Robert P. Biuk-Aghai

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Wikis have become a popular online collaboration platform. Their open nature can, and indeed does, lead to a large number of editors of their articles, who create a large number of revisions. These editors make various types of edits on an article, from minor ones such as spelling correction and text formatting, to major revisions such as new content(More)
Collaborative virtual environments are becoming an intrinsic part of professional practices. In addition to providing collaboration support, they have the potential to collect vast amounts of data about collaborative activities. The aim of this research is to utilize this data effectively, extract meaningful insights out of it and feeding discovered(More)
Wiki are popular platforms for collaborative editing. In volunteer-driven wikis such as Wikipedia, which attracts millions of authors editing articles on a diverse range of topics, contributors' editing activity results in certain semantic coverage of topic areas. Obtaining an understanding of a given wiki's semantic coverage is not easy. To solve this(More)
Wikipedia is a large and popular daily information source for millions of people. How are articles distributed by topic area, and what is the semantic coverage of Wikipedia? Using manual methods it is impractical to determine this. We present the design of an information visualization tool that produces overview diagrams of Wikipedia's articles distributed(More)
Wiki articles tend to be edited multiple times by multiple authors. This makes it difficult to identify individual authors' contributions by human observation alone. We calculate an edit significance metric, using different weights for different types of edits, which reflect the different value placed on them by wiki community members. We then aggregate(More)
Large data repositories such as electronic journal databases, document corpora and wikis often organise their content into categories. Librarians, researchers, and interested users who wish to know the content distribution among different categories face the challenge of analysing large amounts of data. Information visualization can assist the user by(More)