Titlebook: Information Search, Integration and Personalization; International Worksh Yuzuru Tanaka,Nicolas Spyratos,Carlo Meghini Conference proceedin

乐器演奏者

Parallelism and Rewriting for Big Data Processing achieve acceptable performance. However, as the size of data is ever increasing, even parallelism will meet its limits unless it is combined with other powerful processing techniques. In this paper we propose to combine parallelism with rewriting, that is . previous results stored in a cache in ord

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Toward Cost-Aware Semantic Caching in the Cloudr physics, meteorology, etc.). However, this new paradigm requires rethinking of database management principles in order to allow deployment on scalable and easy to access infrastructures, applying a pay-as-you-go model. This position paper introduces building blocks to provide cost-aware semantic c

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Specifying the Federation Structure among Application Smart Objects by Example through Direct Manipuach models each smart object federation as a catalytic reaction. Each reaction is modeled as an RNA (RiboNucleic Acid) replication with or without a regulation switch in the biological world. Thus, it is possible to describe a complex scenario as a catalytic reaction network where the result of a re

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Information Visualization for Chronic Patient’s Data and time granularity, and the number of chronic disease patients increases yearly. However, clinicians have limited time to review and process patient data. Information visualization is therefore required for the efficient management and utilization of the data. The management of chronic disease re

飞镖

Exploiting Semantic and Social Information in Recommendation Algorithms to . explore the network using depth-first search and breath-first search strategies. We apply these algorithms to a real data set and we compare them with item-based collaborative filtering and hybrid recommendation algorithms. Our experiments show that our algorithms outperform existing recommend

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