COMBINING DESKTOP DATA AND WEB 3.0 TECHNOLOGIES TO PROFILE A USER

Vasileios Lapatas, Michalis Stefanidakis

Abstract

An interesting promise of Web 3.0 is the seamless integration of desktop and web spaces. Private data, locked until recently inside a user’s computer, can lead to the intelligent generation of web content. This paper presents an idea of how desktop and web data can be integrated in creative ways in the World Wide Web. As a proof of concept, an application which can profile a user based on his bookmarks is being demonstrated. An existing web service is used to classify bookmarks, enabling thus platforms with limited processing power to perform the profiling process. Results gathered from the classification process indicate that even a generic untrainable and not fine-tuneable classifier can produce results with high accuracy. With accurate user profiles web content can be created in an intelligent way, enabling better Web 3.0 applications.

References

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Paper Citation


in Harvard Style

Lapatas V. and Stefanidakis M. (2010). COMBINING DESKTOP DATA AND WEB 3.0 TECHNOLOGIES TO PROFILE A USER . In Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 1: WEBIST, ISBN 978-989-674-025-2, pages 350-353. DOI: 10.5220/0002806903500353


in Bibtex Style

@conference{webist10,
author={Vasileios Lapatas and Michalis Stefanidakis},
title={COMBINING DESKTOP DATA AND WEB 3.0 TECHNOLOGIES TO PROFILE A USER},
booktitle={Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 1: WEBIST,},
year={2010},
pages={350-353},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002806903500353},
isbn={978-989-674-025-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 1: WEBIST,
TI - COMBINING DESKTOP DATA AND WEB 3.0 TECHNOLOGIES TO PROFILE A USER
SN - 978-989-674-025-2
AU - Lapatas V.
AU - Stefanidakis M.
PY - 2010
SP - 350
EP - 353
DO - 10.5220/0002806903500353