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An architecture for mobile social networking applications
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0003-3191-8335
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-4549-6751
2009 (English)In: 2009 First International Conference on Computational Intelligence, Modelling and Simulation, (CSSim 2009): Brno, Czech Republic, 7 - 9 September 2009 / [ed] Jiri Kunovský, Piscataway, NJ: IEEE Communications Society, 2009, p. 241-246Conference paper, Published paper (Refereed)
Abstract [en]

Mobile semantic Web provides a new way of developing context-aware social networking applications. Social networking applications are changing the way of communication by using userpsilas context-information. For example, micro-blogging has become a smart way of conveying the current situation and activity by using user context. There is currently a significant difference between using social networking applications on a static computer compared to a mobile device, even if current mobile devices are powerful and have good connectivity. The difference is primarily related to the mobility aspect since the user contexts may change more frequently and the user may not be able to interact with the mobile device. In this paper we identify common characteristics of current social networking applications and how they attract users. Finally, we propose an agent-based system architecture that is based on a distributed platform for developing semantic and semi-automated mobile social networking applications.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2009. p. 241-246
National Category
Media and Communication Technology Other Medical Engineering
Research subject
Mobile and Pervasive Computing; Medical Engineering for Healthcare
Identifiers
URN: urn:nbn:se:ltu:diva-30600DOI: 10.1109/CICSYN.2009.73Local ID: 475624d0-ad8f-11de-8293-000ea68e967bISBN: 978-0-7695-3743-6 (print)OAI: oai:DiVA.org:ltu-30600DiVA, id: diva2:1003829
Conference
International Conference on Computational Intelligence, Communication Systems and Networks : 23/07/2009 - 25/07/2009
Note
Godkänd; 2009; 20090930 (ysko)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-01-14Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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