Article

Using ontologies in personalized mobile applications

Authors:

Norbert Weiβenberg,

Agnès Voisard,

Rüdiger GartmannAuthors Info & Claims

GIS '04: Proceedings of the 12th annual ACM international workshop on Geographic information systems

Pages 2 - 11

https://doi.org/10.1145/1032222.1032225

Published: 12 November 2004 Publication History

Abstract

Mobile devices such as personal digital assistants (PDAs) and mobile phones are in widespread use already today and converging to mobile smart phones. They enable the users to access a wide range of services and information without guiding them through their actual demands. Especially during mass events like the Olympic Games 2008 in Beijing - which was initially the context of our work - a large service space is expected to support all mobile visitors, being athletes, journalists, or spectators. Current approaches tackling such problems are location-based (i.e., location-based services), meaning that a user's location is taken into consideration for service provision, and even context-aware, meaning that beyond location other characteristics of a user's environment are taken into account. Such information obviously helps to deliver relevant information at the right time to the mobile users. Going one step further, a situation-aware system abstracts from the context dimensions by translating specific contexts into logical situations (such as being in the car, in a stadium). Even though many context frameworks have been introduced in the past few years, what is usually missing is the notion of characteristic features of contexts which are invariant during certain time intervals. We refer to such features as situations. Knowing the situation end users are in allows the system to better target the information to be delivered to them. This paper presents the main concepts developed for a platform named FLAME2008, which is able to support its mobile users with personalized situation-aware services in push and pull mode.

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Cited By

Iqbal MCh NShahzad SNaqvi MKhan BAli Z(2021)User Context Ontology for Adaptive Mobile-Phone InterfacesIEEE Access10.1109/ACCESS.2021.30953009(96751-96762)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3095300
Alnahdi A(2020)Mobile Application Development OntologyProceedings of the 10th International Conference on Information Systems and Technologies10.1145/3447568.3448533(1-6)Online publication date: 4-Jun-2020
https://dl.acm.org/doi/10.1145/3447568.3448533
Uddin IRakib AHaque HVinh P(2018)Modeling and Reasoning about Preference-Based Context-Aware Agents over Heterogeneous Knowledge SourcesMobile Networks and Applications10.1007/s11036-017-0899-523:1(13-26)Online publication date: 1-Feb-2018
https://dl.acm.org/doi/10.1007/s11036-017-0899-5
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Index Terms

Using ontologies in personalized mobile applications
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Recommender systems
    2. Users and interactive retrieval
      1. Personalization
  2. World Wide Web
    1. Web searching and information discovery
      1. Personalization

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cover image ACM Conferences

GIS '04: Proceedings of the 12th annual ACM international workshop on Geographic information systems

November 2004

282 pages

ISBN:1581139799

DOI:10.1145/1032222

Program Chairs:
Isabel F. Cruz
University of Illinois at Chicago
,
Dieter Pfoser
Research Academic Computer Technology Institute, Greece

Copyright © 2004 ACM.

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Published: 12 November 2004

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CIKM04: Conference on Information and Knowledge Management

November 12 - 13, 2004

Washington DC, USA

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Overall Acceptance Rate 257 of 1,238 submissions, 21%

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Cited By

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https://doi.org/10.1109/ACCESS.2021.3095300
Alnahdi A(2020)Mobile Application Development OntologyProceedings of the 10th International Conference on Information Systems and Technologies10.1145/3447568.3448533(1-6)Online publication date: 4-Jun-2020
https://dl.acm.org/doi/10.1145/3447568.3448533
Uddin IRakib AHaque HVinh P(2018)Modeling and Reasoning about Preference-Based Context-Aware Agents over Heterogeneous Knowledge SourcesMobile Networks and Applications10.1007/s11036-017-0899-523:1(13-26)Online publication date: 1-Feb-2018
https://dl.acm.org/doi/10.1007/s11036-017-0899-5
Nuhn ETimpf S(2017)Personal Dimensions of LandmarksSocietal Geo-innovation10.1007/978-3-319-56759-4_8(129-143)Online publication date: 5-Apr-2017
https://doi.org/10.1007/978-3-319-56759-4_8
Bacha FMarçal de Oliveira KAbed M(2014)A Context-Aware MDA Approach for Content Personalization in User Interface DevelopmentAdvances and Applications in Model-Driven Engineering10.4018/978-1-4666-4494-6.ch005(88-105)Online publication date: 2014
https://doi.org/10.4018/978-1-4666-4494-6.ch005
Nassar LKarray FKamel M(2014)VANET IR-CAS for Commercial SA: Information Retrieval Context Aware System for VANET Commercial Service AnnouncementInternational Journal of Intelligent Transportation Systems Research10.1007/s13177-014-0078-z13:1(37-49)Online publication date: 5-Feb-2014
https://doi.org/10.1007/s13177-014-0078-z
Bravo MGallardo LCruz H(2014)Semantic Search of Academic Resources in a Mobile Computing PlatformProceedings of the Confederated International Workshops on On the Move to Meaningful Internet Systems: OTM 2014 Workshops - Volume 884210.1007/978-3-662-45550-0_56(547-556)Online publication date: 27-Oct-2014
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Marcovecchio IEstevez EFillottrani P(2013)Government chief information officer (GCIO) ontologyProceedings of the 7th International Conference on Theory and Practice of Electronic Governance10.1145/2591888.2591894(32-41)Online publication date: 22-Oct-2013
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Stewart KFan JWhite E(2013)Thinking about Space‐Time Connections: Spatiotemporal Scheduling of Individual ActivitiesTransactions in GIS10.1111/tgis.1202817:6(791-807)Online publication date: 17-May-2013
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Kuflik TKay JKummerfeld B(2012)Challenges and Solutions of Ubiquitous User ModelingUbiquitous Display Environments10.1007/978-3-642-27663-7_2(7-30)Online publication date: 19-Apr-2012
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