Abstract
In this chapter, collective intelligence principles are applied in the context of the Linguistic Atlas of Sicily (ALS - Atlante Linguistico Siciliano), an interdisciplinary research focusing on the study of the Italian language as it is spoken in Sicily, and its correlation with the Sicilian dialect and other regional varieties spoken in Sicily. The project has been developed over the past two decades and includes a complex information system supporting linguistic research; recently it has grown to allow research scientists to cooperate in an integrated environment to produce significant scientific advances in the field of ethnologic and sociolinguistic research. An interoperable infrastructure has been implemented and organized to allow exchange of information and knowledge between researchers providing tools and methodologies to allow collective reasoning over shared concepts. The project uses different types of data (structured, unstructured, multimedia) that require tight integration and interoperability. Additionally, the framework allows for data aggregation into shared concepts that can be exchanged between researchers and constitute a common knowledge base for the entire research community of the ALS.
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Acknowledgments
This work has been partially funded under the Programma di Rilevante Interesse Nazionale (PRIN) 2009, entitled: “Atlante Linguistico della Sicilia: variazione linguistica e etnodialettologia fra nuovi modelli e nuove aree di investigazione" Authors would like to thank the ALS development team lead by prof. Giovanni Ruffino, and are especially indebted with Prof. Maria D’Agostino, Prof. Marina Castiglione, Dr. Luisa Amenta, Dr. Vito Matranga, Dr. Roberto Sottile, Dr. Giuseppe Paternostro and the many Ph.D. students at ALS for the extenuating and thoughtful discussions on the definition of the framework.
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Pirrone, D., Russo, G., Gentile, A., Pirrone, R. (2014). Collective Reasoning Over Shared Concepts for the Linguistic Atlas of Sicily. In: Xhafa, F., Bessis, N. (eds) Inter-cooperative Collective Intelligence: Techniques and Applications. Studies in Computational Intelligence, vol 495. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35016-0_15
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