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In order to tackle the complex and time-consuming task of building context-aware applications, the literature has reported the development of service infrastructures for context management. This paper presents the service infrastructure for semantic context management Semantic Context Kernel, which provides a novel set of semantic-enabled services. Those services can be personalized according to context-aware applications' requirements so as to facilitate the prototyping of such applications. We also show how a web-based recommender system can make use of those services to store, query and reason about context.

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Considering the current efforts to deal with performance evaluation of ubiquitous computing services, we focus on evaluating a context inference service that can be configured according to applications' reasoning requirements. After detailing a performance evaluation of a context inference service with multiple inference engines over semantic context information, we discuss general reasoning-related issues that developers must take into account when building ontologybased ubiquitous applications.

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