DOCSLIB.ORG

Wikipedia and Artificial Intelligence: an Evolving Synergy

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Wikipedia and Artificial Intelligence: an Evolving Synergy AAAI-08 Chicago Wikipedia and Artificial Intelligence: An Evolving Synergy Papers from the 2008 AAAI Workshop Technical Report WS-08-15 AAAI Press Association for the Advancement of Artificial Intelligence AAAI Press 445 Burgess Drive Menlo Park, California 94025 WS-08-15 Wikipedia and Artificial Intelligence: An Evolving Synergy Papers from the 2008 AAAI Workshop Razvan Bunescu, Evgeniy Gabrilovich, and Rada Mihalcea, Cochairs Technical Report WS-08-15 AAAI Press Menlo Park, California Copyright © 2008, AAAI Press The Association for the Advancement of Artificial Intelligence 445 Burgess Drive Menlo Park, California 94025 USA AAAI maintains compilation copyright for this technical report and retains the right of first refusal to any publication (including electronic distribution) arising from this AAAI event. Please do not make any inquiries or arrangements for hardcopy or electronic publication of all or part of the papers contained in these working notes without first explor- ing the options available through AAAI Press and AI Magazine (concur- rent submission to AAAI and an another publisher is not acceptable). A signed release of this right by AAAI is required before publication by a third party. Distribution of this technical report by any means including electronic (including, but not limited to the posting of the papers on any website) without permission is prohibited. ISBN 978-1-57735-383-6 WS-08-15 Manufactured in the United States of America Organizing Committee Razvan Bunescu (Ohio University, USA) Evgeniy Gabrilovich (Yahoo! Research, USA) Rada Mihalcea (University of North Texas, USA) Program Committee Eugene Agichtein (Emory University, USA) Einat Amitay (IBM Research, Israel) Mikhail Bilenko (Microsoft Research, USA) Chris Brew (Ohio State University, USA) Timothy Chklovski (Structured Commons, USA) Massimiliano Ciaramita (Yahoo! Research Barcelona, Spain) Andras Csomai (University of North Texas, USA) Silviu Cucerzan (Microsoft Research, USA) Ido Dagan (Bar-Ilan University, Israel) Ravi Kumar (Yahoo! Research, USA) Oren Kurland (Technion, Israel) Lillian Lee (Cornell University, USA) Elizabeth Liddy (Syracuse University, USA) Daniel Marcu (Information Sciences Institute / University of Southern California, USA) Shaul Markovitch (Technion, Israel) Raymond Mooney (University of Texas at Austin, USA) Vivi Nastase (EML Research, Germany) Bo Pang (Yahoo! Research, USA) Marius Pasca (Google, USA) Ted Pedersen (University of Minnesota Duluth, USA) Simone Paolo Ponzetto (EML Research, Germany) Dragomir Radev (University of Michigan, USA) Dan Roth (University of Illinois Urbana-Champaign, USA) Peter Turney (National Research Council, Canada) This AAAI–08 Workshop was held Sunday, July 13, 2008, in Chicago, Illinois, USA iii Preface Since its inception less than seven years ago, Wikipedia has become one of the largest and fastest growing online sources of encyclopedic knowledge. One of the reasons why Wikipedia is appealing to contributors and users alike is the richness of its embedded structural information: articles are hyperlinked to each other and connected to categories from an ever expanding taxonomy; pervasive language phenomena such as synonymy and polysemy are addressed through redirection and disam- biguation pages; entities of the same type are described in a consistent format using infoboxes; related articles are grouped together in series templates. As a large-scale repository of structured knowledge, Wikipedia has become a valuable resource for a diverse set of artificial intelligence (AI) applications. Major conferences in natural language process- ing and machine learning have recently witnessed a significant number of approaches that use Wikipedia for tasks ranging from text categorization and clustering to word sense disambiguation, information retrieval, information extraction and question answering. On the other hand, Wikipedia can greatly benefit from numerous algorithms and representation models developed during decades of AI research, as illustrated recently in tasks such as estimating the reliability of authors’ contribu- tions, automatic linking of articles, or intelligent matching of Wikipedia tasks with potential contrib- utors. The goal of this workshop was to foster the research and dissemination of ideas on the mutually beneficial interaction between Wikipedia and AI. The workshop took place on July 13, 2008, in Chicago, immediately preceding the Annual Meeting of the Association for the Advancement of Artificial Intelligence. This report contains papers accepted for presentation at the workshop. We issued calls for regular papers, short late–breaking papers, and demos. We received an impressive number of submissions, demonstrating the community interest and the timeliness of the “Wikipedia and AI” research theme: 22 regular papers, 10 short papers and 3 demos were submitted to the workshop. After careful review by our program committee, 10 regular papers, 2 short papers and 1 demo were accepted for presentation. Consistent with the original aim of the workshop, the accepted papers address a highly diverse set of problems, in which Wikipedia is seen either as a useful resource, or as a target for algo- rithms seeking to make it even better. As a rich knowledge source, Wikipedia is shown to benefit applications in information extraction, machine translation, summarization, ontology mining and mapping, and information retrieval. We also learned of interesting applications, most of them using machine learning, that could further enhance the breadth and the quality of Wikipedia, such as pre- dicting the quality of edits, vandalism detection, infobox extraction, crosslingual links creation, and semantic annotation. We were truly impressed by the high quality of the reviews provided by all the members of the program committee, particularly since deadlines were very tight. All of the committee members pro- vided timely and thoughtful reviews, and the papers that appear have certainly benefited from that expert feedback. Finally, when we first started planning this workshop, we agreed that having a high quality invit- ed speaker was crucial. We thank Michael Witbrock not only for his talk, but also for the boost of confidence provided by his quick and enthusiastic acceptance. – Razvan Bunescu, Evgeniy Gabrilovich, and Rada Mihalcea July 2008 vii Contents Organizing Committee / iii Preface / vii Razvan Bunescu, Evgeniy Gabrilovich, and Rada Mihalcea Full Papers The Fast and the Numerous – Combining Machine and Community Intelligence for Semantic Annotation / 1 Sebastian Blohm, Markus Krötzsch, Philipp Cimiano Learning to Predict the Quality of Contributions to Wikipedia / 7 Gregory Druck, Gerome Miklau, Andrew McCallum Integrating Cyc and Wikipedia: Folksonomy Meets Rigorously Defined Common-Sense / 13 Olena Medelyan, Catherine Legg Topic Indexing with Wikipedia / 19 Olena Medelyan, Ian H. Witten, David Milne An Effective, Low-Cost Measure of Semantic Relatedness Obtained from Wikipedia Links / 25 David Milne, Ian H. Witten Mining Wikipedia’s Article Revision History for Training Computational Linguistics Algorithms / 31 Rani Nelken, Elif Yamangil Okinet: Automatic Extraction of a Medical Ontology from Wikipedia / 37 Vasco Calais Pedro, Radu Stefan Niculescu, Lucian Vlad Lita Automatic Vandalism Detection in Wikipedia: Towards a Machine Learning Approach / 43 Koen Smets, Bart Goethals, Brigitte Verdonk Enriching the Crosslingual Link Structure of Wikipedia — A Classification-Based Approach / 49 Philipp Sorg, Philipp Cimiano Augmenting Wikipedia-Extraction with Results from the Web / 55 Fei Wu, Raphael Hoffmann, Daniel S. Weld v Short Papers Using Wikipedia Links to Construct Word Segmentation Corpora / 61 David Gabay, Ziv Ben-Eliahu, Michael Elhadad Method for Building Sentence-Aligned Corpus from Wikipedia / 64 Keiji Yasud, Eiichiro Sumita Demo Powerset’s Natural Language Wikipedia Search Engine / 67 Tim Converse, Ronald M. Kaplan, Barney Pell, Scott Prevost, Lorenzo Thione, Chad Walters vi Invited Speaker Michael Witbrock (Vice President of Research at Cycorp, USA) iv The Fast and the Numerous – Combining Machine and Community Intelligence for Semantic Annotation Sebastian Blohm, Markus Krötzsch and Philipp Cimiano Institute AIFB, Knowledge Management Research Group University of Karlsruhe D-76128 Karlsruhe, Germany {blohm, kroetzsch, cimiano}@aifb.uni-karlsruhe.de Abstract incentives for creating semantic annotations in a Semantic MediaWiki are for example semantic browsing and query- Starting from the observation that certain communities have incentive mechanisms in place to create large amounts of un- ing functionality, but most importantly the fact that queries structured content, we propose in this paper an original model over structured knowledge can be used to automatically cre- which we expect to lead to the large number of annotations ate views on data, e.g. in the form of tables. required to semantically enrich Web content at a large scale. However, creating incentives and making annotation easy The novelty of our model lies in the combination of two key and intuitive will clearly not be enough to really leverage se- ingredients: the effort that online communities are making to mantic annotation at a large scale. On the one hand, human create content and the capability of machines to detect reg- resources are limited. In particular, it is well known from ular patterns in user annotation to suggest new annotations. Wikipedia and from tagging systems that the number of con- Provided that the creation
Load more

Recommended publications
  • Cultural Anthropology Through the Lens of Wikipedia: Historical Leader Networks, Gender Bias, and News-Based Sentiment
    Cultural Anthropology through the Lens of Wikipedia: Historical Leader Networks, Gender Bias, and News-based Sentiment Peter A. Gloor, Joao Marcos, Patrick M. de Boer, Hauke Fuehres, Wei Lo, Keiichi Nemoto [email protected] MIT Center for Collective Intelligence Abstract In this paper we study the differences in historical World View between Western and Eastern cultures, represented through the English, the Chinese, Japanese, and German Wikipedia. In particular, we analyze the historical networks of the World’s leaders since the beginning of written history, comparing them in the different Wikipedias and assessing cultural chauvinism. We also identify the most influential female leaders of all times in the English, German, Spanish, and Portuguese Wikipedia. As an additional lens into the soul of a culture we compare top terms, sentiment, emotionality, and complexity of the English, Portuguese, Spanish, and German Wikinews. 1 Introduction Over the last ten years the Web has become a mirror of the real world (Gloor et al. 2009). More recently, the Web has also begun to influence the real world: Societal events such as the Arab spring and the Chilean student unrest have drawn a large part of their impetus from the Internet and online social networks. In the meantime, Wikipedia has become one of the top ten Web sites1, occasionally beating daily newspapers in the actuality of most recent news. Be it the resignation of German national soccer team captain Philipp Lahm, or the downing of Malaysian Airlines flight 17 in the Ukraine by a guided missile, the corresponding Wikipedia page is updated as soon as the actual event happened (Becker 2012.
    [Show full text]
  • Universality, Similarity, and Translation in the Wikipedia Inter-Language Link Network
    In Search of the Ur-Wikipedia: Universality, Similarity, and Translation in the Wikipedia Inter-language Link Network Morten Warncke-Wang1, Anuradha Uduwage1, Zhenhua Dong2, John Riedl1 1GroupLens Research Dept. of Computer Science and Engineering 2Dept. of Information Technical Science University of Minnesota Nankai University Minneapolis, Minnesota Tianjin, China {morten,uduwage,riedl}@cs.umn.edu [email protected] ABSTRACT 1. INTRODUCTION Wikipedia has become one of the primary encyclopaedic in- The world: seven seas separating seven continents, seven formation repositories on the World Wide Web. It started billion people in 193 nations. The world's knowledge: 283 in 2001 with a single edition in the English language and has Wikipedias totalling more than 20 million articles. Some since expanded to more than 20 million articles in 283 lan- of the content that is contained within these Wikipedias is guages. Criss-crossing between the Wikipedias is an inter- probably shared between them; for instance it is likely that language link network, connecting the articles of one edition they will all have an article about Wikipedia itself. This of Wikipedia to another. We describe characteristics of ar- leads us to ask whether there exists some ur-Wikipedia, a ticles covered by nearly all Wikipedias and those covered by set of universal knowledge that any human encyclopaedia only a single language edition, we use the network to under- will contain, regardless of language, culture, etc? With such stand how we can judge the similarity between Wikipedias a large number of Wikipedia editions, what can we learn based on concept coverage, and we investigate the flow of about the knowledge in the ur-Wikipedia? translation between a selection of the larger Wikipedias.
    [Show full text]
  • Christians and Jews in Muslim Societies
    Arabic and its Alternatives Christians and Jews in Muslim Societies Editorial Board Phillip Ackerman-Lieberman (Vanderbilt University, Nashville, USA) Bernard Heyberger (EHESS, Paris, France) VOLUME 5 The titles published in this series are listed at brill.com/cjms Arabic and its Alternatives Religious Minorities and Their Languages in the Emerging Nation States of the Middle East (1920–1950) Edited by Heleen Murre-van den Berg Karène Sanchez Summerer Tijmen C. Baarda LEIDEN | BOSTON Cover illustration: Assyrian School of Mosul, 1920s–1930s; courtesy Dr. Robin Beth Shamuel, Iraq. This is an open access title distributed under the terms of the CC BY-NC 4.0 license, which permits any non-commercial use, distribution, and reproduction in any medium, provided no alterations are made and the original author(s) and source are credited. Further information and the complete license text can be found at https://creativecommons.org/licenses/by-nc/4.0/ The terms of the CC license apply only to the original material. The use of material from other sources (indicated by a reference) such as diagrams, illustrations, photos and text samples may require further permission from the respective copyright holder. Library of Congress Cataloging-in-Publication Data Names: Murre-van den Berg, H. L. (Hendrika Lena), 1964– illustrator. | Sanchez-Summerer, Karene, editor. | Baarda, Tijmen C., editor. Title: Arabic and its alternatives : religious minorities and their languages in the emerging nation states of the Middle East (1920–1950) / edited by Heleen Murre-van den Berg, Karène Sanchez, Tijmen C. Baarda. Description: Leiden ; Boston : Brill, 2020. | Series: Christians and Jews in Muslim societies, 2212–5523 ; vol.
    [Show full text]
  • Modeling Popularity and Reliability of Sources in Multilingual Wikipedia
    information Article Modeling Popularity and Reliability of Sources in Multilingual Wikipedia Włodzimierz Lewoniewski * , Krzysztof W˛ecel and Witold Abramowicz Department of Information Systems, Pozna´nUniversity of Economics and Business, 61-875 Pozna´n,Poland; [email protected] (K.W.); [email protected] (W.A.) * Correspondence: [email protected] Received: 31 March 2020; Accepted: 7 May 2020; Published: 13 May 2020 Abstract: One of the most important factors impacting quality of content in Wikipedia is presence of reliable sources. By following references, readers can verify facts or find more details about described topic. A Wikipedia article can be edited independently in any of over 300 languages, even by anonymous users, therefore information about the same topic may be inconsistent. This also applies to use of references in different language versions of a particular article, so the same statement can have different sources. In this paper we analyzed over 40 million articles from the 55 most developed language versions of Wikipedia to extract information about over 200 million references and find the most popular and reliable sources. We presented 10 models for the assessment of the popularity and reliability of the sources based on analysis of meta information about the references in Wikipedia articles, page views and authors of the articles. Using DBpedia and Wikidata we automatically identified the alignment of the sources to a specific domain. Additionally, we analyzed the changes of popularity and reliability in time and identified growth leaders in each of the considered months. The results can be used for quality improvements of the content in different languages versions of Wikipedia.
    [Show full text]
  • Omnipedia: Bridging the Wikipedia Language
    Omnipedia: Bridging the Wikipedia Language Gap Patti Bao*†, Brent Hecht†, Samuel Carton†, Mahmood Quaderi†, Michael Horn†§, Darren Gergle*† *Communication Studies, †Electrical Engineering & Computer Science, §Learning Sciences Northwestern University {patti,brent,sam.carton,quaderi}@u.northwestern.edu, {michael-horn,dgergle}@northwestern.edu ABSTRACT language edition contains its own cultural viewpoints on a We present Omnipedia, a system that allows Wikipedia large number of topics [7, 14, 15, 27]. On the other hand, readers to gain insight from up to 25 language editions of the language barrier serves to silo knowledge [2, 4, 33], Wikipedia simultaneously. Omnipedia highlights the slowing the transfer of less culturally imbued information similarities and differences that exist among Wikipedia between language editions and preventing Wikipedia’s 422 language editions, and makes salient information that is million monthly visitors [12] from accessing most of the unique to each language as well as that which is shared information on the site. more widely. We detail solutions to numerous front-end and algorithmic challenges inherent to providing users with In this paper, we present Omnipedia, a system that attempts a multilingual Wikipedia experience. These include to remedy this situation at a large scale. It reduces the silo visualizing content in a language-neutral way and aligning effect by providing users with structured access in their data in the face of diverse information organization native language to over 7.5 million concepts from up to 25 strategies. We present a study of Omnipedia that language editions of Wikipedia. At the same time, it characterizes how people interact with information using a highlights similarities and differences between each of the multilingual lens.
    [Show full text]
  • Arxiv:2010.11856V3 [Cs.CL] 13 Apr 2021 Questions from Non-English Native Speakers to Rep- Information-Seeking Questions—Questions from Resent Real-World Applications
    XOR QA: Cross-lingual Open-Retrieval Question Answering Akari Asaiº, Jungo Kasaiº, Jonathan H. Clark¶, Kenton Lee¶, Eunsol Choi¸, Hannaneh Hajishirziº¹ ºUniversity of Washington ¶Google Research ¸The University of Texas at Austin ¹Allen Institute for AI {akari, jkasai, hannaneh}@cs.washington.edu {jhclark, kentonl}@google.com, [email protected] Abstract ロン・ポールの学部時代の専攻は？[Japanese] (What did Ron Paul major in during undergraduate?) Multilingual question answering tasks typi- cally assume that answers exist in the same Multilingual document collections language as the question. Yet in prac- (Wikipedias) tice, many languages face both information ロン・ポール (ja.wikipedia) scarcity—where languages have few reference 高校卒業後はゲティスバーグ大学へ進学。 (After high school, he went to Gettysburg College.) articles—and information asymmetry—where questions reference concepts from other cul- Ron Paul (en.wikipedia) tures. This work extends open-retrieval ques- Paul went to Gettysburg College, where he was a member of the Lambda Chi Alpha fraternity. He tion answering to a cross-lingual setting en- graduated with a B.S. degree in Biology in 1957. abling questions from one language to be an- swered via answer content from another lan- 生物学 (Biology) guage. We construct a large-scale dataset built on 40K information-seeking questions Figure 1: Overview of XOR QA. Given a question in across 7 diverse non-English languages that Li, the model finds an answer in either English or Li TYDI QA could not find same-language an- Wikipedia and returns an answer in English or L . L swers for. Based on this dataset, we introduce i i is one of the 7 typologically diverse languages.
    [Show full text]
  • (Anti-)Semitic” and “(Anti-) Zionist” in Modern Middle Eastern Discourse
    On the use of the terms “(anti-)Semitic” and “(anti-) Zionist” in modern Middle Eastern discourse Lutz Edzard1 University of Oslo Abstract Just as political and cultural discourse in general, modern Middle Eastern discourse is at times characterized by a great deal of hostility, not only between different states or religious denominations, but also state-internally among various ethnic, political, or religious groups. This short article focuses on the use of the attributes “Semitic” and “Zionist,” as well as their negative counterparts “anti-Semitic” and “anti-Zionist,” respectively, in examples of both Arabic and Israeli critical to hostile discourse. The focus of the discussion will lie on how the original meanings of these terms, especially in their negated forms, tend to be distorted in engaged political and cultural discourse. Keywords: Semitic, Anti-Semitic, Zionist, lā-sāmī, ṣahyūnī, ʾanṭi-šemi, ṣiyyōn The term “Semitic” Brief overview of the term “Semitic” As is well known, the term “Semitic” derives from the name of one of the sons of Noah, Shem,2 and was suggested for the language family in question by the encyclopedic German historian and polymath August Ludwig von Schlözer in 1781. 3 In linguistics context, the term “Semitic” is generally speaking non-controversial. Together with Ancient Egyptian, as well as the language families Berber, Cushitic, Chadic, and possibly Omotic, the Semitic language family is part of the larger Afroasiatic macrofamily (formerly also referred to as “Hamito-Semitic”).4 This usage of the term “Semitic” must be kept apart from the usage of the term in the compound adjective “anti-Semitic,” a term only coined in 1879 in a pamphlet by the journalist Wilhelm Marr (if not already in 1860 by the bibliographer and Orientalist Moritz Steinschneider), referring to prejudices against or hatred of Jews.
    [Show full text]
  • Explaining Cultural Borders on Wikipedia Through Multilingual Co-Editing Activity
    Samoilenko et al. EPJ Data Science (2016)5:9 DOI 10.1140/epjds/s13688-016-0070-8 REGULAR ARTICLE OpenAccess Linguistic neighbourhoods: explaining cultural borders on Wikipedia through multilingual co-editing activity Anna Samoilenko1,2*, Fariba Karimi1,DanielEdler3, Jérôme Kunegis2 and Markus Strohmaier1,2 *Correspondence: [email protected] Abstract 1GESIS - Leibniz-Institute for the Social Sciences, 6-8 Unter In this paper, we study the network of global interconnections between language Sachsenhausen, Cologne, 50667, communities, based on shared co-editing interests of Wikipedia editors, and show Germany that although English is discussed as a potential lingua franca of the digital space, its 2University of Koblenz-Landau, Koblenz, Germany domination disappears in the network of co-editing similarities, and instead local Full list of author information is connections come to the forefront. Out of the hypotheses we explored, bilingualism, available at the end of the article linguistic similarity of languages, and shared religion provide the best explanations for the similarity of interests between cultural communities. Population attraction and geographical proximity are also significant, but much weaker factors bringing communities together. In addition, we present an approach that allows for extracting significant cultural borders from editing activity of Wikipedia users, and comparing a set of hypotheses about the social mechanisms generating these borders. Our study sheds light on how culture is reflected in the collective process
    [Show full text]
  • Forgotten Palestinians
    1 2 3 4 5 6 7 8 9 THE FORGOTTEN PALESTINIANS 10 1 2 3 4 5 6x 7 8 9 20 1 2 3 4 5 6 7 8 9 30 1 2 3 4 5 36x 1 2 3 4 5 6 7 8 9 10 1 2 3 4 5 6 7 8 9 20 1 2 3 4 5 6 7 8 9 30 1 2 3 4 5 36x 1 2 3 4 5 THE FORGOTTEN 6 PALESTINIANS 7 8 A History of the Palestinians in Israel 9 10 1 2 3 Ilan Pappé 4 5 6x 7 8 9 20 1 2 3 4 5 6 7 8 9 30 1 2 3 4 YALE UNIVERSITY PRESS 5 NEW HAVEN AND LONDON 36x 1 In memory of the thirteen Palestinian citizens who were shot dead by the 2 Israeli police in October 2000 3 4 5 6 7 8 9 10 1 2 3 4 5 Copyright © 2011 Ilan Pappé 6 The right of Ilan Pappé to be identified as author of this work has been asserted by 7 him in accordance with the Copyright, Designs and Patents Act 1988. 8 All rights reserved. This book may not be reproduced in whole or in part, in any form (beyond that copying permitted by Sections 107 and 108 of the U.S. Copyright 9 Law and except by reviewers for the public press) without written permission from 20 the publishers. 1 For information about this and other Yale University Press publications, 2 please contact: U.S.
    [Show full text]
  • Classification of Wikipedia Articles Using BERT in Combination with Metadata
    Daniel Garber¨ Classification of Wikipedia Articles using BERT in Combination with Metadata Bachelor’s Thesis to achieve the university degree of Bachelor of Science Bachelor’s degree programme: Soware Engineering and Management submied to Graz University of Technology Supervisor Dipl.-Ing. Dr.techn. Roman Kern Institute for Interactive Systems and Data Science Head: Univ.-Prof. Dipl.-Inf. Dr. Stefanie Lindstaedt Graz, August 2020 Affidavit I declare that I have authored this thesis independently, that I have not used other than the declared sources/resources, and that I have explicitly indicated all material which has been quoted either literally or by content from the sources used. The text document uploaded to tucnazonline is identical to the present master's thesis. Signature Abstract Wikipedia is the biggest online encyclopedia and it is continually growing. As its complexity increases, the task of assigning the appropriate categories to articles becomes more dicult for authors. In this work we used machine learning to auto- matically classify Wikipedia articles from specic categories. e classication was done using a variation of text and metadata features, including the revision history of the articles. e backbone of our classication model was a BERT model that was modied to be combined with metadata. We conducted two binary classication experiments and in each experiment compared various feature combinations. In the rst experiment we used articles from the category ”Emerging technologies” and ”Biotechnology”, where the best feature combination achieved an F1 score of 91.02%. For the second experiment the ”Biotechnology” articles are exchanged with random Wikipedia articles. Here the best feature combination achieved an F1 score of 97.81%.
    [Show full text]
  • Critical Point of View: a Wikipedia Reader
    w ikipedia pedai p edia p Wiki CRITICAL POINT OF VIEW A Wikipedia Reader 2 CRITICAL POINT OF VIEW A Wikipedia Reader CRITICAL POINT OF VIEW 3 Critical Point of View: A Wikipedia Reader Editors: Geert Lovink and Nathaniel Tkacz Editorial Assistance: Ivy Roberts, Morgan Currie Copy-Editing: Cielo Lutino CRITICAL Design: Katja van Stiphout Cover Image: Ayumi Higuchi POINT OF VIEW Printer: Ten Klei Groep, Amsterdam Publisher: Institute of Network Cultures, Amsterdam 2011 A Wikipedia ISBN: 978-90-78146-13-1 Reader EDITED BY Contact GEERT LOVINK AND Institute of Network Cultures NATHANIEL TKACZ phone: +3120 5951866 INC READER #7 fax: +3120 5951840 email: [email protected] web: http://www.networkcultures.org Order a copy of this book by sending an email to: [email protected] A pdf of this publication can be downloaded freely at: http://www.networkcultures.org/publications Join the Critical Point of View mailing list at: http://www.listcultures.org Supported by: The School for Communication and Design at the Amsterdam University of Applied Sciences (Hogeschool van Amsterdam DMCI), the Centre for Internet and Society (CIS) in Bangalore and the Kusuma Trust. Thanks to Johanna Niesyto (University of Siegen), Nishant Shah and Sunil Abraham (CIS Bangalore) Sabine Niederer and Margreet Riphagen (INC Amsterdam) for their valuable input and editorial support. Thanks to Foundation Democracy and Media, Mondriaan Foundation and the Public Library Amsterdam (Openbare Bibliotheek Amsterdam) for supporting the CPOV events in Bangalore, Amsterdam and Leipzig. (http://networkcultures.org/wpmu/cpov/) Special thanks to all the authors for their contributions and to Cielo Lutino, Morgan Currie and Ivy Roberts for their careful copy-editing.
    [Show full text]
  • Art, History and the Historiography of Judaism in Roman Antiquity Brill Reference Library of Judaism
    Art, History and the Historiography of Judaism in Roman Antiquity Brill Reference Library of Judaism Editors Alan J. Avery-Peck (College of the Holy Cross) William Scott Green (University of Rochester) Editorial Board David Aaron (Hebrew Union College-Jewish Institute of Religion, Cincinnati) Herbert Basser (Queen’s University) Bruce D. Chilton (Bard College) José Faur (Netanya College) Neil Gillman (Jewish Theological Seminary of America) Mayer I. Gruber (Ben-Gurion University of the Negev) Ithamar Gruenweld (Tel Aviv University) Maurice-Ruben Hayoun (University of Strasbourg and Hochschule fuer Juedische Studien, Heidelberg) Arkady Kovelman (Moscow State University) David Kraemer (Jewish Theological Seminary of America) Baruch A. Levine (New York University) Alan Nadler (Drew University) Jacob Neusner (Bard College) Maren Niehoff (Hebrew University of Jerusalem) Gary G. Porton (University of Illinois) Aviezer Ravitzky (Hebrew University of Jerusalem) Dov Schwartz (Bar Ilan University) Günter Stemberger (University of Vienna) Michael E. Stone (Hebrew University of Jerusalem) Elliot Wolfson (New York University) VOLUME 34 The titles published in this series are listed at brill.com/brlj Brill Reference Library Art, History and the Historiography of Judaism of Judaism in Roman Antiquity Editors By Alan J. Avery-Peck (College of the Holy Cross) Steven Fine William Scott Green (University of Rochester) Editorial Board David Aaron (Hebrew Union College-Jewish Institute of Religion, Cincinnati) Herbert Basser (Queen’s University) Bruce D. Chilton (Bard College) José Faur (Netanya College) Neil Gillman (Jewish Theological Seminary of America) Mayer I. Gruber (Ben-Gurion University of the Negev) Ithamar Gruenweld (Tel Aviv University) Maurice-Ruben Hayoun (University of Strasbourg and Hochschule fuer Juedische Studien, Heidelberg) Arkady Kovelman (Moscow State University) David Kraemer (Jewish Theological Seminary of America) Baruch A.
    [Show full text]