A Web-based Model-driven Platform for Web Augmentation

Matias Urbieta, Franco Mahl, Gustavo Rossi, Gabriela Bosetti

2019

Abstract

The emergence of Web personalization allowed introducing improvements to an application that runs as a black box just considering those perceivable behaviors by the end-user. In spite of which mechanisms (personalization, customization, etc.) that a particular application supports; it is not realistic to state that any application, being idealized by few people (e.g., its owners), covers every single user’s needs. In this sense, users may have unsatisfied requirements. Nowadays available Web augmentations are making full use of server-side capabilities for meeting requirements. We present a Web Augmentation modeling approach contemplating a client-server application that hides the back-end complexity to users. In this work we present a Web CASE tool to model server-side behavior for Web augmentation. This tool provides a full web-based experience for designing and running Web augmentations that requires client and server-side components.

Paper Citation

in Harvard Style

Urbieta M., Mahl F., Rossi G. and Bosetti G. (2019). A Web-based Model-driven Platform for Web Augmentation.In Proceedings of the 15th International Conference on Web Information Systems and Technologies - Volume 1: APMDWE, ISBN 978-989-758-386-5, pages 477-486. DOI: 10.5220/0008559304770486

in Bibtex Style

@conference{apmdwe19,
author={Matias Urbieta and Franco Mahl and Gustavo Rossi and Gabriela Bosetti},
title={A Web-based Model-driven Platform for Web Augmentation},
booktitle={Proceedings of the 15th International Conference on Web Information Systems and Technologies - Volume 1: APMDWE,},
year={2019},
pages={477-486},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008559304770486},
isbn={978-989-758-386-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Web Information Systems and Technologies - Volume 1: APMDWE,
TI - A Web-based Model-driven Platform for Web Augmentation
SN - 978-989-758-386-5
AU - Urbieta M.
AU - Mahl F.
AU - Rossi G.
AU - Bosetti G.
PY - 2019
SP - 477
EP - 486
DO - 10.5220/0008559304770486