3rd International ICST Conference on Body Area Networks

Research Article

SerPens: A Tool for Semantically Enriched Location Information on Personal Devices

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  • @INPROCEEDINGS{10.4108/ICST.BODYNETS2008.2950,
        author={Sourav Bhattacharya and Joonas  Kukkonen and Petteri  Nurmi and Patrik  Flor\^{e}en},
        title={SerPens: A Tool for Semantically Enriched Location Information on Personal Devices},
        proceedings={3rd International ICST Conference on Body Area Networks},
        publisher={ICST},
        proceedings_a={BODYNETS},
        year={2010},
        month={5},
        keywords={location-awareness location semantics data gathering},
        doi={10.4108/ICST.BODYNETS2008.2950}
    }
    
  • Sourav Bhattacharya
    Joonas Kukkonen
    Petteri Nurmi
    Patrik Floréen
    Year: 2010
    SerPens: A Tool for Semantically Enriched Location Information on Personal Devices
    BODYNETS
    ICST
    DOI: 10.4108/ICST.BODYNETS2008.2950
Sourav Bhattacharya1,*, Joonas Kukkonen1,*, Petteri Nurmi1,*, Patrik Floréen1,*
  • 1: Helsinki Institute for Information Technology HIIT, Department of Computer Science, University of Helsinki, P. O. Box 68, FI-00014 University of Helsinki, Finland.
*Contact email: sourav.bhattacharya@cs.helsinki.fi, joonas.kukkonen@cs.helsinki.fi, petteri.nurmi@cs.helsinki.fi, patrik.floreen@cs.helsinki.fi

Abstract

Current mobile phones provide GSM cell information and many devices also support GPS or WiFi-based location information. A problem with raw location data is that it does not provide semantic information, which makes it hard to integrate location-awareness into applications. Moreover, to understand what kind of location information is important to users, researchers currently need to perform time consuming user studies. In this paper we introduce SerPens, a tool that enables gathering semantically enriched location information on personal devices. The main novelty of SerPens is that it enables users to share and gather semantic information in a collaborative fashion. The label information is tied to a taxonomy and is accessible to applications. SerPens has been developed on top of BeTelGeuse, a Bluetooth-based data gathering tool for J2ME compatible devices.