A Methodology for Product Family Ontology Development Using Formal Concept Analysis and Web Ontology Language

2005 ◽  
Vol 6 (2) ◽  
pp. 103-113 ◽  
Author(s):  
Jyotirmaya Nanda ◽  
Timothy W. Simpson ◽  
Soundar R. T. Kumara ◽  
Steven B. Shooter

The use of ontologies for information sharing is well documented in the literature, but the lack of a comprehensive and systematic methodology for constructing product ontologies has limited the process of developing ontologies for design artifacts. In this paper we introduce the Product Family Ontology Development Methodology (PFODM), a novel methodology to develop formal product ontologies using the Semantic Web paradigm. Within PFODM, Formal Concept Analysis (FCA) is used first to identify similarities among a finite set of design artifacts based on their properties and then to develop and refine a product family ontology using Web Ontology Language (OWL). A family of seven one-time-use cameras is used to demonstrate the steps of the PFODM to construct such an ontology. The benefit of PFODM lies in providing a systematic and consistent methodology for constructing ontologies to support product family design. The resulting ontologies provide a hierarchical conceptual clustering of related design artifacts, which is particularly advantageous for product family design where parts, processes, and most important, information is intentionally shared and reused to reduce complexity, lead-time, and development costs. Potential uses of the resulting ontologies and FCA representations within product family design are also discussed.

Author(s):  
Jyotirmaya Nanda ◽  
Henri J. Thevenot ◽  
Timothy W. Simpson ◽  
Soundar R. T. Kumara ◽  
Steven B. Shooter

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.


Author(s):  
Jyotirmaya Nanda ◽  
Henri J. Thevenot ◽  
Timothy W. Simpson

In this paper we propose a framework based on Formal Concept Analysis (FCA) that can be applied systematically to (1) visualize a product family (PF) and (2) improve commonality in the product family. Within this framework, the components of a PF are represented as a complete lattice structure using FCA. A Hasse diagram composed of the lattice structure graphically represents all the products, components, and the relationships between products and components in the PF. The lattice structure is then analyzed to identify prospective components to redesign to improve commonality. We propose two approaches as part of this PF redesign methodology: (1) Component-Based approach, and (2) Product-Based approach. In the Component-Based approach, emphasis is given to a single component that could be shared among the products in a PF to increase commonality. In the Product-Based approach, multiple products from a PF are selected, and commonality is improved among the selected products. Various commonality indices are used to assess the degree of commonality within a PF during its redesign. In this paper, we apply the framework to represent and redesign a family of one-time-use cameras. Besides increasing the understanding of the interaction between components in a PF, the framework explicitly captures the redesign process for improving commonality using FCA.


2021 ◽  
Vol 179 (3) ◽  
pp. 295-319
Author(s):  
Longchun Wang ◽  
Lankun Guo ◽  
Qingguo Li

Formal Concept Analysis (FCA) has been proven to be an effective method of restructuring complete lattices and various algebraic domains. In this paper, the notion of contractive mappings over formal contexts is proposed, which can be viewed as a generalization of interior operators on sets into the framework of FCA. Then, by considering subset-selections consistent with contractive mappings, the notions of attribute continuous formal contexts and continuous concepts are introduced. It is shown that the set of continuous concepts of an attribute continuous formal context forms a continuous domain, and every continuous domain can be restructured in this way. Moreover, the notion of F-morphisms is identified to produce a category equivalent to that of continuous domains with Scott continuous functions. The paper also investigates the representations of various subclasses of continuous domains including algebraic domains and stably continuous semilattices.


2013 ◽  
Vol 760-762 ◽  
pp. 1708-1712
Author(s):  
Ying Fang Li ◽  
Ying Jiang Li ◽  
Yan Li ◽  
Yang Bo

At present, as the number of web services resources on the network drastically increased, how to quickly and efficiently find the needed services from publishing services has become a problem to resolve. Aiming at the problems of low efficiency in service discovery of traditional web service, the formal concept analysis ( FCA) is introduced into the semantic Web service matching, and a Matching Algorithm based semantic web service is proposed. With considering the concept of limited inheritance,this method introduces the concept of limited inheritance to the semantic similarity calculation based on the concept lattice. It is significant in enhancing the service function matching in practical applications through adjust the calculation.


2007 ◽  
Vol 158 (23) ◽  
pp. 2627-2640 ◽  
Author(s):  
Ming-Wen Shao ◽  
Min Liu ◽  
Wen-Xiu Zhang

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