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.
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CITATION STYLE
Bakaev, M., Khvorostov, V., Heil, S., & Gaedke, M. (2017). Web intelligence linked open data for website design reuse. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10360 LNCS, pp. 370–377). Springer Verlag. https://doi.org/10.1007/978-3-319-60131-1_22
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