Semantic Web for manufacturing, trends and open issues

Ramos, Luis

doi:10.1016/j.cie.2015.10.013

Cited by 41 publications

(18 citation statements)

References 37 publications

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“…Conforme demandado por Ramos (2015), Krogstiea e Anderson (2012), Iwaya, Rosso Junior e Hounsell (2013), Hiekata e Yamato (2014), Kretschmer et al (2016) e Wahidin et al (2016), há necessidade de representar melhor os dados de fabricação e montagem para que estes sejam aproveitados futuramente durante novos projetos. Sem uma ferramenta de auxílio, os registros de casos anteriores ficam a mercê da lembrança dos profissionais, e muitas vezes desperdiçados.…”

Section: Representação Do Conhecimento Da Fabricação Ou Montagemunclassified

Engenharia Baseada Em Conhecimento Aplicada Ao Conceito Dfma: Análise Bibliométrica E Sistêmica

Gobbo¹,

Paganin²,

Borsato³

2017

Blucher Design Proceedings

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RESUMO No Processo de Desenvolvimento de Produto (PDP) a gestão do conhecimento é essencial para evitar retrabalhos futuros. Uma abordagem para gerir o conhecimento necessário ao desenvolvimento do produto é denominada Engenharia INTRODUÇÃOA disponibilidade do conhecimento necessário para o desenvolvimento de um novo produto é essencial para o sucesso de um projeto. Segundo Rozenfeld et al. (2006), durante o Processo de Desenvolvimento de Produtos (PDP) deve-se armazenar informações e experiências constantemente. Os mesmos autores completam que o acúmulo do conhecimento e o uso de ferramentas de TI apropriadas permitirão a reutilização dessas informações, evitando a ocorrência de erros já cometidos. Uma abordagem para gerir o conhecimento necessário ao desenvolvimento do produto é denominada Engenharia Baseada em Conhecimento (Knowledge-based Engineering -KBE).A Engenharia Baseada em Conhecimento pode ser entendida como soluções que apoiam atividades de engenharia ao realizar a coleta, estruturação e armazenamento de um

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Section: Representação Do Conhecimento Da Fabricação Ou Montagemunclassified

Engenharia Baseada Em Conhecimento Aplicada Ao Conceito Dfma: Análise Bibliométrica E Sistêmica

Gobbo¹,

Paganin²,

Borsato³

2017

Blucher Design Proceedings

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“…Thus, it comes as no surprise that the application of OWL ontologies in the representation of product information (including tolerance information) is gaining importance and popularity within the academia [81][82][83][84][85]. However, the OWL ontology-based model is probably not an efficient representation model for tolerance information as a whole, because OWL ontology has drawbacks in the aspects of degree of automation, time complexity, additional work, and negation in the model [80].…”

Section: Ontology-based Modelmentioning

confidence: 99%

A review of representation models of tolerance information

Qin

et al. 2017

Int J Adv Manuf Technol

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A good representation model of tolerance information is indispensable for achieving computer-aided tolerancing. Currently, the representation model used in industry is the EXPRESS model, while at the same time, a number of other kinds of representation models have been presented within the academia. The coexistence of different kinds of representation models generates a series of questions and discussions: can the EXPRESS model completely implement the representation of tolerance information semantics in an explicit, computer-readable, and computer-interpretable way? What challenges have been addressed to date by the presented representation models? What are the advantages and disadvantages of each representation model? What capabilities should an ideal representation model have? What are the potential research directions in tolerance information representation in the future? To approach these questions, a review of representation models of tolerance information is presented in this paper. An in-depth analysis of existing representation models is firstly provided. Then, the review makes a detailed comparison among them based on this analysis. Finally, some future research directions in tolerance information representation are suggested.

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“…Ontologies are made of at least three elements: 1) classes (domain concepts); 2) relations (distinctive sorts of parallel relationship between concepts); and 3) instances (real world phenomenon) (David Sánchez, 2010). Most researchers agree on classifying ontologies based on different generality levels and conceptualization (Borst, 1997;Maalel et al, 2012;Ramos, 2015;Studer et al, 1998;Van Heijst et al, 1997;Zhang et al, 2004;. This resulted to the four categories of ontologies discussed in this survey, which are application ontology, domain ontology, generic ontology and representation ontology.…”

Section: Ontologymentioning

confidence: 99%

Towards knowledge modeling and manipulation technologies: A survey

Bimba

Al-Hunaiyyan

Mahmud

et al. 2016

International Journal of Information Management

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A system which represents knowledge is normally referred to as a knowledge based system (KBS). This article focuses on surveying publications related to knowledge base modelling and manipulation technologies, between the years 2000-2015. A total of 185 articles excluding the subject descriptive articles which are mentioned in the introductory parts, were evaluated in this survey. The main aim of this study is to identify different knowledge base modelling and manipulation techniques based on 4 categories; 1) linguistic knowledge base; 2) expert knowledge base; 3) ontology and 4) cognitive knowledge base. This led to the proposition of 8 research questions, which focused on the different categories of knowledge base modelling technologies, their underlying theories, knowledge representation technique, knowledge acquisition technique, challenges, applications, development tools and development languages. A part of the findings from this survey is the high dependence of linguistic knowledge base, expert knowledge base and ontology on volatile expert knowledge. A promising technique for knowledge-based business management and other knowledge related applications is also discussed.

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Semantic Web for manufacturing, trends and open issues

Cited by 41 publications

References 37 publications

Engenharia Baseada Em Conhecimento Aplicada Ao Conceito Dfma: Análise Bibliométrica E Sistêmica

Engenharia Baseada Em Conhecimento Aplicada Ao Conceito Dfma: Análise Bibliométrica E Sistêmica

A review of representation models of tolerance information

Towards knowledge modeling and manipulation technologies: A survey

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