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

Jesús M. Hermida (), Santiago Meliá (), Andrés Montoyo () and Jaime Gómez ()
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Jesús M. Hermida: University of Alicante
Santiago Meliá: University of Alicante
Andrés Montoyo: University of Alicante
Jaime Gómez: University of Alicante

Information Systems Frontiers, 2013, vol. 15, issue 3, No 7, 431 pages

Abstract: 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.

Keywords: Rich Internet Applications; Knowledge management; Sm4RIA; Model-driven Web engineering (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s10796-012-9402-9

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