A Uniform Product Knowledge Representation Semantic Model

Author(s):  
Chengfeng Jian ◽  
Meiyu Zhang ◽  
Cunju Lu
Author(s):  
Benjamin Gernhardt ◽  
Franz Miltner ◽  
Tobias Vogel ◽  
Holger Brocks ◽  
Matthias Hemmje ◽  
...  

Semantic knowledge representation, management, sharing, access, and re-use approaches can support collaborative production planning in a flexible and efficient as well as an effective way. Therefore, semantic-technology based representations of Collaborative Production Process Planning (CAPP) knowledge integrated into a machine readable process formalization is a key enabling factor for sharing such knowledge in cloud-based semantic-enabled knowledge repositories supporting CAPP scenarios as required in the CAPP4SMES project [1]. Beyond that, Small and Medium Enterprises (SMEs) as represented in CAPP4SMES request for a standardized CAPP-oriented product-knowledge- and production-feature representation that can be achieved by applying function-block based knowledge representation models. Semantic Web- and at the same time Cloud-based technologies, tool suites and application solutions which are based on process-oriented semantic knowledge representation methodologies such as Process-oriented Knowledge-based Innovation Management (German: Wissens-basiertes Prozesess-orientiertes Innovationsmanagement, WPIM) [2] can satisfy these needs, supporting the semantic integration, management, access and re-use in a machine readable and integrated representation of distributed CAPP knowledge that is shared within a cloud-based centralized semantic-enabled knowledge repository. Furthermore semantic knowledge representation and querying add value to knowledge-based and computer-aided re-use of such knowledge within CAPP activities and, finally, pave the way towards further automating planning, simulation and optimization support in a semantic web for CAPP.


2010 ◽  
Vol 34-35 ◽  
pp. 1865-1869
Author(s):  
Xiao Ying Chen ◽  
Bin He

Product design is a problem-solving activity based on knowledge. This paper is devoted to presenting a systematic knowledge representation method of principle solution based on semantic network model. For the expression of product knowledge, the semantic object, constraints and their relationships among the expression of the semantic object network model are proposed step by step. Then the principle solution representation model based on semantic network model is put forwards. The knowledge representation of a car is given as an example, which demonstrates that this method is obviously helpful for knowledge-based design system and product innovation.


2011 ◽  
Vol 24 (2) ◽  
pp. 282-296 ◽  
Author(s):  
A. Garcia-Crespo ◽  
B. Ruiz-Mezcua ◽  
J.L. Lopez-Cuadrado ◽  
I. Gonzalez-Carrasco

2009 ◽  
Vol 16-19 ◽  
pp. 698-702
Author(s):  
Hui Zhang ◽  
Xiao Song ◽  
Lin Zhang

In order to support knowledge representation and utilization, a framework of a “product shared information semantic model” is proposed. A method to describe the knowledge of a product is presented according to the framework, including a structure description in OWL and a behavior representation in OWL-S. And a description example about a warhead is given. It shows that the application of OWL and OWL-S can significantly benefit knowledge sharing and reuse in the process of digital design.


Author(s):  
Md Tarique Hasan Khan ◽  
Frédéric Demoly ◽  
Kyoung Yun Kim

Over the last decades, noticeable efforts have been made to construct design knowledge during the detailed geometric definition phase systematically. However, physical products exhibit functional behaviors, which explain that they evolve over space and time. Hence, there is a need to extend assembly product knowledge towards the spatiotemporal dimension to provide more realistic knowledge models in assembly design. Systematic semantic knowledge representation via ontology enables designers to understand the anticipated product’s behavior in advance. In this article, Interval Algebra (IA) and Region Connection Calculus (RCC) are investigated to formalize and construct ontological spatiotemporal assembly product motion knowledge. IA is commonly used to represent the temporality between two entities, while RCC is more appropriate to represent the ‘part-to-part’ relationships of two topological spaces. This paper discusses the roles of IA and RCC and presents a case study of a nutcracker assembly model’s behavior. The assembly product motion ontology with the aid of IA and RCC is evaluated using a task-based approach. The evaluation shows the added value of the developed ontology compared to others published in the literature.


Author(s):  
Steven Vercruysse ◽  
John Zobolas ◽  
Vasundra Touré ◽  
Maria K. Andersen ◽  
Martin Kuiper

VSM is a recently introduced method for entering and displaying any type of knowledge, in a form that is both semantically precise for computation and intuitive for human understanding. VSM is the combination of a new semantic model, and the design for a dedicated user interface to support it. Here we present the implementation of this user interface, as a sophisticated HTML-element, <vsm-box>, that can be embedded in any web-based curation app. We show how developers can use it for biocuration projects, customize it to particular end-user needs, and contribute to its growth. Vsm-box is open-source at https://github.com/vsmjs/vsm-box under the AGPL license, as a JavaScript (ES6) Vue.js web-component that runs in all modern web browsers. It is the capstone of the Vsmjs organization at https://github.com/vsmjs that groups its supporting modules. Extensive supplementary material on VSM and vsm-box is available at https://vsmjs.github.io.


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