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FRAGOLA: Fabulous RAnking of GastrOnomy LocAtions
Ana Alvarado, Oriana Baldizán, Marlene Goncalves, and María-Esther Vidal
Universidad Simón Bolívar, Venezuelaaalvarado@ldc.usb.ve
obaldizan@ldc.usb.ve
mgoncalves@ldc.usb.ve
mvidal@ldc.usb.ve
Abstract. Nowadays, large open datasets are frequently accessed to select, for example, restaurants that best meet gastronomy criteria and are closer to their current geo-spatial locations. We have developed a skyline-based ranking approach named FOPA, which is able to efficiently rank resources that fullfil this type of multi-objective queries. As a proof of concept, we developed FRAGOLA (Fabulous RAnking of GastrOnomy LocAtions), a tool that implements FOPA and ranks gastronomy locations based on multi-objective criteria. We will demonstrate FRAGOLA, and attendees will observe scenarios where FOPA overcomes performance of existing skyline-based approaches by up to two orders of magnitude.
LNCS 8186, p. 408 ff.
lncs@springer.com
© Springer-Verlag Berlin Heidelberg 2013