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|Title||Author(s)||Published in||Language||DateThis property is a special property in this wiki.||Abstract||R||C|
|Visualizing large-scale human collaboration in Wikipedia||Biuk-Aghai R.P.
|Future Generation Computer Systems||English||2014||Volunteer-driven large-scale human-to-human collaboration has become common in the Web 2.0 era. Wikipedia is one of the foremost examples of such large-scale collaboration, involving millions of authors writing millions of articles on a wide range of subjects. The collaboration on some popular articles numbers hundreds or even thousands of co-authors. We have analyzed the co-authoring across entire Wikipedias in different languages and have found it to follow a geometric distribution in all the language editions we studied. In order to better understand the distribution of co-author counts across different topics, we have aggregated content by category and visualized it in a form resembling a geographic map. The visualizations produced show that there are significant differences of co-author counts across different topics in all the Wikipedia language editions we visualized. In this article we describe our analysis and visualization method and present the results of applying our method to the English, German, Chinese, Swedish and Danish Wikipedias. We have evaluated our visualization against textual data and found it to be superior in usability, accuracy, speed and user preference. © 2013 Elsevier B.V. All rights reserved.||0||0|
|A novel map-based visualization method based on liquid modelling||Biuk-Aghai R.P.
|ACM International Conference Proceeding Series||English||2013||Many applications produce large amounts of data, and information visualization has been successfully applied to help make sense of this data. Recently geographic maps have been used as a metaphor for visualization, given that most people are familiar with reading maps, and several visualization methods based on this metaphor have been developed. In this paper we present a new visualization method that aims to improve on existing map-like visualizations. It is based on the metaphor of liquids poured onto a surface that expand outwards until they touch each other, forming larger areas. We present the design of our visualization method and an evaluation we have carried out to compare it with an existing visualization. Our new visualization has better usability, leading to higher accuracy and greater speed of task performance.||0||0|
|Domain-oriented semantic knowledge extraction||Xiao K.
|Journal of Computational Information Systems||English||2012||Semantic knowledge extraction task is groundwork of ontology building. As one of the most important public knowledge bases, Wikipedia has a lot of comparative advantages in the research field. In this paper, we propose a new method for extracting domain-oriented semantic knowledge from Wikipedia. During the process, every category in domain is assigned a weight, so that we can calculate the score of articles. Besides, practical experience in storing and utilizing big data of Wikipedia are detailed in this paper too.||0||0|
|Map-like Wikipedia overview visualization||Pang C.-I.
|Proceedings of the 2011 International Conference on Collaboration Technologies and Systems, CTS 2011||English||2011||Wikis, such as Wikipedia, have become increasingly popular in recent years. They allow anyone to easily contribute to collaboratively written content. To better organize content, users in Wikipedia assign categories to articles, or create new categories if needed. The resulting semantic coverage of a wiki's articles over its categories is worth studying but not easy to obtain. To provide a better understanding, we created an approach to visualize an entire wiki by creating a graphical representation that is similar to a geographical map. This enables even untrained users, as well as people outside the field of computer science, to obtain an easily understandable overview of a wiki.||0||0|
|Visualization of large category hierarchies||Robert P. Biuk-Aghai
Felix Hon Hou Cheang
|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|
|Wikipedia category visualization using radial layout||Robert P. Biuk-Aghai
Felix Hon Hou Cheang
|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||Pang C.-L.
|WikiSym 2011 Conference Proceedings - 7th Annual International Symposium on Wikis and Open Collaboration||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.||0||0|
|Wikipedia world map: method and application of map-like wiki visualization||Cheong-Iao Pang
Robert P. Biuk-Aghai
|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|
|The concept and framework of All Network Service (ANS)||Kyeongseo M.H.
|2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009||English||2009||This paper introduces the concept and framework of All Network Service (ANS). The concept of ANS has developed from Social Network Service (SNS) and Wiki service. Social Network Service is designed to utilize the human network offline to online. SNS helps to connect people with relations, interests and affiliation. Wiki designed to create a knowledge repository by actively and wide openly sharing information. Unlike the SNS that information has ownership by users and can be accessible depending only on the relationships Wiki shares the information with no restriction. Information on Wiki absolutely has no ownership and information is linked each other by its similarity and relativity. Although Wiki reflects the concept of web 2.0 - sharing and modifying information by multiple users who are willing to join - Wiki is merely oriented in information, not human relationship. ANS is designed to combine the concept of two services to overcome the limitations that each of them has; connecting people and sharing and accessing information with no restriction. ANS treats the information and human member as same identity within the service; same functionalities can be applied such as connecting each identity. In addition, ANS allows each identity can be modified by other identities, just like Wiki, for high quality objective information by multiple revisions. ANS provides low searching cost, highly objective information, and collaborative online society. This paper describes the limitation of SNS and Wiki, and How ANS recovers them.||0||0|