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Abstract

Cost-efficient use of big data by enterprises is challenging. Data from multiple heterogeneous sources are typically combined. This data needs to be handled by various interacting components in different systems for automated transformation, filtering, processing and analysis, as well as for representation according to adopted industry standards and interpretation according to prevailing industry models. The derived information may be shared with many other systems, and applied for many purposes. Hence, big data interoperability and integration is a major concern that must be addressed at different levels and along the (extended) value chain. The Big Data Interoperability for Enterprises Workshop comprises eight paper presentations covering data interoperability problems and solutions at different points in the value chain and for different industrial sectors and application areas.
Original languageUndefined
Title of host publicationEnterprise Interoperability in the Digitized and Networked Factory of the Future
EditorsMartin Zelm, Guy Doumeingts, Joao Pedro Mendonca
Place of PublicationUK
PublisherInternational Society for Technology in Education
Pages268-269
Number of pages2
ISBN (Print)9781847040442
Publication statusPublished - Sep 2016

Publication series

Name
PublisherISTE

Keywords

  • Analysis
  • Big data interoperability
  • METIS-319463
  • IR-102547
  • Data wrangling
  • EWI-27319
  • Prediction
  • Enterprise interoperability
  • Multi-level modelling
  • SCS-Services

Cite this

van Sinderen, M. J., & Iacob, M. E. (2016). Workshop C2 Report - Big Data Interoperability for Enterprises. In M. Zelm, G. Doumeingts, & J. P. Mendonca (Eds.), Enterprise Interoperability in the Digitized and Networked Factory of the Future (pp. 268-269). UK: International Society for Technology in Education.
van Sinderen, Marten J. ; Iacob, Maria Eugenia. / Workshop C2 Report - Big Data Interoperability for Enterprises. Enterprise Interoperability in the Digitized and Networked Factory of the Future. editor / Martin Zelm ; Guy Doumeingts ; Joao Pedro Mendonca. UK : International Society for Technology in Education, 2016. pp. 268-269
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abstract = "Cost-efficient use of big data by enterprises is challenging. Data from multiple heterogeneous sources are typically combined. This data needs to be handled by various interacting components in different systems for automated transformation, filtering, processing and analysis, as well as for representation according to adopted industry standards and interpretation according to prevailing industry models. The derived information may be shared with many other systems, and applied for many purposes. Hence, big data interoperability and integration is a major concern that must be addressed at different levels and along the (extended) value chain. The Big Data Interoperability for Enterprises Workshop comprises eight paper presentations covering data interoperability problems and solutions at different points in the value chain and for different industrial sectors and application areas.",
keywords = "Analysis, Big data interoperability, METIS-319463, IR-102547, Data wrangling, EWI-27319, Prediction, Enterprise interoperability, Multi-level modelling, SCS-Services",
author = "{van Sinderen}, {Marten J.} and Iacob, {Maria Eugenia}",
note = "eemcs-eprint-27319",
year = "2016",
month = "9",
language = "Undefined",
isbn = "9781847040442",
publisher = "International Society for Technology in Education",
pages = "268--269",
editor = "Martin Zelm and Guy Doumeingts and Mendonca, {Joao Pedro}",
booktitle = "Enterprise Interoperability in the Digitized and Networked Factory of the Future",

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van Sinderen, MJ & Iacob, ME 2016, Workshop C2 Report - Big Data Interoperability for Enterprises. in M Zelm, G Doumeingts & JP Mendonca (eds), Enterprise Interoperability in the Digitized and Networked Factory of the Future. International Society for Technology in Education, UK, pp. 268-269.

Workshop C2 Report - Big Data Interoperability for Enterprises. / van Sinderen, Marten J.; Iacob, Maria Eugenia.

Enterprise Interoperability in the Digitized and Networked Factory of the Future. ed. / Martin Zelm; Guy Doumeingts; Joao Pedro Mendonca. UK : International Society for Technology in Education, 2016. p. 268-269.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

TY - CHAP

T1 - Workshop C2 Report - Big Data Interoperability for Enterprises

AU - van Sinderen, Marten J.

AU - Iacob, Maria Eugenia

N1 - eemcs-eprint-27319

PY - 2016/9

Y1 - 2016/9

N2 - Cost-efficient use of big data by enterprises is challenging. Data from multiple heterogeneous sources are typically combined. This data needs to be handled by various interacting components in different systems for automated transformation, filtering, processing and analysis, as well as for representation according to adopted industry standards and interpretation according to prevailing industry models. The derived information may be shared with many other systems, and applied for many purposes. Hence, big data interoperability and integration is a major concern that must be addressed at different levels and along the (extended) value chain. The Big Data Interoperability for Enterprises Workshop comprises eight paper presentations covering data interoperability problems and solutions at different points in the value chain and for different industrial sectors and application areas.

AB - Cost-efficient use of big data by enterprises is challenging. Data from multiple heterogeneous sources are typically combined. This data needs to be handled by various interacting components in different systems for automated transformation, filtering, processing and analysis, as well as for representation according to adopted industry standards and interpretation according to prevailing industry models. The derived information may be shared with many other systems, and applied for many purposes. Hence, big data interoperability and integration is a major concern that must be addressed at different levels and along the (extended) value chain. The Big Data Interoperability for Enterprises Workshop comprises eight paper presentations covering data interoperability problems and solutions at different points in the value chain and for different industrial sectors and application areas.

KW - Analysis

KW - Big data interoperability

KW - METIS-319463

KW - IR-102547

KW - Data wrangling

KW - EWI-27319

KW - Prediction

KW - Enterprise interoperability

KW - Multi-level modelling

KW - SCS-Services

M3 - Chapter

SN - 9781847040442

SP - 268

EP - 269

BT - Enterprise Interoperability in the Digitized and Networked Factory of the Future

A2 - Zelm, Martin

A2 - Doumeingts, Guy

A2 - Mendonca, Joao Pedro

PB - International Society for Technology in Education

CY - UK

ER -

van Sinderen MJ, Iacob ME. Workshop C2 Report - Big Data Interoperability for Enterprises. In Zelm M, Doumeingts G, Mendonca JP, editors, Enterprise Interoperability in the Digitized and Networked Factory of the Future. UK: International Society for Technology in Education. 2016. p. 268-269