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The contextual map - A context model for detecting affinity between contexts

  • Technical University of Munich

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Context-awareness represents an important research domain in mobile computing by utilizing information about persons, places and objects anytime and anywhere. The highly dynamic contexts created by this paradigm raise questions how to efficiently determine alikeness and affinity between such contexts. Inspired by mechanisms from location-aware computing, we tackle the issue of contextual proximity by constructing an n-dimensional map-model, which serves as a context model for regular context repositories. This Contextual Map enables us to store non-location contexts in a map-based way. Further, this model enables us to conduct location-based n-dimensional proximity detection on the non-location contexts, hence giving us the possibility to determine contextual proximity. This paper introduces the contextual map model, describing how principles from the location-based service domain can be leveraged on general context-aware computing and how they can be employed to detect affinities between different contexts.

Original languageEnglish
Title of host publicationMobile Wireless Middleware, Operating Systems, and Applications - Second International Conference, Mobilware 2009, Proceedings
Pages171-184
Number of pages14
DOIs
StatePublished - 2009
Event2nd International Conference on Mobile Wireless Middleware, Operating Systems, and Applications, Mobilware 2009 - Berlin, Germany
Duration: 28 Apr 200929 Apr 2009

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering
Volume7 LNICST
ISSN (Print)1867-8211

Conference

Conference2nd International Conference on Mobile Wireless Middleware, Operating Systems, and Applications, Mobilware 2009
Country/TerritoryGermany
CityBerlin
Period28/04/0929/04/09

Keywords

  • Context-aware computing
  • Contextual affinities
  • Contextual boundaries
  • Proximity detection

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