Navigation

Content Hotkeys
Distributed and Self-organizing Systems
Distributed and Self-organizing Systems
Teaser

PUBLICATION

Web Intelligence Linked Open Data for Website Design Reuse

Type

Conference Paper

Year

2017

Authors

bakaev

Vladimir Khvorostov

Vladimir Khvorostov

heseba

gaedke

Research Area

Web Engineering

Event

17th International Conference on Web Engineering

Published in

Proceedings of 17th International Conference on Web Engineering (ICWE2017)

ISBN/ISSN

978-3-319-60130-4

Download

PDF

Abstract

Code and design reuse are as old as software engineering industry itself, but it’s also always a new trend, as more and more software products and websites are being created. Domain-specific design reuse on the web has especially high potential, saving work effort for thousands of developers and encouraging better interaction quality for millions of Internet users. In our paper we perform pilot feature engineering for finding similar solutions (website designs) within Domain, Task, and User UI models supplemented by Quality aspects. To obtain the feature values, we propose extraction of website-relevant data from online global services (DMOZ, Alexa, SimilarWeb, etc.) considered as linked open data sources, using specially developed web intelligence data miner. The preliminary investigation with 21 websites and 82 human annotators showed reasonable accuracy of the data sources and suggests potential feasibility of the approach.

Reference

Bakaev, Maxim; Khvorostov, Vladimir; Heil, Sebastian; Gaedke, Martin: Web Intelligence Linked Open Data for Website Design Reuse. Proceedings of 17th International Conference on Web Engineering (ICWE2017), pp. 370-377, 2017.





Powered by DGS
Edit list (authentication required)

Press Articles