A framework for expressing and combining preferences
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
In-context peer-to-peer information filtering on the Web
ACM SIGMOD Record
Comprehensive Structured Context Profiles (CSCP): Design and Experiences
PERCOMW '04 Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops
A general methodology for context-aware data access
Proceedings of the 4th ACM international workshop on Data engineering for wireless and mobile access
Ontology-Based Information Tailoring
ICDEW '06 Proceedings of the 22nd International Conference on Data Engineering Workshops
Context Integration for Mobile Data Tailoring
MDM '06 Proceedings of the 7th International Conference on Mobile Data Management
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The goal of this paper is the introduction of a methodology for designing context-driven data selection, that is the possibility to tailor the available, usually too rich, data to be held on portable mobile devices, according to context First of all, we will introduce the concept of context and its model, a data structure that expresses knowledge on the user, the environment and the possible scenarios We will then focus on the proposed methodology for selecting, by means of such information, the relevant data to be made available on a user device An application of the proposed methodology is the possibility to select data of interest for portable devices, where computation, memory, power and connectivity resources are limited, and thus, tailororing the available, usually too rich, data according to context is a mandatory task.