A Framework for Agriculture Ontology Development in Semantic Web

2011 ◽  
Author(s):  
Nishu Bansal ◽  
Sanjay Kumar Malik
Keyword(s):  
Semantic Web ◽  
Ontology Development

Semantic Representation of Balinese Traditional Dance

2020 ◽  
Vol 8 (4) ◽  
pp. 411
Author(s):  
Irianto Liko Koten ◽  
Cokorda Rai Adi Pramartha
Keyword(s):  
Semantic Web ◽  
Semantic Representation ◽  
Ontology Development ◽  
Digital Form ◽  
Dance Performance ◽  
Development Method ◽  
Development Tool ◽  
Traditional Dance ◽  
The World ◽  
Representation Technique

Bali is an island in Indonesia that is rich in culture, for example, is a traditional dance. The traditional dance performance is diverse from one village to another village in Bali. The traditional Balinese dance knowledge should be captured dan documented well in a digital form so that it can be shared easily to different people and generation across the world. The use of ontology as an information representation technique is the preferred solution in this matter because ontology can be used to enhance the development of semantic applications, especially when dealing with semantic webs. In this project, the ontology was built using Protege ontology development tool.  We follow the methontology ontology development method where this methodology clearly describes each of its activity. In this study, we focus to describe two variants of Balinese traditional dance (Barong dance and Pendet dance). In the future, we expect that more type of dance can be documented using our proposed ontology. Keywords: Balinese Dance, Ontology,Semantic Web

Exploring Semantic Web Technologies for Product Family Modeling

2004 ◽  
Author(s):  
Jyotirmaya Nanda ◽  
Henri J. Thevenot ◽  
Timothy W. Simpson ◽  
Soundar R. T. Kumara ◽  
Steven B. Shooter
Keyword(s):  
Semantic Web ◽  
Product Design ◽  
Product Family ◽  
Ontology Development ◽  
Product Family Design ◽  
Product Representation ◽  
Semantic Web Technologies ◽  
Design Representation ◽  
Ontology Language ◽  
Single Use

By sharing product design information across a family of products, companies can increase the flexibility and responsiveness of their product realization process while shortening lead-times and reducing cost. This paper describes a preliminary attempt at using semantic web paradigm, especially the Web Ontology Language (OWL), for product family information management. An overview of the ongoing work with Semantic Web is also presented. Formal product representation using OWL can not only store the structure of the product family but also help in capturing the evolution of different components of the product family. As an illustration, a group of single-use cameras, containing several products from the Kodak single-use camera family, is represented in OWL format. The methodology of ontology development that can support product family design is discussed in detail. Product family design representation using OWL promotes better learning across products and reduced development time, system complexity, and product design lead-time.

GUIDELINES FOR REUSING ONTOLOGIES ON THE SEMANTIC WEB

2010 ◽  
Vol 04 (02) ◽  
pp. 239-283 ◽  
Author(s):  
ELENA SIMPERL
Keyword(s):  
Semantic Web ◽  
Development Strategy ◽  
Large Scale ◽  
Point Of View ◽  
Ontology Development ◽  
The Poor ◽  
Ontology Reuse ◽  
The Impact ◽  
Do So

The ability to efficiently and effectively reuse ontologies is commonly acknowledged to play a crucial role in the large scale dissemination of ontologies and ontology-driven technology, being thus a pre-requisite for the ongoing realization of the Semantic Web. In this article, we give an account of ontology reuse from a process point of view. We present a methodology that can be utilized to systematize and monitor ontology engineering processes in scenarios reusing available ontological knowledge in the context of a particular application. Notably, and by contrast to existing approaches in this field, our aim is to provide means to overcome the poor reusability of existing resources — rather than to solve the more general issue of building new, more reusable knowledge components. To do so we investigate the impact of the application context of an ontology — in terms of tasks this ontology has been created for and will be utilized in — has on the feasibility of a reuse-oriented ontology development strategy and provide guidelines that take these aspects into account. The applicability of the methodology is demonstrated through a case study performed in collaboration with an international eRecruitment solution provider.

OWL-Based Description for Agent

2011 ◽  
Vol 217-218 ◽  
pp. 1218-1223
Author(s):  
Gang Wang ◽  
Jie Lin ◽  
Qing Qi Long ◽  
Zhi Juan Hu
Keyword(s):  
Semantic Web ◽  
Early Development ◽  
Formal Specification ◽  
Ontology Development ◽  
Web Ontology Language ◽  
Development Stages ◽  
Ontology Language ◽  
Development Tools ◽  
Web Community ◽  
The Web

This paper presents a detailed formal specification of agents and their properties and abilities,based on the Web Ontology Language (OWL). It allows an agent to be specified entirely using standard mark-up languages from the Semantic Web community, namely RDF, RDF Schemaand OWL. The basic agent components are identified and their implementation using ontology development tools is described.The description improves consistency, interoperability and maintainability of agent program. Therefore,the design errors in the early development stages could be efficiently detected and avoided.

scholarly journals A Framework for Evaluating Agricultural Ontologies

2021 ◽  
Vol 13 (11) ◽  
pp. 6387
Author(s):  
Anat Goldstein ◽  
Lior Fink ◽  
Gilad Ravid
Keyword(s):  
Semantic Web ◽  
Intelligent Systems ◽  
Domain Knowledge ◽  
Development Process ◽  
Evaluation Methods ◽  
Evaluation Procedure ◽  
Ontology Development ◽  
Formal Representation ◽  
Core Component ◽  
Selection Of

An ontology is a formal representation of domain knowledge, which can be interpreted by machines. In recent years, ontologies have become a major tool for domain knowledge representation and a core component of many knowledge management systems, decision-support systems and other intelligent systems, inter alia, in the context of agriculture. A review of the existing literature on agricultural ontologies, however, reveals that most of the studies, which propose agricultural ontologies, are lacking an explicit evaluation procedure. This is undesired because without well-structured evaluation processes, it is difficult to consider the value of ontologies to research and practice. Moreover, it is difficult to rely on such ontologies and share them on the Semantic Web or between semantic-aware applications. With the growing number of ontology-based agricultural systems and the increasing popularity of the Semantic Web, it becomes essential that such evaluation methods are applied during the ontology development process. Our work contributes to the literature on agricultural ontologies by presenting a framework that guides the selection of suitable evaluation methods, which seems to be missing from most existing studies on agricultural ontologies. The framework supports the matching of appropriate evaluation methods for a given ontology based on the ontology’s purpose.

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