Mizuho Iwaihara

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Mizuho Iwaihara is an author.

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
Revision graph extraction in Wikipedia based on supergram decomposition and sliding update Collaboration
Revision history
Wikipedia
IEICE Transactions on Information and Systems English 2014 As one of the popular social media that many people turn to in recent years, collaborative encyclopedia Wikipedia provides information in a more "Neutral Point of View" way than others. Towards this core principle, plenty of efforts have been put into collaborative contribution and editing. The trajectories of how such collaboration appears by revisions are valuable for group dynamics and social media research, which suggest that we should extract the underlying derivation relationships among revisions from chronologically-sorted revision history in a precise way. In this paper, we propose a revision graph extraction method based on supergram decomposition in the document collection of near-duplicates. The plain text of revisions would be measured by its frequency distribution of supergram, which is the variable-length token sequence that keeps the same through revisions. We show that this method can effectively perform the task than existing methods. Copyright 0 0
Tracking topics on revision graphs of wikipedia edit history Edit history
Supergram
Topic summarization
Wikipedia
Lecture Notes in Computer Science English 2014 Wikipedia is known as the largest online encyclopedia, in which articles are constantly contributed and edited by users. Past revisions of articles after edits are also accessible from the public for confirming the edit process. However, the degree of similarity between revisions is very high, making it difficult to generate summaries for these small changes from revision graphs of Wikipedia edit history. In this paper, we propose an approach to give a concise summary to a given scope of revisions, by utilizing supergrams, which are consecutive unchanged term sequences. 0 0
WikiReviz: An edit history visualization for wiki systems Mass Collaboration
Visualisation
Wikipedia
Lecture Notes in Computer Science English 2014 Wikipedia maintains a linear record of edit history with article content and meta-information for each article, which conceals precious information on how each article has evolved. This demo describes the motivation and features of WikiReviz, a visualization system for analyzing edit history in Wikipedia and other Wiki systems. From the official exported edit history of a single Wikipedia article, WikiReviz reconstructs the derivation relationships among revisions precisely and efficiently by revision graph extraction and indicate meaningful article evolution progress by edit summarization. 0 0
Revision graph extraction in wikipedia based on supergram decomposition Collaboration
Revision history
Wikipedia
Proceedings of the 9th International Symposium on Open Collaboration, WikiSym + OpenSym 2013 English 2013 As one of the popular social media that many people turn to in recent years, collaborative encyclopedia Wikipedia provides information in a more "Neutral Point of View" way than others. Towards this core principle, plenty of efforts have been put into collaborative contribution and editing. The trajectories of how such collaboration appears by revisions are valuable for group dynamics and social media research, which suggest that we should extract the underlying derivation relationships among revisions from chronologically-sorted revision history in a precise way. In this paper, we propose a revision graph extraction method based on supergram decomposition in the document collection of near-duplicates. The plain text of revisions would be measured by its frequency distribution of supergram, which is the variable-length token sequence that keeps the same through revisions. We show that this method can effectively perform the task than existing methods. Categories and Subject Descriptors K.4.3 [Computers and Society]: Organizational Impacts - Computer-supported collaborative work. General Terms Algorithms, Experimentation. Copyright 2010 ACM. 0 0
Wikipedia revision graph extraction based on n-gram cover Mass collaboration
Wikipedia revision graph
Lecture Notes in Computer Science English 2012 During the past decade, mass collaboration systems have emerged and thrived on the World-Wide Web, with numerous user contents generated. As one of such systems, Wikipedia allows users to add and edit articles in this encyclopedic knowledge base and piles of revisions have been contributed. Wikipedia maintains a linear record of edit history with timestamp for each article, which includes precious information on how each article has evolved. However, meaningful revision evolution features like branching and revert are implicit and needed to be reconstructed. Also, existence of merges from multiple ancestors indicates that the edit history shall be modeled as a directed acyclic graph. To address these issues, we propose a revision graph extraction method based on n-gram cover that effectively find branching and revert. We evaluate the accuracy of our method by comparing with manually constructed revision graphs. 0 0
Quality Evaluation of Wikipedia Articles through Edit History and Editor Groups Web Technologies and Applications English 2011 Wikipedia is well known as a free encyclopedia, which is a type of collaborative repository system that allows the viewer to create and edit articles directly in the web browser. The weakness of the Wikipedia system is the possibility of manipulation and vandalism cannot be ruled out, so that the quality of any given Wikipedia article is not guaranteed. It is an important work to establish a quality evaluation method to help users decide how much they should trust an article in Wikipedia. In this paper we investigate the edit history of Wikipedia articles and propose a model of network structure of editors. We propose an algorithm to calculate the network structural indicator restoreratio. We use the proposed indicator combined with existing metrics to predict the quality of Wikipedia articles through support vector machine technology. The experimental results show that the proposed indicator has better performance in quality evaluation than several existing metrics. 0 0
Quality evaluation of wikipedia articles through edit history and editor groups Edit network
Quality evaluation
Web mining
Web trust
Wikipedia
APWeb English 2011 0 0