Private Data in Collaborative Web Mashups

Gregor Blichmann, Andreas Rümpel, Martin Schrader, Carsten Radeck, Klaus Meißner

2017

Abstract

Situational development and utilization of long-tail Web applications often involves scenarios with multiple persons interacting. Keeping private data under control comes into focus when using applications in sensitive domains, such as financial management. Main problems comprise the lack of data restriction capabilities in an adequate granularity, missing awareness on data restricted as well as missing visual representations both on previewing such private data and replacement of non-shared data on the invitee’s side. To this end, we present an innovative sharing process with fine-grained control of private data, sharing awareness and impression management. Further, policy compliance for private data enables corporate use, fostering the utilization of the collaborative Web mashup paradigm in business application scenarios. A user study shows the suitability of the corresponding interaction features for the target group of Web users with no programming skills.

References

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Paper Citation


in Harvard Style

Blichmann G., Rümpel A., Schrader M., Radeck C. and Meißner K. (2017). Private Data in Collaborative Web Mashups . In Proceedings of the 13th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-758-246-2, pages 174-183. DOI: 10.5220/0006374201740183


in Bibtex Style

@conference{webist17,
author={Gregor Blichmann and Andreas Rümpel and Martin Schrader and Carsten Radeck and Klaus Meißner},
title={Private Data in Collaborative Web Mashups},
booktitle={Proceedings of the 13th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2017},
pages={174-183},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006374201740183},
isbn={978-989-758-246-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 13th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - Private Data in Collaborative Web Mashups
SN - 978-989-758-246-2
AU - Blichmann G.
AU - Rümpel A.
AU - Schrader M.
AU - Radeck C.
AU - Meißner K.
PY - 2017
SP - 174
EP - 183
DO - 10.5220/0006374201740183