Robert P. Biuk-Aghai

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Robert P. Biuk-Aghai is an author from Macau.

Publications

Only those publications related to wikis are shown here.
Title Keyword(s) Published in Language DateThis property is a special property in this wiki. Abstract R C
Visualization of large category hierarchies Category
Hierarchical data
Information visualization
Large-scale data
Wiki
Visual Information Communication - International Symposium English 2011 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 shifting the analysis task to the human visual sub-system. In this paper we describe three visualization methods we have implemented, which help users understand category hierarchies and content distribution within large document repositories, and present an evaluation of these visualizations, pointing out each of their relative strengths for communicating information about the underlying category structure. 1 0
Visualizing author contribution statistics in Wikis using an edit significance metric Wikipedia
Edit significance
Information visualization
Revision history
Wiki
WikiSym English 2011 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 edit significance values and present them as visualizations to the user to aid in perceiving extent and patterns of contributions. 4 0
Wikipedia category visualization using radial layout Wikipedia
Category
Information visualization
Radial layout
Wiki
WikiSym English 2011 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 according to category relationships, and show examples of visualizing English Wikipedia. 3 0
Wikipedia world map: method and application of map-like wiki visualization Wikipedia
Category
Information visualization
Semantic coverage
WikiSym English 2011 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 problem, we have devised a method for visualizing a wiki in a way similar to a geographic map. We have applied our method to Wikipedia, and generated visualizations for several Wikipedia language editions. This paper presents our wiki visualization method and its application. 8 0
A method for category similarity calculation in Wikis Wiki
Category similarity
WikiSym English 2010 Wikis, such as Wikipedia, allow their authors to assign categories to articles in order to better organize related content. This paper presents a method to calculate similarities between categories, illustrated by a calculation for the top-level categories in the Simple English version of Wikipedia. 5 2
Chatting in the Wiki: synchronous-asynchronous integration Asynchronous
Communication
Instant messaging
Synchronous
Wiki
WikiSym English 2010 Wikis have become popular platforms for collaborative writing. The traditional production mode has been remote asynchronous and supported by wiki systems geared toward both asynchronous writing and asynchronous communication. However, many people have come to rely on synchronous communication in their daily work. This paper first discusses aspects of synchronous and asynchronous activity and communication and then proposes an integration of synchronous communication facilities in wikis. A prototype system developed by the authors is briefly presented. 1 1
What Did They Do? Deriving High-Level Edit Histories in Wikis Wiki
Revision history
Text differencing
Edit categorization
Edit significance
WikiSym English 2010 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 introduction, whole article re-structuring, etc. Given the enormous number of revisions, it is difficult to identify the type of contributions made in these revisions through human observation alone. Moreover, different types of edits imply different edit significance. A revision that introduces new content is arguably more significant than a revision making a few spelling corrections. By taking edit types into account, better measurements of edit significance can be produced. This paper proposes a method for categorizing and presenting edits in an intuitive way and with a flexible measure of significance of each individual editor’s contributions. 11 2
Wikis as Digital Ecosystems: An Analysis Based on Authorship Analysis
Co-authorship
Collaborative authoring
Digital ecosystem
Wiki
Wikipedia
Third IEEE International Conference on Digital Ecosystems and Technologies (DEST 2009), Istanbul, Turkey, 31 May - 3 June 2009 2009 Wikis, best represented by the popular and highly successfulWikipedia system, have established themselves as important componentsof a collaboration infrastructure. We suggest that the complex networkof user-contributors in volunteer-contributed wikis constitutes adigital ecosystem that bears all the characteristics typical of suchsystems. This paper presents an analysis supporting this notion basedon significance of authorship within the wiki. Our findings confirm thehypothesis that large volunteer-contributed wikis are digitalecosystems, and thus that the findings from the digital ecosystemsresearch stream are applicable to this type of system. 0 0
Visualization of Interactions in Collaborative Writing Information visualization
Writing
Assessment
Digital ecosystem
International Conference on Digital Ecosystems and Technologies English February 2008 Wikis have become an important component of a collaboration infrastructure, particularly in loosely-coupled and self-organizing settings such as those of digital ecosystems. We report on our use of wikis in the education doman to support collaborative creative writing, as well as collaborative translation. This paper presents an analysis and visualization tool that we have developed as an aid for assessing both the process and the outcome of these collaborative writing tasks. 16 1
A Method for Measuring Co-authorship Relationships in MediaWiki Analysis
Co-authorship
Wiki
WikiSym English 2008 Collaborative writing through wikis has become increasingly popular in recent years. When users contribute to a wiki article they implicitly establish a co-authorship relationship. Discovering these relationships can be of value, for example in finding experts on a given topic. However, it is not trivial to determine the main co-authors for a given author among the potentially thousands who have contributed to a given author’s edit history. We have developed a method and algorithm for calculating a co-authorship degree for a given pair of authors. We have implemented this method as an extension for the MediaWiki system and demonstrate its performance which is satisfactory in the majority of cases. This paper also presents a method of determining an expertise group for a chosen topic. 5 2
Visualizing Co-Authorship Networks in Online Wikipedia International Symposium on Communications and Information Technologies English 2006 The Wikipedia online user-contributed encyclopedia has rapidly become a highly popular and widely used online reference source. However, perceiving the complex relationships in the network of articles and other entities in Wikipedia is far from easy. We introduce the notion of using co-authorship of articles to determine relationship between articles, and present the WikiVis information visualization system which visualizes this and other types of relationships in the Wikipedia database in 3D graph form. A 3D star layout and a 3D nested cone tree layout are presented for displaying relationships between entities and between categories, respectively. A novel 3D pinboard layout is presented for displaying search results 1 1