Collaborative development and Use of Ontologies for Design (original) (raw)
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The Design Ontology: Foundation for the Design Knowledge Exchange and Management
Journal of Engineering Design (Taylor & Frnacis), 21: 4, pp. 427 — 454, First published on: 27 September 2008 (iFirst), 2010
The article presents the research of the nature, building and practical role of a Design Ontology as a potential framework for the more efficient product development (PD) data-, information- and knowledge- description, -explanation, -understanding and -reusing. In the methodology for development of the ontology two steps could be identified: empirical research and computer implementation. Empirical research has included domain documentation analysis (Genetic Design Model System, Mortensen 1999), identification of the key concepts and relations between them, and categorisation of the concepts and relations into taxonomies. As an epistemological foundation for the concepts formalisation, The Suggested Upper Merged Ontology (SUMO) proposed by IEEE, was reused. As the result of the previously described process, the ontology content has been categorised into six main subcategories divided between physical and abstract world. As a next step the computer thesaurus has been created. Using the thesauri, the knowledge evolved during the PD has been described, and the set of the created concepts and relations instances has been used for the ontology model consistency checking and refinement. The Design Ontology was evaluated through test product examples and based on this evaluation and proposed implementation framework further research steps are proposed.
Ontologies as an interface between different design support systems
The aim of the present paper is to shortly review the problem field the companies are facing as the information should flow between different design support systems and introduce an approach to solve some of the arising problems. The CoreOntology forms the information structure for the Knowledge Base (KB) and standardizes the communication interface for the design support systems. In the present paper, an approach is proposed to share platform independent product, process and system related knowledge between the different design support systems through the KB.
Reusing knowledge based on Ontology and Organizational Model
Procedia Computer Science, 2014
The work presented in this paper is related to knowledge management during the design process of mechanical products. More exactly, we are concentrating on the knowledge reuse process. We propose a knowledge reuse system (KRS) based on two approaches. Namely, an organizational approach and a modeling user approach. Both are ontology-based models. Our system takes into account, the actors' roles (by the organizational approach), their preferences (by the model user approach), and their collaboration throughout the product design process in order to help designers to get knowledge that is considered the most relevant in all the phases of the product design process.
Information Organisation in Design: An Application of Formal Ontologies
Guidelines for a Decision Support Method Adapted to NPD Processes, 2007
Design activities need to be satisfied by several context considerations. The design data, information and knowledge need to be understood and interpreted by multiple context applications. Therefore, the organisation of those information and knowledge must be managed in a manner that all participants of design activities understand and share the actual meanings of the terms. An important approach onto design activities is to decompose the design activity into a set of processes, each of them being interrelated and sharing and exchanging information. Ontologies are potentially very powerful tools to share information and knowledge among systems. A number of different definitions are available for the word « ontology », but all of them highlight the basic functionality of an ontology as a methodology for enabling a better sharing of the meaning of terms. In this paper, we propose two approaches based on formal ontologies, thus enabling a better organisation of the information handled ...
An ontology-based universal design knowledge support system
An effective and efficient knowledge support system is crucial for universal design process, as it has become a major design issue in the last decade with the growth of the elderly population and disabled people. There are a limited number of CAD investigations on the nature of knowledge processing that supports the cognitive activities of universal design process. Therefore, this paper proposes an ontology-based computer-assisted universal design (CAUD) plug-in tool that supports designers in developing satisfactory universal design solutions in the conceptual design phase. The required knowledge processing and representation of the developed tool is motivated by the ontological language. It is based on the multiple divergence-convergence cognitive strategies and cognitive needs of designers in the analysis/ synthesis/evaluation operations. The CAUD plug-in tool is the first attempt to interface the universal design knowledge ontologically and respond to the requirements of conceptual design phase. According to the user acceptance study, the tool is assessed as useful, understandable, efficient, supportive and satisfactory.
Ontology-Centric Knowledge Organization
Abstract In this paper, we introduce ontology-centric knowledge organization approach to build engineering knowledge base systems. Ontology is an intermediate level of information representation between the model and the media level representations. They also work to bridge multiple models and multiple users. In order to realize knowledge base systems based on this approach, we investigated ontologies from two points of view. One is how to formalize ontologies that can represent multiple de nitions for concepts.
‘Building Knowledge Level Ontology for the Collaborative Design of Steel Frame Structures
This paper presents a problem-oriented approach to ontology construction and knowledge representation in the application of agent-based systems for conceptual design. It identifies current problems associated with ontology import and re-use and emphasises the need for standardisation in ontology development. It concludes that building domain ontologies is a requirement for successful agent-based applications and enterprise integration, and that standardisation of ontology construction will improve knowledge re-use and minimise duplication of development efforts. Also, the authors provide recommendations for ontology development in the AEC sector.
A Methodology for Creating Ontologies for Engineering Design (modified version DETC2005
kp.man.dtu.dk
This paper describes a methodology for developing ontologies for engineering design. The methodology combines a number of methods from social science and computer science, together with taxonomies developed in the field of engineering design. The methodology is based upon empirical research and hence, focuses upon understanding a user´s domain models as opposed to extracting an ontology from documentation. A case study is used throughout the paper focusing upon the use of an ontology for searching, indexing and retrieving engineering knowledge. An ontology for indexing design knowledge can assist the users to formulate their queries when searching for engineering design knowledge. The root concepts of the ontology were elicited from engineering designers during an empirical research study. These formed individual taxonomies within the ontology and were validated through indexing a set of ninety-two documents. Relationships between concepts are extracted as the ontology is populated with instances. The identified root concepts were found to be complete and sufficient for the purpose of indexing. A thesaurus and an automatic classification are being developed as a result of this evaluation. The methodology employed during the test case is presented in this paper. There are six separate stages, which are presented together with the research methods employed for each stage and the evaluation of each stage. The main contribution of this research is the development of a methodology to allow researchers and industry to create ontologies for their particular purpose and to develop a thesaurus for the terms within the ontology. of a taxonomy, for example, species would be the root concept for a taxonomy about species. As the ontology developed during this research project consists of several taxonomies and their relations, it is referred to as an integrated taxonomy (EDIT Engineering Design Integrated Taxonomy). As the integrated taxonomy is populated with instances the relationships between concepts (or multiple concepts) are captured and the ontology emerges.
A methodology for creating ontologies for engineering design
Journal of computing and Information …, 2007
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