Ontological functional modeling of technology for reusability

Yoon, Janghyeok; Lim, Joohyung; Choi, Sungchul; Kim, Kwangsoo; Kim, Cheol-Han

doi:10.1016/j.eswa.2011.02.090

Cited by 11 publications

(9 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To understand and communicate the product information across different application domains, ontology are used to represent the conceptualizations of products and to capture the product data semantics [14,15]. To make the technologies from various technology domains reusable, functional ontology are proposed to capture the functional knowledge explicitly [7,8,16]. Importantly, ontology often provides powerful tools for querying [17] and retrieving engineering …”

Section: A Ontology In Product Designmentioning

confidence: 99%

“…Defining or understanding a product in terms of its function is important in product development and facilitates a wide variety of tasks that include design synthesis, modeling, and life-cycle analysis to evaluate its sustainability [14]. Also, understanding technologies from a functional viewpoint helps designers search reusable technologies from various technology domains and reuse them [7]. The functionality of technical systems has been studied from multiple viewpoints in engineering design research [25,26].…”

Section: Semantic Representation Of Scientificmentioning

confidence: 99%

“…The functionality of technical systems has been studied from multiple viewpoints in engineering design research [25,26]. Among various representations, the Functional Basis [24,27] is currently believed to be the most advanced [7] and has been widely accepted as a standardized set of engineering terms used for function modeling. However, it is not only difficult to represent and understand the explicit and accurate meaning of the functional models [7], but also difficult to reason [30].…”

Section: Semantic Representation Of Scientificmentioning

confidence: 99%

“…In the field of engineering design, more and more attention is being focused on the development of ontology to capture the semantics of technology [7], product [8]. Importantly, ontology can be interpretable by software processes so that the reasoning with it makes computer aided innovation more effective and more efficient.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A rule-based ontology reasoning for scientific effects retrieval

Zhang

et al. 2012

2012 IEEE International Conference on Management of Innovation &Amp; Technology (ICMIT)

View full text Add to dashboard Cite

Scientific effects, which are knowledge of scientific principles, can be used to transform inputs to outputs and achieve corresponding functions. How to manage and make full use of them to support the conceptual design is an important task. Many papers focused on the expression and retrieval of function ontology, few related to the reasoning rules on the function expansion with attributes of function and flow. This paper proposed a rulebased ontology reasoning for scientific effects retrieval with expanding 5 groups reasoning rules based on Jena reasoning engine. A proto type software is developed. The experiment results demonstrated that the rule-based ontology reasoning can greatly widen the solution space and increase opportunities for product innovation.

show abstract

Section: A Ontology In Product Designmentioning

confidence: 99%

Section: Semantic Representation Of Scientificmentioning

confidence: 99%

Section: Semantic Representation Of Scientificmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A rule-based ontology reasoning for scientific effects retrieval

Zhang

et al. 2012

2012 IEEE International Conference on Management of Innovation &Amp; Technology (ICMIT)

View full text Add to dashboard Cite

show abstract

“…'Function' has been defined in several ways [24][25][26]. In this research, a function is an expression that abstracts the aims and methods of technology and business information.…”

Section: Sao-based Patent Text Miningmentioning

confidence: 99%

SAO-Based Semantic Mining of Patents for Semi-Automatic Construction of a Customer Job Map

et al. 2017

Self Cite

View full text Add to dashboard Cite

Abstract:The Outcome-Driven Innovation (ODI) method based on the 'Jobs-to-be-done' concept is very useful in the identification of unmet customer needs and has been adopted widely in the industry. The Job Map, a tool of the ODI method, is used to understand customers by defining their behavioral process. Complications must be overcome before the Job Map can be applied to the specific problem in question, such as a time-consuming process, dealing with a large amount of data, and experts' biased work. To solve these problems, this study develops a patent mining-based method based on the subject-action-object (SAO) structure to support the creation of a Job Map by semi-automatizing data collection and analysis. This effort at better utilizing computers in customer analysis for product design will contribute to expanding computerized methods for solving design and engineering problems in practice.

show abstract

Enhanced function modeling for early assessment of conceptual innovative construction technologies

Cheng

et al. 2013

Automation in Construction

View full text Add to dashboard Cite

Ontological functional modeling of technology for reusability

Cited by 11 publications

References 16 publications

A rule-based ontology reasoning for scientific effects retrieval

A rule-based ontology reasoning for scientific effects retrieval

SAO-Based Semantic Mining of Patents for Semi-Automatic Construction of a Customer Job Map

Enhanced function modeling for early assessment of conceptual innovative construction technologies

Contact Info

Product

Resources

About