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A Knowledge Dashboard for Manufacturing Industries

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Part of the book series:Lecture Notes in Computer Science ((LNISA,volume 7117))

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Abstract

The manufacturing industry offers a huge range of opportunities and challenges for exploiting semantic web technologies. Collating heterogeneous data into semantic knowledge repositories can provide immense benefits to companies, however the power of such knowledge can only be realised if end users are provided visual means to explore and analyse their datasets in a flexible and efficient way. This paper presents a high level approach to unify, structure and visualise document collections using semantic web and information extraction technologies.

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Author information

Authors and Affiliations

  1. Information School, University of Sheffield, Regent Court – 211 Portobello Street, S1 4DP, Sheffield, UK

    Suvodeep Mazumdar

  2. OAK Group, Department of Computer Science, University of Sheffield, Regent Court – 211 Portobello Street, S1 4DP, Sheffield, UK

    Andrea Varga, Vita Lanfranchi & Fabio Ciravegna

  3. Art & Design Research Centre, C3RI, Sheffield Hallam University, Furnival Building, 153 Arundel St., S1 2NU, Sheffield, UK

    Daniela Petrelli

Authors
  1. Suvodeep Mazumdar
  2. Andrea Varga
  3. Vita Lanfranchi
  4. Daniela Petrelli
  5. Fabio Ciravegna

Editor information

Raúl García-Castro Dieter Fensel Grigoris Antoniou

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© 2012 Springer-Verlag Berlin Heidelberg

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Mazumdar, S., Varga, A., Lanfranchi, V., Petrelli, D., Ciravegna, F. (2012). A Knowledge Dashboard for Manufacturing Industries. In: García-Castro, R., Fensel, D., Antoniou, G. (eds) The Semantic Web: ESWC 2011 Workshops. ESWC 2011. Lecture Notes in Computer Science, vol 7117. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25953-1_10

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