesaurus representation formalism. The concept-based nature of a SKOS thesaurus makes it suitable for identifying important concepts in the domain. To that end, novel thesaurus evaluation and thesaurus conversion metrics that exploit this characteristic are presented. The ontology conceptualization methodology is demonstrated through the development of a manufacturing thesaurus, referred to as ManuTerms. The concepts in ManuTerms can be converted into ontological classes. The whole conceptualization process is the stepping stone to developing more axiomatic ontologies. Although the proposed methodology is developed in the context of manufacturing ontology development, the underlying methods, tools, and metrics can be applied to development of any domain ontology. The developed thesaurus can serve as a standalone lightweight ontology and its concepts can be reused by other ontologies or thesauri.

scholarly journals OntoForInfoScience

2016 ◽  
Vol 10 (1) ◽  
Author(s):  
Fabrício Martins Mendonça ◽  
Maurício Barcellos Almeida
Keyword(s):  
Information Science ◽  
Domain Ontology ◽  
Knowledge Organization ◽  
Ontology Development ◽  
Blood Components ◽  
Development Cycle ◽  
Scientific Project ◽  
Per Se

Ontologies are instruments of knowledge organization that have been developed through several methodologies. These methodologies are well established, but their steps often are not well explained. Thus, only knowledge engineers are able to perform all steps required in the development of ontologies. Here, we describe a methodology that details each step of the ontology development cycle. The goal of this methodology - called OntoForInfoScience - is to overcome issues of technical jargon and logical-philosophical principles faced by experts in Knowledge Organization from the field of Information Science. These are the usual issues when one deals with and constructs ontologies. In order to identify those issues, our methodology was produced by information scientists during the development of ontology in the blood domain. This ontology, called Hemonto, is domain ontology about blood components under development within the scope of a scientific project. In this paper, we present a brief description of OntoForInfoScience, as well as the practical results of the development of the blood ontology. We conclude that the new methodology is useful for information scientists when creating formal ontological representations. In addition to the methodology per se, our research also provides partial results of the HEMONTO development.

scholarly journals Comparative Analysis of Methodologies for Domain Ontology Development: A Systematic Review

2020 ◽  
Vol 11 (5) ◽  
Author(s):  
Abdul Sattar ◽  
Ely Salwana ◽  
Mohammad Nazir ◽  
Mazida Ahmad ◽  
Ahmad Kamil
Keyword(s):  
Systematic Review ◽  
Comparative Analysis ◽  
Domain Ontology ◽  
Ontology Development

scholarly journals Conceptual Modeling Meets Domain Ontology Development

2017 ◽  
Vol 28 (1) ◽  
pp. 18-30 ◽  
Author(s):  
Veda C. Storey
Keyword(s):  
Information System ◽  
Real World ◽  
Conceptual Models ◽  
Conceptual Modeling ◽  
Domain Ontology ◽  
Ontology Development ◽  
The Real ◽  
Domain Ontologies ◽  
High Level

Domain ontologies and conceptual models similarly capture and represent concepts from the real world for inclusion in an information system. This paper examines challenges of conceptual modeling and domain ontology development when mapping to high-level ontologies. The intent is to reconcile apparent differences and position some of the inherent challenges in these closely-coupled areas of research, while providing insights into recognizing and resolving modeling difficulties.

scholarly journals Building ontologies for different natural languages

2014 ◽  
Vol 11 (2) ◽  
pp. 623-644 ◽  
Author(s):  
Emhimed Alatrish ◽  
Dusan Tosic ◽  
Nikola Milenkovic
Keyword(s):  
Semantic Web ◽  
Natural Language ◽  
General Procedure ◽  
Software Tools ◽  
Domain Ontology ◽  
Ontology Development ◽  
The Internet ◽  
Wide Spread ◽  
Natural Languages ◽  
Development Tool

Ontology construction of a certain domain is an important step in applying the Semantic web. A number of software tools adapted for building domain ontologies of most wide-spread natural languages are available, but accomplishing that for any given natural language presents a challenge. Here we propose a semi-automatic procedure to create ontologies for different natural languages. Our approach utilizes various software tools available on the Internet most notably DODDLE-OWL - a domain ontology development tool implemented for English and Japanese languages. By using this tool, WordNet, Prot?g? and XSLT transformations, we propose a general procedure to construct domain ontology for any natural language.

scholarly journals DODDLE-OWL: Interactive Domain Ontology Development with Open Source Software in Java

2008 ◽  
Vol E91-D (4) ◽  
pp. 945-958 ◽  
Author(s):  
T. MORITA ◽  
N. FUKUTA ◽  
N. IZUMI ◽  
T. YAMAGUCHI
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Domain Ontology ◽  
Ontology Development
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