Research Article
SerPens: A Tool for Semantically Enriched Location Information on Personal Devices
@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
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.
