Data replication for mobile computers
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
An adaptive data replication algorithm
ACM Transactions on Database Systems (TODS)
Multi-sensor context-awareness in mobile devices and smart artifacts
Mobile Networks and Applications
Understanding and Using Context
Personal and Ubiquitous Computing
Physical Prototyping with Smart-Its
IEEE Pervasive Computing
Context-based design of mobile applications for museums: a survey of existing practices
Proceedings of the 7th international conference on Human computer interaction with mobile devices & services
Dynamic data replication and consistency in mobile environments
DSM '05 Proceedings of the 2nd international doctoral symposium on Middleware
An adaptive middleware framework for context-aware applications
Personal and Ubiquitous Computing
A data-oriented survey of context models
ACM SIGMOD Record
Dynamic context management for pervasive applications
The Knowledge Engineering Review
An activity-driven model for context-awareness in mobile computing
Proceedings of the 10th international conference on Human computer interaction with mobile devices and services
ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
Middleware for distributed context-aware systems
OTM'05 Proceedings of the 2005 Confederated international conference on On the Move to Meaningful Internet Systems - Volume >Part I
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part II
Context-driven RDF data replication on mobile devices
Semantic Web - On real-time and ubiquitous social semantics
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With the continuously growing amount of structured data available on the Semantic Web there is an increasing desire to replicate such data to mobile devices. This enables services and applications to operate independently of the network connection quality. Traditional replication strategies cannot be properly applied to mobile systems because they do not adopt to changing user information needs, and do not consider the technical, environmental, and infrastructural restrictions of mobile devices. Therefore, it is reasonable to consider contextual information, gathered from physical and logical sensors, in the replication process, and replicate only data that are actually needed by the user. In this paper we present a framework that uses Semantic Web technologies to build comprehensive descriptions of the user's information needs based on contextual information, and employs these descriptions to selectively replicate data from external sources. In consequence, the amounts of replicated data are reduced, while a maximum share of relevant data are continuously available to be used by applications, even in situations with limited or no network connectivity.