An analysis of existing ontological systems for applications in manufacturing and healthcare

Schlenoff, Craig; Denno, Peter; Libes, Don; Szykman, Simon; Ivester, Robert W.

doi:10.6028/nist.ir.6301

Cited by 25 publications

(11 citation statements)

References 5 publications

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“…This characteristic is particularly useful in the description of complex manufacturing systems. Already in 1999, Schlenoff understood the potential of ontologies in the manufacturing domain (unambiguous communication, shared terminology and semantic alignment, and industrial information infrastructure in that they provide data in computational form) [20]. The possible uses of ontological representations of the manufacturing domain are not limited to the applications in control architectures, but, as pointed out by Garetti and Fumagalli, they can also support design, simulation, planning and scheduling, performance assessment and data integration in the field [21].…”

Section: The Role Of Ontological Modelling In the Manufacturing Domainmentioning

confidence: 99%

Requirements and languages for the semantic representation of manufacturing systems

Negri

Fumagalli

Garetti

et al. 2016

Computers in Industry

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Section: The Role Of Ontological Modelling In the Manufacturing Domainmentioning

confidence: 99%

Requirements and languages for the semantic representation of manufacturing systems

Negri

Fumagalli

Garetti

et al. 2016

Computers in Industry

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“…Many of these techniques build on formal logics, and are often difficult to adapt to ill-defined and often informal engineering datatypes. This includes work on functional representation [30,72] and the creation of engineering ontologies [73][74][75][76][77]. There have been a number of successful efforts from the engineering community to apply formal AI representations to design and manufacturing problems [78][79][80][81][82][83]40,84].…”

Section: Related Research Areas Supporting Design Rationalementioning

confidence: 99%

A Survey of Design Rationale Systems: Approaches, Representation, Capture and Retrieval

Regli

Atwood

et al. 2000

EWC

181

110

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This paper provides a survey on recent research in the area of design rationale. The study of design rationale spans a number of diverse disciplines, touching on concepts from research communities in mechanical design, software engineering, artificial intelligence, civil engineering, computer-supported cooperative work, and human-factors and human-computer interaction research. We focus this survey on prototype design rationale systems for these application domains, and put forward several major criteria with which to describe and classify design rationale systems, including argumentation-based, descriptive, process-based approaches. Further, we attempt to abstract the place of systems and tools for design rationale capture and retrieval in the context of contemporary knowledge-based engineering and Computer-Aided Design (CAD) tools. This survey is structured around classes of fundamentally different approaches, their representation schema, their capture methods and retrieval techniques. A number of recent design rationale systems, including JANUS, COMET, ADD. REMAP, HOS, PHIDIAS, DRIVE and IBIS are analysed. We conclude with an assessment of current state-of-the-art and a discussion of critical open research issues.

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“…이에 대한 해결책으로 온 톨로지를 이용한 시맨틱웹 기술을 들 수 있는데, 이는 용어나 어휘에 대한 전후 관계(context)를 전달함으로써 정확한 의미전 달을 가능하게 하기 때문이다 (Uschold and Gruninger, 1996). 실제로 미국 NIST(National Institute of Standards and Technology) 에서도 제조업의 분산된 환경에서 물리적으로 멀리 떨어진 공 급기업과 수요기업들이 온톨로지에 기반을 둔 시맨틱웹 기술 을 통해 쌍방의 요구조건과 핵심역량이 효과적으로 소통하는 것을 목표로 하는 연구를 수행하고 있다 (Schlenoff et al, 1999). 더불어 제조 도메인에서 기업 간 상호운용성(interoperability)을 개선하기 위해 온톨로지를 적용한 사례와 온톨로지에 대한 개 발방법론도 다수가 존재하며 진행 중인 연구 과제이다.…”

Section: 이론적 배경unclassified

Ontology for Supplier Discovery in Manufacturing Domain

Jung¹,

Lee²,

Koh

et al. 2012

IE interfaces

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Discovering the suppliers capable of manufacturing the parts that satisfy buyer requirements via current online market places remains difficult due to semantic differences between what the suppliers can produce and what the buyer wants to acquire. One of the promising approaches to overcome the semantic difference is to adopt an ontology to describe the suppliers' manufacturing capabilities and the buyer requirements that range widely from manufacturing costs to eco-friendly design. Such an ontology dedicated to supplier discovery has yet to be developed. MSDL(Manufacturing Service Description Language) provides the basis for defining terms and their relationships in the ontology. Thus, the objective of this paper is to extend MSDL into a new ontology suitable for supplier discovery in mold manufacturing industry. In addition, a new ontology development method for supplier discovery will be proposed. Finally prototype demonstrations are provided to show a feasibility of the proposed ontology in mold manufacturing domains.

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An analysis of existing ontological systems for applications in manufacturing and healthcare

Cited by 25 publications

References 5 publications

Requirements and languages for the semantic representation of manufacturing systems

Requirements and languages for the semantic representation of manufacturing systems

A Survey of Design Rationale Systems: Approaches, Representation, Capture and Retrieval

Ontology for Supplier Discovery in Manufacturing Domain

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