Semantic Data Caching and Replacement
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Data management in ad-hoc scenarios is an essential problem at any pervasive scenario based on cooperative device ensembles. At MuSAMA (Multimodal Smart Appliance Ensembles for Mobile Applications [6]), a project dealing with the fact of assistance in smart scenarios we believe that pervasive technologies are essential for our future everyday environments to assist its users e.g. elderlies proactive. Members (devices) of such ensembles need to be able to cooperate spontaneously and without human guidance in order to achieve their joint goal of assisting the user. One part of assistance is data provision regarding the challenges of ad-hoc dynamics. In cooperation with the Marika project (Mobile Assistance for Route Information and Electronic Health Record) as outlined in [10] we have to focus on care relative information exchange. Following Franklin [4] we believe that data management is essential to reach the goal of pervasive assistance in smart scenarios. There is one major problem we have to focus on: data loss in ad-hoc scenrios because of leaving ensemble members. To overcome this problem caching solutions like the approach of semantic caching (SC) as introduced in [2, 3] can be used. Here SCs are outlined to bridge the gap between local data management for data reuse and communication efforts. In this paper we observe the network overhead and query performance of a standard information retrieval system versus our implementation of semantic caching.