Abstract
In the landscape of Small and Medium Enterprises (SMEs) acting in the field of ICT, several Software Engineering methodologies and quality models are available. The FACIT-SME European FP-7 project (http://www.facit-sme.eu/) has the purpose to help SMEs in retrieving and exploiting such knowledge in order to find the development methodologies that best suit their characteristics. However, to achieve this result, the possibly huge amount of data should be filtered and organized from a semantic point of view. This paper targets the problem of acquiring and filtering this knowledge and of using it in order to provide a SME with suggestions about the best choises to make. The approach is meant to foster interoperability among SMEs, by performing semi-automatic extraction, synchronization and comparison of heterogeneous methodologies and quality models. The tool chosen to perform this task is a semantic Recommendation System, that allows a context-aware extraction of such semantically rich information. The evaluation phase shows that the Recommedation System realized can be seen a “semantic equalizer”, where the parameters act as switches and can be tuned according to the enterprise’s characteristics.
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Acknowledgement
The research leading to these results has been developed in the context of the FACIT-SME project (www.facit-sme.eu) partly founded from the European Community's Seventh Framework Programme managed by REA Research Executive Agency (http://ec.europa.eu/research/rea) ([FP7/2007-2013] [FP7/2007 - 2011]) under grant agreement n° 243695. The authors wish to acknowledge the Commission for their support. We also wish to acknowledge our gratitude and appreciation to Riccardo Martoglia (University of Modena and Reggio Emilia) for the precious work he did, to Prof. Sonia Bergamaschi (University of Modena and Reggio Emilia), for her invaluable suggestions, and to all the FACIT-SME Project partners for their contribution during the development of various ideas and concepts presented in this paper.
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Jaekel, FW., Parmiggiani, E., Tarsitano, G., Aceto, G., Benguria, G. (2012). FACIT-SME: A Semantic Recommendation System for Enterprise Knowledge Interoperability. In: Poler, R., Doumeingts, G., Katzy, B., Chalmeta, R. (eds) Enterprise Interoperability V. Proceedings of the I-ESA Conferences, vol 5. Springer, London. https://doi.org/10.1007/978-1-4471-2819-9_12
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DOI: https://doi.org/10.1007/978-1-4471-2819-9_12
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