TY - CHAP
T1 - FACIT-SME
T2 - A semantic recommendation system for enterprise knowledge interoperability
AU - Jaekel, Frank Walter
AU - Parmiggiani, Elena
AU - Tarsitano, Giuseppe
AU - Aceto, Giacomo
AU - Benguria, Gorka
N1 - Publisher Copyright:
© Springer-Verlag London Limited 2012.
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - Concepts, theories and principles for solving enterprise interoperability problems
KW - Semantic mediation and enrichment of enterprise models
KW - Semantic web based approaches
KW - Synchronisation of models
UR - http://www.scopus.com/inward/record.url?scp=85047327687&partnerID=8YFLogxK
U2 - 10.1007/978-1-4471-2819-9_12
DO - 10.1007/978-1-4471-2819-9_12
M3 - Chapter
AN - SCOPUS:85047327687
T3 - Proceedings of the I-ESA Conferences
SP - 129
EP - 139
BT - Proceedings of the I-ESA Conferences
PB - Springer International Publishing
ER -