A Knowledge Dashboard for Manufacturing Industries

Mazumdar, Suvodeep; Varga, Andrea; Lanfranchi, Vitaveska; Petrelli, Daniela; Ciravegna, Fabio

doi:10.1007/978-3-642-25953-1_10

Cited by 15 publications

(13 citation statements)

References 20 publications

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“…Certain models extend their coverage of PLM and reach out to other process-centric paradigms such as Manufacturing Execution Systems (MES) [1,7], Enterprise Resource Planning (ERP) [1] and Customer Relationship Management (CRM) [8], forming a synergy that would increase even more the potential of sustainable growth in revenue, profitability and market share. Proposed methods use various semantic exchange mechanisms such as mediation web services [1,9], Service-Oriented Architecture (SOA) semantic services [6,9], intelligent agents [2,10], Extraction, Transformation and Load (ETL) [4,11] and Enterprise Application Integration (EAI) message broadcasting [5] to resolve the syntactic and semantic heterogeneity between the systems.…”

Section: Related Workmentioning

confidence: 99%

“…The applications annotate text files using W3C standards for XML, adding rich meta-information [2,6,9]. Knowledge structuring Knowledge is structured after extraction from data into knowledge representation formats such as RDF triples [4,6]. Knowledge storage…”

Section: Related Workmentioning

confidence: 99%

“…As highlighted by [4] and illustrated in figure 4, one of the more efficient and popular mean to distribute information consists in pulling decontextualized data from RA-EKI's core database and then re-contextualizing the data in the form of a user-friendly dashboard. The dashboard publisher is ontology based in RA-EKI.…”

Section: Transformation Of Structured Data Into Informationmentioning

confidence: 99%

“…RA-EKI knowledge extraction application stores extracted knowledge into the core database in transit to the downstream ontology building application. Various ontology-building methods are proposed in [4,6,16]. See figure 5 for the transformation of information into knowledge.…”

Section: Transformation Of Information Into Knowledgementioning

confidence: 99%

“…Such a heterogeneous information environment conceals crucial knowledge. Locating and retrieving such knowledge imposes costly processes and specialized human resources [4].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A Reference Architecture for an Enterprise Knowledge Infrastructure

Fitzpatrick

Coallier

Ratté

2013

Product Lifecycle Management for Society

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Abstract. With the emergence of social media, data available for market analytics has grown significantly, especially in the context of product lifecycle value analysis. Existing architecture frameworks do not support knowledge management, required to process massive amount of market data, or 'big data'. In order to perform product lifecycle value analysis, product managers need to access, in a seamless manner, data from several domains from systems within the organization and from external sources such as social media, government and industry sites, to name a few. The structured and integrated data must then be transformed into information, or contextualized data, and ultimately into actionable information or knowledge. To achieve this objective, this paper proposes an innovative approach, the Reference Architecture of an Enterprise Knowledge Infrastructure (RA-EKI) that provides a holistic approach to manage the complete knowledge lifecycle.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Transformation Of Structured Data Into Informationmentioning

confidence: 99%

Section: Transformation Of Information Into Knowledgementioning

confidence: 99%

“…Such a heterogeneous information environment conceals crucial knowledge. Locating and retrieving such knowledge imposes costly processes and specialized human resources [4].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Reference Architecture for an Enterprise Knowledge Infrastructure

Fitzpatrick

Coallier

Ratté

2013

Product Lifecycle Management for Society

View full text Add to dashboard Cite

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Web-Based Executive Dashboard Reports for Public Works Clients in Construction Industry

Alvansazyazdi

Reyes

Borghei³

et al. 2019

Advances in Intelligent Systems and Computing

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A Conceptual Knowledge Visualisation Framework for Transfer of Knowledge: An Organisational Context

Smuts

Scholtz

2020

Lecture Notes in Computer Science

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Revolutionary advances in science and technology enables organisations to apply and optimise a world of visual and experiential learning in order to enhance the skills and knowledge of their employees. Furthermore, the volume and complexity of knowledge and information are such that unless a reporting structure is overlaid upon it, it may remain meaningless. Knowledge visualisation uses graphical representations to convey organisational knowledge, enabling employees to share and recall relevant knowledge. However, in order to assist organisations to create and transfer knowledge more effectively through knowledge visualisation, the aim of this study is to provide a conceptual knowledge visualisation framework for the transfer of knowledge for organisations. A conceptual knowledge visualisation framework was designed through a systematic literature review process where 15 organisational knowledge visualisation elements were identified. The 15 elements were grouped and presented in a 4-layered, embedded conceptual framework that organisations may apply to their knowledge visualisation efforts. By using such a framework, organisations may optimise learning and improve knowledge and skills of its employees.

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A Knowledge Dashboard for Manufacturing Industries

Cited by 15 publications

References 20 publications

A Reference Architecture for an Enterprise Knowledge Infrastructure

A Reference Architecture for an Enterprise Knowledge Infrastructure

Web-Based Executive Dashboard Reports for Public Works Clients in Construction Industry

A Conceptual Knowledge Visualisation Framework for Transfer of Knowledge: An Organisational Context

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