Applying semantic web technologies to knowledge sharing in aerospace engineering

Dadzie, Aba-Sah; Bhagdev, Ravish; Chakravarthy, Ajay; Chapman, Sam; Iria, José; Lanfranchi, Vitaveska; Magalhães, João; Petrelli, Daniela; Ciravegna, Fabio

doi:10.1007/s10845-008-0141-1

Cited by 29 publications

(19 citation statements)

References 17 publications

(11 reference statements)

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“…The development of the Semantic Web depends on a shared understanding with structured mark-up languages using formally defined ontology encoding (Dadzie et al, 2009, Benn et al, 2008, Chen et al, 2008. This means that for the Semantic Web to work, online content needs to be codified with meta-tags such as keywords for search-optimised discovery and presentation.…”

Section: Contentmentioning

confidence: 99%

A dynamic knowledge management framework for the high value manufacturing industry

Piorkowski

Gao

Martin

2013

International Journal of Production Research

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Dynamic Knowledge Management (KM) is a combination of cultural and technological factors, including the cultural factors of people and their motivations, technological factors of content and infrastructure and, where these both come together, interface factors. In this paper a Dynamic KM framework is described in the context of employees being motivated to create profit for their company through product development in high value manufacturing. It is reported how the framework was discussed during a meeting of the collaborating company's (BAE Systems) project stakeholders. Participants agreed the framework would have most benefit at the start of the product lifecycle before key decisions were made. The framework has been designed to support organisational learning and to reward employees that improve the position of the company in the market place.

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Section: Contentmentioning

confidence: 99%

A dynamic knowledge management framework for the high value manufacturing industry

Piorkowski

Gao

Martin

2013

International Journal of Production Research

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“…It should be recognized that throughout the search activities, the members of the teams has access to a wide range of material, some of which are discussed in related papers including Lanfranchi et al (2007) and Dadzie et al (2008).…”

Section: Personas and Scenariosmentioning

confidence: 99%

An information system to support the engineering designer

et al. 2010

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Engineering companies are currently shifting their focus from selling products to providing services, hence the products' designers must increasingly consider life-cycle requirements, in addition to conventional design parameters. To identify possible areas of concern, engineers must consider knowledge throughout the life cycle of similar or related products. However, because of the size and distributed nature of a company's operation, engineers often do not have access to front-line maintenance data. In addition, the large number of documents generated during the design and operation of a product makes it impractical to manually review all documents thoroughly during a task. As a case study, this paper discusses the concept and development of a large hypermedia based Knowledge Desktop that has been developed to support the maintenance and future design of aircraft engines. As part of the development cycle, the performance of the software and its acceptance by the user community has been fully evaluated. The evaluation method considered in this paper focuses on the subjective opinion of the users and measures the ease with which users could retrieve the information required to perform specific tasks.

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“…We perform entity recognition and relation extraction from text and regionof-interest classification from images to populate the knowledge repository ( [8] details our approach). Fig.…”

Section: Capturing Knowledgementioning

confidence: 99%

The XMediaBox: Sensemaking through the Use of Knowledge Lenses

Dadzie

Iria

Petrelli

et al. 2009

Lecture Notes in Computer Science

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Abstract. Sensemaking is the process of analysing complex situations in order to make informed decisions. Semantic Web technology can be effectively used to create new sensemaking systems that focus on concepts and knowledge instead of documents. We demonstrate how this is achieved using information extraction to acquire knowledge and create a semantic repository that can then be semantically searched. A domain ontology is used to support the creation of an analysis tree; the semantic visualisation enables knowledge discovery, a core aspect of sensemaking.Keywords: Semantic web, Knowledge acquisition, Semantic visualisation, Sensemaking. BackgroundSensemaking is the process of analysing complex and uncertain situations in order to take informed decisions [1]. It requires knowledge workers to find relevant information and formulate hypotheses based on the knowledge contained, test the hypotheses and revise the effectiveness of the decisions adopted. While some systems support only document manipulation in sensemaking (e.g., [2]), the X-Media project [3] uses Semantic Web (SW) technology and ontology-based visualisation to enable abstraction from the low level of multiple instances and more easily compose a conceptual model of a situation. Knowledge acquisition and retrieval, and visualisation are basic components of semantic sensemaking.Knowledge acquisition (KA) transforms information into knowledge via classification and extraction. While information is heterogeneous and dispersed, coming from many sources, e.g., text documents, images, tables, etc., knowledge is homogeneous and instantiates concepts and relations captured in domain ontologies. In knowledge retrieval, users search knowledge repositories to find those missing elements that would improve their understanding of the current situation. Knowledge visualisation supports visual thinking by explicitly laying out the retrieved knowledge, information and personal reflections.We demonstrate the steps we follow during analysis using the XMediaBox, developed as part of X-Media, using a non-restricted dataset. The XMediaBox has also been evaluated with experts in a realistic, knowledge-intensive setting: aerospace engineers working on gas turbine engines [4].

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Applying semantic web technologies to knowledge sharing in aerospace engineering

Cited by 29 publications

References 17 publications

A dynamic knowledge management framework for the high value manufacturing industry

A dynamic knowledge management framework for the high value manufacturing industry

An information system to support the engineering designer

The XMediaBox: Sensemaking through the Use of Knowledge Lenses

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