<?xml version="1.0" encoding="UTF-8"?> <article key="pdf/9538" mdate="2012-05-24 00:00:00"> <author>Irfan Rafique and Philip Lew and Maissom Qanber Abbasi and Zhang Li</author> <title>Information Quality Evaluation Framework Extending ISO 25012 Data Quality Model</title> <pages>568 - 573</pages> <year>2012</year> <volume>6</volume> <number>5</number> <journal>International Journal of Computer and Information Engineering</journal> <ee>https://publications.waset.org/pdf/9538</ee> <url>https://publications.waset.org/vol/65</url> <publisher>World Academy of Science, Engineering and Technology</publisher> <abstract>The world wide web coupled with the everincreasing sophistication of online technologies and software applications puts greater emphasis on the need of even more sophisticated and consistent quality requirements modeling than traditional software applications. Web sites and Web applications (WebApps) are becoming more information driven and contentoriented raising the concern about their information quality (InQ). The consistent and consolidated modeling of InQ requirements for WebApps at different stages of the life cycle still poses a challenge. This paper proposes an approach to specify InQ requirements for WebApps by reusing and extending the ISO 250122008(E) data quality model. We also discuss learnability aspect of information quality for the WebApps. The proposed ISO 25012 based InQ framework is a step towards a standardized approach to evaluate WebApps InQ.</abstract> <index>Open Science Index 65, 2012</index> </article>