In a scenario with “traditional” and “multimedia” data sources, this position paper discusses the following question: “How can a multimedia local source (e.g., Windsurf) supporting ranking queries be integrated into a mediator system without such capabilities (e.g., MOMIS)?” More precisely, “How to support ranking queries coming from a multimedia local source within a mediator system with a “traditional” query processor based on an SQL-engine?” We first describe a na¨ıve approach for the execution of range and Top-K global queries where the MOMIS query processing method remains substantially unchanged, but, in the case of Top-K queries, it does not guarantee to obtain K results. We then discuss two alternative modalities for allowing MOMIS to return the Top-K best results of a global query.
Bartolini, I., Beneventano, D., Bergamaschi, S., Ciaccia, P., Corni, A., Orsini, M., et al. (2015). MOMIS Goes Multimedia: WINDSURF and the Case of Top-K Queries. New York : Curran Associates, Inc..
MOMIS Goes Multimedia: WINDSURF and the Case of Top-K Queries
BARTOLINI, ILARIA;CIACCIA, PAOLO;PATELLA, MARCO;
2015
Abstract
In a scenario with “traditional” and “multimedia” data sources, this position paper discusses the following question: “How can a multimedia local source (e.g., Windsurf) supporting ranking queries be integrated into a mediator system without such capabilities (e.g., MOMIS)?” More precisely, “How to support ranking queries coming from a multimedia local source within a mediator system with a “traditional” query processor based on an SQL-engine?” We first describe a na¨ıve approach for the execution of range and Top-K global queries where the MOMIS query processing method remains substantially unchanged, but, in the case of Top-K queries, it does not guarantee to obtain K results. We then discuss two alternative modalities for allowing MOMIS to return the Top-K best results of a global query.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
