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Applying model-driven engineering to the development of Rich Internet Applications for Business Intelligence

Author

Listed:
  • Jesús M. Hermida

    (University of Alicante)

  • Santiago Meliá

    (University of Alicante)

  • Andrés Montoyo

    (University of Alicante)

  • Jaime Gómez

    (University of Alicante)

Abstract

Business Intelligence (BI) applications have been gradually ported to the Web in search of a global platform for the consumption and publication of data and services. On the Internet, apart from techniques for data/knowledge management, BI Web applications need interfaces with a high level of interoperability (similar to the traditional desktop interfaces) for the visualisation of data/knowledge. In some cases, this has been provided by Rich Internet Applications (RIA). The development of these BI RIAs is a process traditionally performed manually and, given the complexity of the final application, it is a process which might be prone to errors. The application of model-driven engineering techniques can reduce the cost of development and maintenance (in terms of time and resources) of these applications, as they demonstrated by other types of Web applications. In the light of these issues, the paper introduces the Sm4RIA-B methodology, i.e., a model-driven methodology for the development of RIA as BI Web applications. In order to overcome the limitations of RIA regarding knowledge management from the Web, this paper also presents a new RIA platform for BI, called RI@BI, which extends the functionalities of traditional RIAs by means of Semantic Web technologies and B2B techniques. Finally, we evaluate the whole approach on a case study—the development of a social network site for an enterprise project manager.

Suggested Citation

  • Jesús M. Hermida & Santiago Meliá & Andrés Montoyo & Jaime Gómez, 2013. "Applying model-driven engineering to the development of Rich Internet Applications for Business Intelligence," Information Systems Frontiers, Springer, vol. 15(3), pages 411-431, July.
    • Handle: RePEc:spr:infosf:v:15:y:2013:i:3:d:10.1007_s10796-012-9402-9
    DOI: 10.1007/s10796-012-9402-9
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    References listed on IDEAS

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    1. Joseph Barjis & Ashish Gupta & Ramesh Sharda, 2011. "Knowledge work and communication challenges in networked enterprises," Information Systems Frontiers, Springer, vol. 13(5), pages 615-619, November.
    2. Thomas H. Davenport, 2000. "The Future of Enterprise System-Enabled Organizations," Information Systems Frontiers, Springer, vol. 2(2), pages 163-180, August.
    3. Christian Bizer & Tom Heath & Tim Berners-Lee, 2009. "Linked Data - The Story So Far," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 5(3), pages 1-22, July.
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    Cited by:

    1. Malu Castellanos & Florian Daniel & Irene Garrigós & Jose-Norberto Mazón, 2013. "Business Intelligence and the Web," Information Systems Frontiers, Springer, vol. 15(3), pages 307-309, July.
    2. Yan Li & Manoj A. Thomas & Kweku-Muata Osei-Bryson, 2017. "Ontology-based data mining model management for self-service knowledge discovery," Information Systems Frontiers, Springer, vol. 19(4), pages 925-943, August.

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