Ontology Modeling Framework

Author(s):  
Edward H. Y. Lim ◽  
James N. K. Liu ◽  
Raymond S. T. Lee

2007 ◽  
pp. 265-274 ◽  
Author(s):  
Antonio De Nicola ◽  
Vandana Kabilan ◽  
Michele Missikoff ◽  
Vahid Mojtahed


Author(s):  
Dongxing Cao ◽  
Ming Wang Fu ◽  
Yongmao Gu ◽  
Haipeng Jia

Ontology has been known as an important means to represent design knowledge in product development, however, most ontology creation has not yet been systematically carried out. Port, as the location of intended interaction between a component and its enviornment, plays an important role in product conceptual design. It constitutes the interface of a component and defines its boundary. This paper introduces an approach, it is convenient to abstractly represent the intended exchange of signals, energy and/or material, and creat and manage port-based domain ontology, to port-based ontology modeling (PBOM) for product conceptual design. In this paper, port concept and port functional description through using natural language are first presented and their semantic synthesis is used to describe port ontology. Secondly, an ontology repository which contains the assorted primitive concepts and primitive knowledge to map the component connections and interactions is built. Meanwhile a model of port-based multi-views which contains functional view, behavior view and configuration view is articulated, and the attributes and taxonomy of ports in a hierarchy are presented. Next, a port-based ontology language (PBOL) is described to represent the process of port ontology refinement, and a port-based FBS modeling framework is constructed to describe system configuration. Furthermore, a formal knowledge framework to manage comprehensive knowledge is proposed, which could help designers create, edit, organize, represent and visualize product knowledge. Finally, a revised tape case is employed to validate the efficiency of the port ontology for product conceptual design and illustrate its application.



2012 ◽  
Vol 605-607 ◽  
pp. 2337-2340 ◽  
Author(s):  
Li Zhang ◽  
Da Li Jiang ◽  
Ya Rong Ju ◽  
Qian Zhu Wang ◽  
Pei Pei Li

Aiming at the knowledge representation problem in emergency logistics, this paper presents an ontology-based modeling framework for emergency distribution decision. The suggested ontology model includes the meta-ontology, the domain ontology and the upper relationship, and it can be extended to meet the various requirements in emergency logistics application. As an illustrative example, an instance of Location Routing Problem (LRP) is defined using proposed ontology model, and a rule-based reasoning experiment is developed with Jena. The result of experiment demonstrates the effectiveness of the ontology modeling framework, which can be used as an important complement to traditional optimization methods for emergency distribution decision.





Author(s):  
Diba Malekpour Koupaei ◽  
Farzad Hashemi ◽  
Vinciane Tabard-Fortecoëf ◽  
Ulrike Passe


2010 ◽  
Vol 32 (8) ◽  
pp. 1806-1811 ◽  
Author(s):  
Yan-na Li ◽  
Xiu-quan Qiao ◽  
Xiao-feng Li
Keyword(s):  


2008 ◽  
Vol 59 (7) ◽  
Author(s):  
Sanda Florentina Mihalache

A modelling approach that will facilitate an in-depth understanding of the interactions of the different phenomena, human interactions and environmental factors constituting �real world� industrial processes is presented. An important industrial system such as Gas Processing Unit (GPU) have inter-related internal process activities coexisting with external events and requires a real time inter-disciplinary approach to model them. This modeling framework is based on identifying as modules, the part of processes that have interactions and can be considered active participants in overall behaviour. The selected initial set of modules are structured as Petri net models and made to interact iteratively to provide process states of the system. The modeling goal is accomplished by identifying the evolution of the process states as a means of effective representation of the �actual running�� of the industrial process. The paper discusses the function and the implementation of the modelling method as applicable to the industrial case of GPU.





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