E
Esmond Neil Urwin
Researcher at Loughborough University
Publications - 24
Citations - 195
Esmond Neil Urwin is an academic researcher from Loughborough University. The author has contributed to research in topics: Interoperability & Ontology (information science). The author has an hindex of 7, co-authored 21 publications receiving 161 citations. Previous affiliations of Esmond Neil Urwin include University of Nottingham.
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Knowledge based requirement engineering for one-of-a-kind complex systems
TL;DR: The approach provides a generic view of key RE processes clustered into three groups of activities: requirement elicitation, analysis and negotiation and is supported by a set of knowledge functions aimed at facilitating the requirement engineers in matching customer requirements to product characteristics.
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An ontology supported risk assessment approach for the intelligent configuration of supply networks
Claire Palmer,Esmond Neil Urwin,Ali Niknejad,Dobrila Petrovic,Keith Popplewell,Robert I. M. Young +5 more
TL;DR: A reference ontology is put forward to support risk assessment for product-service systems applied to the domain of global production networks to help accelerate the development of information systems by way of developing a common foundation to improve interoperability and the seamless exchange of information between systems and organisations.
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Reference ontologies to support the development of global production network systems
Claire Palmer,Esmond Neil Urwin,Jose Miguel Pinazo-Sánchez,Francisco Sánchez Cid,Ester Palacios Rodríguez,Sonja Pajkovska-Goceva,Robert I. M. Young +6 more
TL;DR: Preliminary results for the capture and modelling of end-user information, an initial higher level reference core ontology for the development of reference ontologies, and the formal logical modelling of Level 1 of the FLEXINET reference ontology using a Common Logic based approach are presented.
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The reuse of machining knowledge to improve designer awareness through the configuration of knowledge libraries in PLM
TL;DR: In this paper, a lightweight ontology is proposed to capture and represent machining knowledge so that it can be shared and reused by design engineers to accelerate the design-make process of aerospace products.
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A reference ontology approach to support global product-service production
TL;DR: A reference ontology that has been developed to enable the interoperation of software tools involved in the global production of new product-services systems (PSS) is put forward using a formal logic-based approach.