Knowledge (XXG)

:Knowledge (XXG) Signpost/2015-08-26/Recent research - Knowledge (XXG)

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news articles linked from 73,000 entity pages. The model uses the existing news, article, and section information as ground truth and evaluates its performance by comparing its recommendations against the relations observed in Knowledge (XXG). This research demonstrates that there is still a substantial amount of potential for using historical news archives to recommend revisions to existing Knowledge (XXG) content to make them more up-to-date. However, the authors did not release a tool to make these recommendations in practice, so there's nothing for the community to use yet. While Knowledge (XXG) covers many high-profile events, it nevertheless has a self-focus bias towards events and entities that are culturally proximate. This paper shows there is substantial promise in making sure all of Knowledge (XXG)'s articles are updated to reflect the most recent knowledge.
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addition, it confirmed that a journal's impact factor correlates with the likelihood of citation. The methodology is interesting and extensive, calculating the most probable 'neighbors' for a journal in terms of subject, and seeing if it was more or less likely to be cited than these topical neighbors. The expansion of the study to look at fifty different Wikipedias, and covering a wide range of source topics, is welcome, and opens up a number of very promising avenues for future research - why, for example, is so little scholarly research on dentistry cited on Knowledge (XXG), compared to that for medicine? Why do some otherwise substantially-developed Wikipedias like Polish, Italian, or French cite relatively few scholarly papers?
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thoroughly to the literature, research on content quality in Knowledge (XXG) in particular. Using authority to measure information quality is not novel, in the Knowledge (XXG)-related literature we find it in Stvilia's 2005 work on predicting Knowledge (XXG) article quality, where authority is reflected in the "proportion of admin edits" feature, and in a 2009 paper by Dalip et al. PageRank is part of their set of network features, a set that is found to have little impact on predicting quality. While these two examples aim to predict
675:. This choice caused the authors to re-implement MIME type identification by parsing file extensions themselves. Other information, like the date of creation of the file, or shutter speed for digital photographs, is also missing as a consequence of this choice. The resulting dataset is therefore not as rich as it could have been; since File metadata is stored in structured format in the MediaWiki database, it would arguably have been easier to extract than the free-form Content metadata the authors included. 186: 1439: 1374: 1329: 352:: Following up on their paper from last year's WikiSym where they had urged researchers to "consider the redirect" when studying pageview data on Knowledge (XXG), the authors argued that page protection deserves more attention when studying editing activity - it affects e.g. research on breaking news articles, as these are often protected. They went through the non-trivial task of reconstructing every article's protection status at a given moment in time from the protection log, resulting in a 337:
administrators), and the occasional contributors, to the projects’ stage in its life cycle or to other external variables." They measured a project's degree of bureaucracy using the numerical ratio of the number of admins vs. the number of anonymous edits and vs. the number of low activity editors. Among the findings summarized in the presentation: Big Wikipedias are less efficient (partly due to negative economies of scale), and efficient Wikipedias are significantly more administered.
542: 397:"Tool-Mediated Coordination of Virtual Teams in Complex Systems" is the title of a paper at OpenSym 2015. The paper is a theory-driven examination of edits done by tools and tool-assisted contributors to WikiProjects in the English Knowledge (XXG). In addition to studying the extent of these types of edits, the paper also discusses how they fit into larger ecosystems through the lens of commons-based peer production and coordination theory. 1604: 120: 110: 603:
ClueBot NG. Interestingly, incorporating the features from ClueBot NG and STiki into VEWS slightly improves the overall accuracy, as depicted in the figure. Overall, the combination of VEWS and ClueBot NG is a fully automated vandal early warning system for English language Knowledge (XXG), while VEWS by itself provides strong performance for identifying vandals in any language.
36: 130: 254:". He offered various ideas for applications of a "natural language processing pipeline" to Knowledge (XXG) content, such as automatically suggesting "see also" topics, potentially duplicate article topics, or "derivative" article updates (e.g. when an actor's article is updated with an award won, the list of winners of that award should be updated too). The 90: 140: 591:. All experiments were done on the English Knowledge (XXG). The paper reports an accuracy of 87.82% with a 10-fold cross validation, as compared to a 50% baseline. Even with the user’s first edit, the accuracy of identifying the vandal is 77.4%. As seen in the figure, predictive accuracy increases with the number of edits used for classification. 100: 653:(DIEF) to support special aspects of Wikimedia Commons. Four new extractors were implemented, to identify a file's MIME type, images in a gallery, image annotations, and geolocation. The properties they extracted, using existing infobox extractors and the new ones, were mapped to properties from the DBpedia ontology. 602:
are very efficient at detecting vandalism edits in English (but not foreign languages), but detecting vandals is not their primary task. Straightforward adaptations of ClueBot NG and STiki to identify vandals yields modest performance. For instance, VEWS detects a vandal on average 2.39 edits before
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Methodologically, this work identifies and recommends news articles based on four features (salience, authority, novelty, and placement) while also recognizing that the relevance for news items to Knowledge (XXG) articles changes over time. The paper evaluates their approach using a corpus of 350,000
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Identifying automated and tool-assisted edits in Knowledge (XXG) is not trivial, and the paper carefully describes the mixed-method approach required to successfully discover these types of edits. For instance, some automated edits are easy to detect because they're done by accounts that are members
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The authors used a dump of Wikimedia Commons's textual content from January 2015 as the basis of their work. They took into account "Page metadata" (title, contributors) and "Content metadata" (page content including information, license and other templates, as well as categories). They chose not to
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in Hannover, Germany that suggests news articles for Knowledge (XXG) articles to incorporate. The paper builds on prior work that examines approaches for automatically generating new Knowledge (XXG) articles from other knowledge bases, accelerating contributions to existing articles, and determining
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presented the results of an extensive classification of edits on Wikidata, touching on such topics as the division of labor (i.e. the differences in edit types) between bots and human editors. Answering the title question, the presentation concluded that Wikidata can be regarded as a peer production
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skills. In other words, by learning how to edit Knowledge (XXG) students acquire skills that are useful, and perhaps essential, in today's world, such as ability to learn about online project's norms and values, how to deal with trolls, how to work with other in collaborative online projects, etc.
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level, rather than the journal level, it makes it very difficult to draw any conclusions on the basis of access status. The authors do acknowledge this limitation - "Furthermore, free copies of high impact articles from closed access journals may often be easily found online" - but perhaps had not
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quality, whereas the reviewed paper more directly measures the quality of the link structure, it is a missed opportunity for a discussion on what encompasses information quality. This discussion of information quality and how high quality can be achieved in wiki systems is further hindered by the
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In addition, a plausible alternative explanation is not considered in the study: fully open access journals tend to be younger. Two-thirds of those listed in Scopus have begun publication since 2005, against only around a third of closed-access titles, which are more likely to have a substantial
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in general are - which would be a substantially more interesting result. It has previously been shown that as of 2014, around half of all scientific literature published in recent years is open access in some form - that is, a reader can find a copy freely available somewhere on the internet. Of
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this August, we analyze differences in the editing behavior of vandals and benign users. Features that distinguish between vandals and benign users are derived from metadata about consecutive edits by a user and capture time between consecutive edits (very fast vs. fast vs. slow), commonalities
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The methodology used to measure wiki quality is interesting as it is an automated method that describes the link structure of a wiki, which can be turned into a support tool. However, the paper could have been greatly improved by discussing information quality concepts and connecting it more
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amongst categories of consecutively edited pages, hyperlink distance between pages, etc. These features are extended to also use the entire edit history of the user. Since the features only depend on the meta-data from an editor’s edits, VEWS can be applied to any language Knowledge (XXG).
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This paper, developed from one presented at the 9th International Conference on Web and Social Media, examined the citations used in Knowledge (XXG) and concluded that articles from open access journals were 47% more likely to be cited than articles from comparable closed-access journals. In
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This paper compared 37 different language Wikipedias, asking which of them "are efficient in turning the input of participants and participant contributions into knowledge products, and whether this efficiency is due to a distribution of participants among the very involved (i.e., the
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these, only around 15% of papers were published in the "fully" open access journals covered by the study. This means that almost half of the "closed access" citations will have been functionally open access - and as Knowledge (XXG) editors generally identify articles to cite at the
330:: This poster examined a 2006/2007 dataset of admin elections on the English Knowledge (XXG), finding that the optimal numbers of edits and talk page interactions with users to get elected as Knowledge (XXG) admin fall into "quite narrow windows". 685:
Nonetheless, the work described in the paper is interesting in that it focuses on a lesser-known wiki than Knowledge (XXG), and explores the structuring of metadata from a wiki whose content is already heavily soft-structured with templates. The
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the salience of new entities for a given text corpus. The paper overlooks some other relevant work about breaking news on Knowledge (XXG), news citation practices, and detecting news events with plausibility checks against social media streams.
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Unfortunately, the main conclusion of the paper is quite limited. While the authors do convincingly demonstrate that articles in their set of open access journals are cited more frequently, this does not necessarily generalise to say whether
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algorithm and probabilistic model checking. First, the paper defines a set of five properties describing quality through links between pages. A couple of examples are "temples", articles which are disconnected from other articles (akin to
682:, an existing MediaWiki interface that extracts Content metadata like licenses, authors and descriptions. It would have been valuable to compare the results they extracted with the DBpedia framework with those returned by the API. 238:), listed in more detail below. However, it was not represented in the four keynotes, even if some of their topics did offer inspiration to those interested in Wikimedia research. For example, in the Q&A after the keynote by 454:
The paper builds on an earlier one that the authors presented at last year's instance of the WETICE conference, where they outlined "A Novel Methodology Based on Formal Methods for Analysis and Verification of Wikis" based on
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Claudia Müller-Birn , Benjamin Karran, Markus Luczak-Roesch, Janette Lehmann: Peer-production system or collaborative ontology engineering effort: What is Wikidata? OpenSym ’15, August 19 - 21, 2015, San Francisco, CA, USA
356:, and encountered numerous inconsistencies and complications in the process (caused e.g. by the combination of deletion and protection). In general, they found that 14% of pageviews are to edit-protected articles. 630:) to be held in Bethlehem, Pennsylvania on October 11-15, 2015. In the paper, the authors describe their use of DBpedia tools to extract file and content metadata from Wikimedia Commons, and make it available in 822:
Nicolas Jullien, Kevin Crowston, Felipe Ortega: The Rise and Fall of an Online Project. Is Bureaucracy Killing Efficiency in Open Knowledge Production? OpenSym ’15, August 19 - 21, 2015, San Francisco, CA, USA
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Romain Picot Clemente, Cecile Bothorel, Nicolas Jullien: Contribution, Social networking, and the Request for Adminship process in Knowledge (XXG). OpenSym ’15, August 19 - 21, 2015, San Francisco, CA, USA
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of the "bot" group, while tool-assisted edits might require manual inspection and labeling. The methodology used in the paper should be useful for future research that aims to look at similar topics.
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Steiner, Thomas; van Hooland, Seth; Summers, Ed (May 2013). "MJ no more: using concurrent Knowledge (XXG) edit spikes with social network plausibility checks for breaking news detection".
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The authors boast a total of 1.4 billion triples inferred as a result of their efforts, nearly 100,000 of which come from infobox mappings. The resulting datasets are now included in the
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Maximilian Klein: Knowledge (XXG) in the World of Global Gender Inequality Indices: What The Biography Gender Gap Is Measuring. OpenSym ’15, August 19 - 21, 2015, San Francisco, CA, USA
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Brailas, Alexios; Koskinas, Konstantinos; Dafermos, Manolis; Alexias, Giorgos (July 2015). "Knowledge (XXG) in Education: Acculturation and learning in virtual communities".
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paper not properly defining "enterprise wiki", leaving the reader wondering if there is at all much of an information quality difference between these and Wikimedia wikis.
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corpus of old papers. It is reasonable to assume that Knowledge (XXG) would tend towards discussing and citing more recent research (the extensively-discussed issue of "
706:: This paper looks at the benefits of using Knowledge (XXG) in the classroom, stressing, in addition to the improvement in writing skills, the importance of acquiring 442:. Across these eight wikis, quality varied greatly, for instance some wikis have a low proportion of unreachable pages, which is interpreted as a sign of quality. 282: 1770: 838:
Benjamin Mako Hill, Aaron Shaw: Page Protection: Another Missing Dimension of Knowledge (XXG) Research. OpenSym ’15, August 19 - 21, 2015, San Francisco, CA, USA.
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methodology. They portray learning as an acculturation process that occurs when two independent cultural systems (Knowledge (XXG) and academia) come into contact.
468: 372:"provides a novel and reproducible index of notability for all Knowledge (XXG) pages, based on how often their works have been made available on sites such as 878:
Allen B. Riddell: Public Domain Rank: Identifying Notable Individuals with the Wisdom of the Crowd. OpenSym ’15, August 19 - 21, 2015, San Francisco, CA, USA.
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Sheng Hung Chung, Khor Ean Teng: Collaborative OER Course Development – Remix and Reuse Approach. OpenSym ’15, August 19 - 21, 2015, San Francisco, CA, USA.
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in Knowledge (XXG)), and "God" pages, articles which can be immediately reached from other pages. A stratified sample of eight wikis was selected from the
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Ruqin Ren: The Evolution Of Knowledge Creation Online: Knowledge (XXG) and Knowledge Processes. OpenSym ’15, August 19 - 21, 2015, San Francisco, CA, USA.
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Benjamin Mako Hill, Aaron Shaw: Consider the Redirect: A Missing Dimension of Knowledge (XXG) Research. OpenSym ’14 , Aug 27-29 2014, Berlin, Germany.
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by several Wikimedians and academic researchers about the usefulness of the conference over the past decade. This time, the acceptance rate was
230:(23 papers and posters) still consisted of research featuring Knowledge (XXG) (8) and other wikis (three, two of them other Wikimedia projects: 587:
For their experiments, we used a dataset of about 31,000 users (representing a 50-50 split of vandals and benign users), since released on our
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that predicts users on Knowledge (XXG) who are likely to be vandals before they are flagged for acts of vandalism. In a paper presented at
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A paper from the WETICE 2015 conference titled "Analysing Wiki Quality using Probabilistic Model Checking" studies the quality of
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Teplitskiy, M.; Lu, G.; Duede, E. (2015). "Amplifying the impact of open access: Knowledge (XXG) and the diffusion of science".
631: 531:"). If so, we would expect to see a significant bias in favour of these journals for reasons other than their access status. 471:" as an experiment. Even though these only form small subsets of Knowledge (XXG), computing time reached up to 30 minutes. 191:
A monthly overview of recent academic research about Knowledge (XXG) and other Wikimedia projects, also published as the
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Giuseppe De Ruvo, Antonella Santone: A Novel Methodology Based on Formal Methods for Analysis and Verification of Wikis
1241:"Knowledge (XXG) Chemical Structure Explorer: substructure and similarity searching of molecules from Knowledge (XXG)" 749:"Knowledge (XXG) Chemical Structure Explorer: substructure and similarity searching of molecules from Knowledge (XXG)" 1225:
Jimmy Lin: The Sum of All Human Knowledge in Your Pocket: Full-Text Searchable Knowledge (XXG) on a Raspberry Pi
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Hecht, Brent; Gergle, Darren (2009). "Measuring self-focus bias in community-maintained knowledge repositories".
223: 1454:"Hot off the Wiki: Dynamics, Practices, and Structures in Knowledge (XXG)'s Coverage of the Tohoku Catastrophes" 1751: 1567:
Proportion of Open Access Papers Published in Peer-Reviewed Journals at the European and World Levels—1996–2013
1411:"Automatic quality assessment of content created collaboratively by web communities: A case study of wikipedia" 1298: 946:
2015 IEEE 24th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises
301:"Knowledge (XXG) in the World of Global Gender Inequality Indices: What The Biography Gender Gap Is Measuring" 296:
An overview of the Knowledge (XXG)/Wikimedia-related papers and posters follows, including one longer review.
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Vaidya, Gaurav; Kontokostas, Dimitris; Knuth, Magnus; Lehmann, Jens; Hellmann, Sebastian (October 2015).
1103: 528: 459:(CCS). In that paper, they also applied their method to Knowledge (XXG), examining the three categories " 334:"The Rise and Fall of an Online Project. Is Bureaucracy Killing Efficiency in Open Knowledge Production?" 1453: 786: 255: 744:"The Sum of All Human Knowledge in Your Pocket: Full-Text Searchable Knowledge (XXG) on a Raspberry Pi" 290: 1226: 613: 278: 251: 177: 892: 879: 824: 439: 1522: 1111:
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
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The Presidio and Golden Gate Bridge in San Francisco (the conference venue is in the left center)
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Proceedings of the fourth international conference on Communities and technologies - C&T '09
839: 250:, Norvig was asked where such AI techniques could help human Knowledge (XXG) editors with high " 192: 185: 1011:
Proceedings of the 24th ACM International on Conference on Information and Knowledge Management
798: 93: 1539: 1426: 1269: 1262: 1159: 1132: 1032: 957: 911: 672: 575:“VEWS: A Knowledge (XXG) Vandal Early Warning System” is a system developed by researchers at 415: 373: 169: 123: 1475: 259: 219: 1531: 1418: 1355: 1310: 1252: 1239:
Ertl, Peter; Patiny, Luc; Sander, Thomas; Rufener, Christian; Zasso, Michaël (2015-03-22).
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system now (i.e. an open collaboration, which is also more accessible for contributors than
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OpenSym 2015 report; PageRank and wiki quality; news suggestions; the impact of open access
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A list of other recent publications that could not be covered in time for this issue –
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OpenSym 2015 report: A look at the research presented at the OpenSym 2015 conference.
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may provide valuable insights to inform the planning, modeling and development of
370:"Public Domain Rank: Identifying Notable Individuals with the Wisdom of the Crowd" 1474:
Ford, Heather; Sen, Shilad; Musicant, David R.; Miller, Nathaniel (August 2013).
227: 143: 1193: 293:. The next edition of the conference will take place in Berlin in August 2016. 1257: 535:
Early warning system identifies likely vandals based on their editing behavior
1476:"Getting to the source: Where does Knowledge (XXG) get its information from?" 1265: 990: 938: 638:
include content from the Image table ("File metadata", e.g. file dimensions,
1535: 1422: 1410: 1160:"DBpedia Commons: Structured Multimedia Metadata from the Wikimedia Commons" 1128: 1028: 907: 643: 607:"DBpedia Commons: Structured Multimedia Metadata from the Wikimedia Commons" 363: 314:), but could veer into more systematic "ontology engineering" in the future. 263: 235: 1387:
Stvilia, Besiki; Twidale, Michael B.; Smith, Linda C.; Gasser, Les (2005).
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DBpedia Commons: Structured Multimedia Metadata from the Wikimedia Commons
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Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries
1004:"Automated News Suggestions for Populating Knowledge (XXG) Entity Pages" 475:"Automated News Suggestions for Populating Knowledge (XXG) entity Pages" 350:"Page Protection: Another Missing Dimension of Knowledge (XXG) Research" 812:
http://www.opensym.org/os2015/proceedings-files/p405-picot-clemente.pdf
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It seems like a missed opportunity to have ignored properties from the
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Kumar, Srijan; Spezzano, Francesca; Subrahmanian, V.S. (August 2015).
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It is also slightly disappointing that the authors didn't mention the
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was the largest sponsor of the conference, with the event organizers'
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Proceedings of the 11th International Symposium on Open Collaboration
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http://www.opensym.org/os2015/proceedings-files/p501-mueller-birn.pdf
773: 665: 657: 341:"#Knowledge (XXG) on Twitter: Analyzing Tweets about Knowledge (XXG)" 266:-like service in the not too distant future (similar to the existing 243: 660:, and available through a dedicated interface for individual files ( 1119: 1072: 1019: 627: 1506: 1452:
Keegan, Brian; Gergle, Darren; Contractor, Noshir (October 2011).
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Short paper, JCDL’15, June 21–25, 2015, Knoxville, Tennessee, USA.
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https://www.umiacs.umd.edu/~jimmylin/publications/Lin_JCDL2015.pdf
588: 549: 1389:"Assessing Information Quality of a Community-based Encyclopedia" 1060:
Journal of the Association for Information Science and Technology
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is the title of a paper accepted to be presented at the upcoming
360:"Collaborative OER Course Development – Remix and Reuse Approach" 893:"Tool-mediated coordination of virtual teams in complex systems" 880:
http://www.opensym.org/os2015/proceedings-files/p300-riddell.pdf
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http://www.opensym.org/os2015/proceedings-files/p401-jullien.pdf
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Fetahu, Besnik; Markert, Katja; Anand, Avishek (October 2015).
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quite realised the scale of 'alternative' open access methods.
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reported on the creation of four computer science textbooks on
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http://www.opensym.org/os2015/proceedings-files/c200-chung.pdf
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http://www.opensym.org/os2015/proceedings-files/p404-klein.pdf
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Proceedings of the 14th International Semantic Web Conference
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http://www.opensym.org/os2015/proceedings-files/p403-hill.pdf
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part of the schedule saw very limited usage, although it did
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http://www.opensym.org/os2015/proceedings-files/p406-ren.pdf
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Dalip, Daniel Hasan; Cristo, Marco; Calado, Pável (2009).
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http://www.opensym.org/os2014/proceedings-files/p604.pdf
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Knowledge (XXG) in education as an acculturation process
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Ranking public domain authors using Knowledge (XXG) data
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for reviewing or summarizing newly published research.
1104:"VEWS: A Knowledge (XXG) Vandal Early Warning System" 694:
using Wikibase, the technology that powers Wikidata.
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running on the MediaWiki platform through a modified
1686:If your comment has not appeared here, you can try 937:Ruvo, Guiseppe de; Santone, Antonella (June 2015). 715:theory and develop their views further through the 481:Conference on Information and Knowledge Management 484: 711:The authors discuss those concepts through the 646:) to limit their software development efforts. 262:a discussion that might lead to a revival of a 891:Gilbert, Michael; Zachry, Mark (August 2015). 1344:"The interdisciplinary study of coordination" 479:A paper accepted for publication at the 2015 385:"Tool-Mediated Coordination of Virtual Teams" 8: 1342:Malone, Thomas W.; Crowston, Kevin (1994). 1299:"Commons-based Peer Production and Virtue*" 1297:Benkler, Yochai; Nissenbaum, Helen (2006). 1697:No comments yet. Yours could be the first! 991:http://www.deruvo.eu/preprints/W2T2014.pdf 624:14th International Semantic Web Conference 570:, Francesca Spezzano and V.S. Subrahmanian 1771:Knowledge (XXG) Signpost archives 2015-08 1505: 1256: 1118: 1071: 1018: 1182:Learning, Culture and Social Interaction 651:DBpedia Information Extraction Framework 18:Knowledge (XXG):Knowledge (XXG) Signpost 1689: 1673: 1289: 761: 322:Blind Variation and Selective Retention 70: 366:for undergraduate courses in Malaysia. 469:Naval battles involving Great Britain 29: 7: 405:Measuring Wiki Quality with PageRank 1284:Supplementary references and notes: 483:(CIKM 2015) by scientists from the 438:, and measures extracted using the 774:http://notconfusing.com/opensym15/ 649:The authors expanded the existing 56: 28: 692:native structured data on Commons 688:resulting datasets and interfaces 457:Calculus of communicating systems 1565:Archambault, É.; et al. (2014). 1437: 1372: 1327: 1315:10.1111/j.1467-9760.2006.00235.x 731:contributions are always welcome 184: 138: 128: 118: 108: 98: 88: 1303:Journal of Political Philosophy 1682:add the page to your watchlist 1: 193:Wikimedia Research Newsletter 465:Computer science conferences 1572:(Report). RTD-B6-PP-2011-2. 1207:Croce, Marta (2015-04-30). 1787: 1245:Journal of Cheminformatics 1194:10.1016/j.lcsi.2015.07.002 461:Fungi found in fairy rings 1258:10.1186/s13321-015-0061-y 724:Other recent publications 242:(Director of Research at 224:Presidio of San Francisco 1396:Proceedings of ICIQ 2005 594:Current systems such as 345:review in our last issue 1536:10.1145/1556460.1556463 1423:10.1145/1555400.1555449 1129:10.1145/2783258.2783367 1029:10.1145/2806416.2806531 908:10.1145/2788993.2789843 1607: 988:10.1109/WETICE.2014.25 954:10.1109/WETICE.2015.18 577:University of Maryland 545: 283:open grant application 211: 39: 1606: 1360:10.1145/174666.174668 1348:ACM Computing Surveys 544: 210: 38: 1679:To follow comments, 844:downloadable dataset 515:open access articles 354:downloadable dataset 279:Wikimedia Foundation 252:force multiplication 1595:"Recent research" → 680:CommonsMetadata API 485:L3S Research Center 440:PRISM model checker 412:Morten Warncke-Wang 392:Morten Warncke-Wang 154:Morten Warncke-Wang 1674:Discuss this story 1654:Arbitration report 1608: 1483:Proc. 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WikiSym 2011 658:DBpedia collection 546: 312:Semantic MediaWiki 212: 45:← Back to Contents 40: 1690:purging the cache 1587:"Recent research" 1082:10.1002/asi.23687 962:978-1-4673-7692-1 614:Guillaume Paumier 374:Project Gutenberg 178:Guillaume Paumier 50:View Latest Issue 1778: 1754: 1693: 1691: 1685: 1672: 1649:Featured content 1626: 1618: 1611: 1594: 1586: 1574: 1573: 1571: 1562: 1556: 1555: 1529: 1518: 1512: 1511: 1509: 1493: 1487: 1486: 1480: 1471: 1465: 1464: 1458: 1449: 1443: 1442: 1441: 1435: 1406: 1400: 1399: 1393: 1384: 1378: 1377: 1376: 1370: 1339: 1333: 1332: 1331: 1325: 1294: 1277: 1276: 1260: 1236: 1230: 1223: 1217: 1216: 1204: 1198: 1197: 1177: 1171: 1170: 1164: 1155: 1149: 1148: 1122: 1108: 1099: 1093: 1092: 1075: 1066:(9): 2116–2127. 1055: 1049: 1048: 1022: 1008: 999: 993: 980: 974: 973: 943: 934: 928: 927: 897: 888: 882: 876: 870: 864: 858: 852: 846: 836: 830: 820: 814: 807: 801: 795: 789: 782: 776: 766: 708:digital literacy 423:enterprise wikis 248:machine learning 188: 180: 142: 141: 132: 131: 122: 121: 112: 111: 102: 101: 92: 91: 62: 60: 58: 1786: 1785: 1781: 1780: 1779: 1777: 1776: 1775: 1761: 1760: 1759: 1758: 1757: 1756: 1755: 1750: 1748: 1743: 1738: 1733: 1728: 1721: 1709: 1708: 1703: 1701:+ Add a comment 1698: 1695: 1687: 1680: 1677: 1676: 1670:+ Add a comment 1668: 1664: 1663: 1662: 1659:Recent research 1619: 1614: 1612: 1609: 1598: 1597: 1592: 1589: 1584: 1578: 1577: 1569: 1564: 1563: 1559: 1545: 1527: 1520: 1519: 1515: 1495: 1494: 1490: 1478: 1473: 1472: 1468: 1456: 1451: 1450: 1446: 1436: 1432: 1417:. pp. 295–304. 1408: 1407: 1403: 1391: 1386: 1385: 1381: 1371: 1341: 1340: 1336: 1326: 1296: 1295: 1291: 1281: 1280: 1238: 1237: 1233: 1224: 1220: 1206: 1205: 1201: 1179: 1178: 1174: 1162: 1157: 1156: 1152: 1138: 1113:. pp. 607–616. 1106: 1101: 1100: 1096: 1057: 1056: 1052: 1038: 1013:. pp. 323–332. 1006: 1001: 1000: 996: 981: 977: 963: 948:. pp. 224–229. 941: 936: 935: 931: 917: 895: 890: 889: 885: 877: 873: 865: 861: 853: 849: 837: 833: 821: 817: 808: 804: 796: 792: 783: 779: 767: 763: 758: 753: 726: 717:grounded theory 700: 609: 561: 560: 538: 537: 498: 477: 407: 387: 216: 215: 204: 203: 197: 189: 181: 162:Piotr Konieczny 151: 150: 149: 148: 139: 129: 119: 109: 99: 89: 83: 80: 69: 68:Recent research 65: 63: 53: 52: 47: 41: 31: 26: 25: 24: 12: 11: 5: 1784: 1782: 1774: 1773: 1763: 1762: 1749: 1744: 1739: 1734: 1729: 1724: 1723: 1722: 1711: 1710: 1707: 1706: 1705: 1704: 1699: 1696: 1678: 1675: 1667: 1666: 1665: 1661: 1656: 1651: 1646: 1644:News and notes 1641: 1636: 1631: 1625: 1616:26 August 2015 1613: 1601: 1600: 1599: 1590: 1581: 1580: 1579: 1576: 1575: 1557: 1543: 1513: 1498:Proc. 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