Wikidata April 2014

wikidata@lists.wikimedia.org

39 participants
25 discussions

[Wikidata-l] SVG guidelines
by Lars Aronsson 22 Apr '14

22 Apr '14

A friend of mine, noting that Wikipedia uses SVG images for diagrams, asked if it also had some written guidelines for how to write the SVG source code, in particular to express measurement values in the original units rather than on a pixel scale. He had found some SVG diagram that made a curve from 140 pixels to 190 pixels, rather than from 7 million to 9.5 million inhabitants, which was the unit that the y axis displayed. (Or something like that.) I said "probably not, your thinking is likely 5 years ahead of the Wikipedia community". As this all happened in April 2009, he came back yesterday to ask where we are now. Do we have any guidelines for how to hand-write the source code of SVG diagrams? Should we? Maybe this is related to Wikidata? -- Lars Aronsson (lars(a)aronsson.se) Aronsson Datateknik - http://aronsson.se

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[Wikidata-l] Weekly summary #106
by John Lewis 20 Apr '14

20 Apr '14

Good day all, Here is the latest update on what's been happening over the past week on Wikidata. Discussions - Sources will be called references because of a discussion<https://www.wikidata.org/wiki/Wikidata:Project_chat#Proposal:_change_.22sou…> Other Noteworthy Stuff - List of items without images but possibly free images available<https://tools.wmflabs.org/fist/wd_species.php> - Any interested in another Wikidata office hour? (Say yes) Did you know? - Newest properties: Danish Bibliometric Research Indicator (BFI) SNO/CNO<https://www.wikidata.org/wiki/Property:P1250> , earliest written record <https://www.wikidata.org/wiki/Property:P1249> Development - Lots of small little cleanups. - Sprintbreak as most people are taking a few days off. - Happy Q21196! Say Hi to the Q108636 ;-) See current sprint items<https://bugzilla.wikimedia.org/buglist.cgi?list_id=218716&resolution=---&re…> for what we’re working on next. You can view the commits currently in review here<https://gerrit.wikimedia.org/r/#/q/(+project:mediawiki/extensions/Wikibase+…> and the ones that have been merged here<https://gerrit.wikimedia.org/r/#/q/(+project:mediawiki/extensions/Wikibase+…> . You can see all open bugs related to Wikidata here<https://bugzilla.wikimedia.org/buglist.cgi?emailcc1=1&list_id=151540&resolu…> Monthly Tasks - Fix a format or content violation<https://www.wikidata.org/wiki/Wikidata:Database_reports/Constraint_violatio…> for the academic degree (P512) <https://www.wikidata.org/wiki/Property:P512> property - Hack on one of these<https://bugzilla.wikimedia.org/buglist.cgi?keywords=need-volunteer%2C%20&ke…> . - Help develop the next summary here!<https://www.wikidata.org/wiki/Wikidata:Status_updates/Next> - Contribute to a Showcase item<https://www.wikidata.org/wiki/Wikidata:Showcase>

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[Wikidata-l] [SenticNet] CFP: ICML14 Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM)
by feeds 19 Apr '14

19 Apr '14

Apologies for cross-posting, Submissions are invited for the 3rd Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM), an ICML14 workshop exploring the new frontiers of big data computing for opinion mining through machine-learning techniques and sentiment learning methods. For more information, please visit: http://sentic.net/wisdom RATIONALE The distillation of knowledge from social media is an extremely difficult task as the content of today's Web, while perfectly suitable for human consumption, remains hardly accessible to machines. The opportunity to capture the opinions of the general public about social events, political movements, company strategies, marketing campaigns, and product preferences has raised growing interest both within the scientific community, leading to many exciting open challenges, as well as in the business world, due to the remarkable benefits to be had from marketing and financial market prediction. Statistical NLP has been the mainstream NLP research direction since late 1990s. It relies on language models based on popular machine-learning algorithms such as maximum-likelihood, expectation maximization, conditional random fields, and support vector machines. By feeding a large training corpus of annotated texts to a machine-learning algorithm, it is possible for the system to not only learn the valence of keywords, but also to take into account the valence of other arbitrary keywords, punctuation, and word co-occurrence frequencies. However, standard statistical methods are generally semantically weak as they merely focus on lexical co-occurrence elements with little predictive value individually. Endogenous NLP, instead, involves the use of machine-learning techniques to perform semantic analysis of a corpus by building structures that approximate concepts from a large set of documents. It does not involve prior semantic understanding of documents; instead, it relies only on the endogenous knowledge of these (rather than on external knowledge bases). The advantages of this approach over the knowledge engineering approach are effectiveness, considerable savings in terms of expert manpower, and straightforward portability to different domains. Endogenous NLP includes methods based either on lexical semantics, which focuses on the meanings of individual words (e.g., LSA, LDA, and MapReduce), or compositional semantics, which looks at the meanings of sentences and longer utterances (e.g., HMM, association rule learning, and probabilistic generative models). TOPICS WISDOM aims to provide an international forum for researchers in the field of machine learning for opinion mining and sentiment analysis to share information on their latest investigations in social information retrieval and their applications both in academic research areas and industrial sectors. The broader context of the workshop comprehends opinion mining, social media marketing, information retrieval, and natural language processing. Topics of interest include but are not limited to: • Endogenous NLP for sentiment analysis • Sentiment learning algorithms • Semantic multi-dimensional scaling for sentiment analysis • Big social data analysis • Opinion retrieval, extraction, classification, tracking and summarization • Domain adaptation for sentiment classification • Time evolving sentiment analysis • Emotion detection • Concept-level sentiment analysis • Topic modeling for aspect-based opinion mining • Multimodal sentiment analysis • Sentiment pattern mining • Affective knowledge acquisition for sentiment analysis • Biologically-inspired opinion mining • Content-, concept-, and context-based sentiment analysis SPEAKER Rui Xia is currently an assistant professor at School of Computer Science and Engineering, Nanjing University of Science and Technology, China. His research interests include machine learning, natural language processing, text mining and sentiment analysis. He received the Ph.D. degree from the Institute of Automation, Chinese Academy of Sciences in 2011. He has published several refereed conference papers in the areas of artificial intelligence and natural language processing, including IJCAI, AAAI, ACL, COLING, etc. He served on the program commitee member of several international conferences and workshops including IJCAI, COLING, WWW Workshop on MABSDA, KDD Workshop on WISDOM and ICDM Workshop on SENTIRE. He is a member of ACM, ACL and CCF, and he is an operating committee member of YSSNLP. KEYNOTE One one hand, most of the existing domain adaptation studies in the field of NLP belong to the feature-based adaptation, while the research of instance-based adaptation is very scarce. One the other hand, due to the explosive growth of the Internet online reviews, we can easily collect a large amount of labeled reviews from different domains. But only some of them are beneficial for training a desired target-domain sentiment classifier. Therefore, it is important for us to identify those samples that are the most relevant to the target domain and use them as training data. To address this problem, we propose two instance-based domain adpatation methods for NLP applications. The first one is called PUIS and PUIW, which conduct instance adaptation based on instance selection and instance weighting via PU learning. The second one is called in-target-domain logistic approximation (ILA), where we conduct instance apdatation by a joint logistic approximation model. Both of methods achieve sound performance in high-dimentional NLP tasks such as cross-domain text categorization and sentiment classification. SUBMISSIONS AND PROCEEDINGS Authors are required to follow Springer LNCS Proceedings Template and to submit their papers through EasyChair. The paper length is limited to 12 pages, including references, diagrams, and appendices, if any. As per ICML tradition, reviews are double-blind, and author names and affiliations should not be listed. Each submitted paper will be evaluated by three PC members with respect to its novelty, significance, technical soundness, presentation, and experiments. Accepted papers will be published in Springer LNCS Proceedings. Selected, expanded versions of papers presented at the workshop will be invited to a forthcoming Special Issue of Cognitive Computation on opinion mining and sentiment analysis. TIMEFRAME • May 11th, 2014: Submission deadline • May 25th, 2014: Notification of acceptance • June 1st, 2014: Final manuscripts due • June 25th, 2014: Workshop date ORGANIZERS • Yunqing Xia, Tsinghua University (China) • Erik Cambria, Nanyang Technological University (Singapore) • Yongzheng Zhang, LinkedIn Inc. (USA) • Newton Howard, MIT Media Laboratory (USA)

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[Wikidata-l] large dispatch lag currently
by Lydia Pintscher 17 Apr '14

17 Apr '14

Hey folks, Due to a too high edit frequency there is currently a massive lag in the change propagation to Wikipedia and co. This means changes don't show up timely there (but will eventually). We've already started stopping the worst offenders. I hope the lag goes down now. If not I will have to forcefully stop a few more. If you are editing at a high frequency with a bot or Widar please stop until the lag goes down. We're taking measures to prevent this in the future. Please keep an eye on the lag at https://www.wikidata.org/wiki/Special:DispatchStats Cheers Lydia -- Lydia Pintscher - http://about.me/lydia.pintscher Product Manager for Wikidata Wikimedia Deutschland e.V. Tempelhofer Ufer 23-24 10963 Berlin www.wikimedia.de Wikimedia Deutschland - Gesellschaft zur Förderung Freien Wissens e. V. Eingetragen im Vereinsregister des Amtsgerichts Berlin-Charlottenburg unter der Nummer 23855 Nz. Als gemeinnützig anerkannt durch das Finanzamt für Körperschaften I Berlin, Steuernummer 27/681/51985.

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[Wikidata-l] weekly summary #105
by Lydia Pintscher 13 Apr '14

13 Apr '14

Hey folks :) It's been a busy week. Here's the short version of it for you to catch up: Discussions - RfC: Quality is measurable<https://www.wikidata.org/wiki/Wikidata:Requests_for_comment/Quality_is_meas…> Events <https://www.wikidata.org/wiki/Wikidata:Events>/Press/Blogs<https://www.wikidata.org/wiki/Wikidata:Press_coverage> - Announcing ToolScript <http://blog.magnusmanske.de/?p=189>. With ToolScript <http://tools.wmflabs.org/toolscript/> can be used to get the output of all Magnus' tools - Feline mayors of the world or why Wikidata is awesome<http://www.haykranen.nl/2014/04/03/feline-mayors-of-the-world-or-why-wikida…> - A Rijksmuseum <http://tools.wmflabs.org/reasonator/?&q=190804> representative indicated what kind of information<http://ultimategerardm.blogspot.nl/2014/04/wikidata-and-naval-history.html> she hopes Wikidata will deliver Other Noteworthy Stuff - Wikiquote now gets its sitelinks via Wikidata. Welcome, Wikiquote! Access to the other data will follow. - Do you want automatic sidebar links to other Wikimedia projects powered by Wikidata? Here you go: http://lists.wikimedia.org/pipermail/wikidata-l/2014-April/003690.html Thanks Tpt! - Use Wikidata for internationalization on any website!<http://google-opensource.blogspot.de/2014/04/qlabel-multilingual-content-wi…> How awesome is this? Very! - Vote for some Wikidata talks for Wikimania<https://wikimania2014.wikimedia.org/wiki/Category:Wikidata> Did you know? - Newest properties: KulturNav-id<https://www.wikidata.org/wiki/Property:P1248> , compression ratio <https://www.wikidata.org/wiki/Property:P1247>, patent number <https://www.wikidata.org/wiki/Property:P1246>, OmegaWiki Defined Meaning <https://www.wikidata.org/wiki/Property:P1245>, phone number<https://www.wikidata.org/wiki/Property:P1244> , International Standard Recording Code<https://www.wikidata.org/wiki/Property:P1243> , Theatricalia play ID <https://www.wikidata.org/wiki/Property:P1242>, Swiss Football Association Club Number<https://www.wikidata.org/wiki/Property:P1241> , Danish Bibliometric Research Indicator level<https://www.wikidata.org/wiki/Property:P1240> ,ISFDB publisher ID <https://www.wikidata.org/wiki/Property:P1239>, Swedish Football Association ID <https://www.wikidata.org/wiki/Property:P1238>, Box Office Mojo film ID <https://www.wikidata.org/wiki/Property:P1237>, Parsons code <https://www.wikidata.org/wiki/Property:P1236>, ISFDB series ID<https://www.wikidata.org/wiki/Property:P1235> , ISFDB publication ID <https://www.wikidata.org/wiki/Property:P1234>, ISFDB author ID <https://www.wikidata.org/wiki/Property:P1233>, Linguist list code <https://www.wikidata.org/wiki/Property:P1232>, NARA online catalogue <https://www.wikidata.org/wiki/Property:P1231> Development - Still looking for an awesome intern.<http://wikimedia.de/wiki/Working_student_Wikidata_(f/m)> Do you know someone who'd fit? - Bene* continued working hard on making “badges” (the “featured” and “good article” stars) in Wikidata a reality - Finishing touches for Statements on properties - Worked on better error messages when parsing failed - Updated the translations to use much easier to manage JSON files for each language - Made a list of hard to understand messages that should be reworded - Implemented a usable interface for Special:SimpleQuery - Closed a backdoor that let you change the property of a snak via the API, sorry guys - Continuous refactoring and improving of the code base that defines what Wikidata and the Wikibase extensions are - Kept Wikidata up to date with the typography update - Started to redesign the Wikibase page on mediawiki.org<https://www.mediawiki.org/wiki/Wikibase> - Investigated if standard spam prevention features of MediaWiki work as they should on Wikidata (Result: mostly yes but some fixes/tweaks are needed.) - Released version 1.0 of the Diff extension.<http://www.bn2vs.com/blog/2014/04/10/diff-1-0-released/> See current sprint items<https://bugzilla.wikimedia.org/buglist.cgi?list_id=218716&resolution=---&re…> for what we’re working on next. You can view the commits currently in review here<https://gerrit.wikimedia.org/r/#/q/(+project:mediawiki/extensions/Wikibase+…> and the ones that have been merged here<https://gerrit.wikimedia.org/r/#/q/(+project:mediawiki/extensions/Wikibase+…> . You can see all open bugs related to Wikidata here<https://bugzilla.wikimedia.org/buglist.cgi?emailcc1=1&list_id=151540&resolu…> Monthly Tasks - Fix a format or content violation<https://www.wikidata.org/wiki/Wikidata:Database_reports/Constraint_violatio…> for the movement (P135) <https://www.wikidata.org/wiki/Property:P135> property - Hack on one of these<https://bugzilla.wikimedia.org/buglist.cgi?keywords=need-volunteer%2C%20&ke…> . - Help develop the next summary here!<https://www.wikidata.org/wiki/Wikidata:Status_updates/Next> - Contribute to a Showcase item<https://www.wikidata.org/wiki/Wikidata:Showcase> Anything to add? Please share! :) Cheers Lydia -- Lydia Pintscher - http://about.me/lydia.pintscher Product Manager for Wikidata Wikimedia Deutschland e.V. Tempelhofer Ufer 23-24 10963 Berlin www.wikimedia.de Wikimedia Deutschland - Gesellschaft zur Förderung Freien Wissens e. V. Eingetragen im Vereinsregister des Amtsgerichts Berlin-Charlottenburg unter der Nummer 23855 Nz. Als gemeinnützig anerkannt durch das Finanzamt für Körperschaften I Berlin, Steuernummer 27/681/51985.

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[Wikidata-l] Native "Other project" sidebar managed by Wikibase
by Thomas Tanon 13 Apr '14

13 Apr '14

Hi! I've implemented in Wikibase, with the help of the Wikidata development team, a piece of code that allows to display an "Other project" sidebar managed by Wikidata as it have been done for interlanguage links [1]. This means that a link to Commons for example can automatically be added to a Wikipedia article's sidebar based on the data in Wikidata. The goal is to replace the JavaScript based hacks used by a lot of wikis like nl.wikipedia that build such kind of sidebars from templates inserted in wiki text. This new feature have been successfully deployed last Monday to French Wikisource. See, for example, this page [2] (the sidebar section is called "Autres projets" in French). I've also written a JavaScript hack that adds a link to Wikidata in this sidebar (it isn't supported yet by the extension) and that allows to override links using the old template in order to ensure a smooth migration. If you want to see this feature installed in your wiki, please start a discussion on your local project chat and, when a consensus is reached, open a bug in bugzilla [3] (component: "Site requests") linking to the discussion and giving the ordered list of the sites to display (this can be one or several of "wikipedia", "commons", "wikiquote", "wikivoyage", "wikisource"). Feel free to ask if you have any questions. Cheers, Thomas (User:Tpt)

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[Wikidata-l] Mass-linking categories (was Re: [Wikimedia-l] Which articles are widely shared accorss languages)
by Quim Gil 12 Apr '14

12 Apr '14

On Thursday, April 10, 2014, Magnus Manske <magnusmanske(a)googlemail.com> wrote: > There's a tool for that: > > http://tools.wmflabs.org/wikidata-terminator/index.php > > Check the third row ("Top 1000 items with missing articles"). http://tools.wmflabs.org/wikidata-terminator/index.php?list&lang=ca&mode=tx… mostly * Categories of years e.g. [[Category:1923]] * Categories of born in... * Categories of died in... * Country data categories All these categories exist in ca.wiki, but there are hundreds of them. Is there a bot that, given the corresponding translations, could go fix those? -- Quim Gil Engineering Community Manager @ Wikimedia Foundation http://www.mediawiki.org/wiki/User:Qgil

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[Wikidata-l] Fwd: [Engineering] Localisation not working on MediaWiki.org
by Ori Livneh 10 Apr '14

10 Apr '14

See below for an extract of the discussion on the recurring disappearance of interface messages recently. It was a mistake for the discussion to unfold on an internal list, but it happened quite by chance, starting with an incident report and developing from there. --- Ori Livneh ori(a)wikimedia.org ---------- Forwarded message ---------- From: Ori Livneh <ori(a)wikimedia.org> Date: Thu, Apr 10, 2014 at 1:23 AM Subject: Re: [Engineering] Localisation not working on MediaWiki.org To: "Brad Jorsch (Anomie)" <bjorsch(a)wikimedia.org> Cc: Bryan Davis <bd808(a)wikimedia.org>, Development and Operations Engineers <engineering(a)lists.wikimedia.org> On Tue, Apr 8, 2014 at 6:56 AM, Brad Jorsch (Anomie) <bjorsch(a)wikimedia.org>wrote: > On Mon, Apr 7, 2014 at 9:37 PM, Bryan Davis <bd808(a)wikimedia.org> wrote: > >> The obvious change that caused this was that `mwversionsinuse >> --withdb` changed from returning "1.23wmf21=testwiki" to >> "1.23wmf21=test2wiki". This result is used within scap by the >> mw-update-l10n script to run the maintenance script that builds the >> ExtensionMessages file. In theory the exact wiki passed to `mwscript >> mergeMessageFileList.php --wiki=<WIKIDB>` shouldn't matter, but >> obviously there are now some circumstances where it does indeed >> matter. >> > > It looks to me like it has always mattered to an extent: the final result > from maintenance/mergeMessageFileList.php is the combination of extensions > loaded for the --wiki wiki (e.g. in CommonSettings.php) and the extensions > loaded by the script itself from the passed list of extensions. Hopefully > the latter is always a superset of the former so that turns out not to > matter. > Interface messages went missing again on wikidata.org. l10nupdate ran updates on cawikibooks, where $wmgUseWikibaseClient is false. The theory that the exact wiki shouldn't make a difference is pretty shaky. You should expect to run on testwiki and fail loudly if you can't. We should rethink our whole approach; I don't have any confidence in the architecture. What is especially damning is not so much the recurrence of failures as the way they were discovered (that is to say: by chance) and the hard time we have had reasoning about their cause and the state of localization on the cluster generally.

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[Wikidata-l] Wikidata Toolkit 0.1.0 released
by Markus Krötzsch 10 Apr '14

10 Apr '14

Dear all, I am happy to announce the very first release of Wikidata Toolkit [1], the Java library for programming with Wikidata and Wikibase. This initial release can download and parse Wikidata dump files for you, so as to process all Wikidata content in a streaming fashion. An example program is provided [2]. The libary can also be used with MediaWiki dumps generated by other Wikibase installations (if you happen to work in EAGLE ;-). Maven users can get the library directly from Maven Central (see [1]); this is the preferred method of installation. There is also an all-in-one JAR at github [3] and of course the sources [4]. Version 0.1.0 is of course alpha, but the code that we have is already well-tested and well-documented. Improvements that are planned for the next release include: * Faster and more robust loading of Wikibase dumps * Support for various serialization formats, such as JSON and RDF * Initial support for Wikibase API access Nevertheless, you can already give it a try now. In later releases, it is also planned to support more advanced processing after loading, especially for storing and querying the data. Feedback is welcome. Developers are also invited to contribute via github. Cheers, Markus [1] https://www.mediawiki.org/wiki/Wikidata_Toolkit [2] https://github.com/Wikidata/Wikidata-Toolkit/blob/v0.1.0/wdtk-examples/src/… [3] https://github.com/Wikidata/Wikidata-Toolkit/releases (you'll also need to install the third party dependencies manually when using this) [4] https://github.com/Wikidata/Wikidata-Toolkit/

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[Wikidata-l] Can I quote you on that, sister? (aka Wikiquote is here)
by Lydia Pintscher 09 Apr '14

09 Apr '14

Hey folks :) Just wanted to let you know that we have just enabled interwiki links for Wikiquote via Wikidata. Issues, questions and more please to https://www.wikidata.org/wiki/Wikidata:Wikiquote Welcome, Wikiquote! Cheers Lydia -- Lydia Pintscher - http://about.me/lydia.pintscher Product Manager for Wikidata Wikimedia Deutschland e.V. Tempelhofer Ufer 23-24 10963 Berlin www.wikimedia.de Wikimedia Deutschland - Gesellschaft zur Förderung Freien Wissens e. V. Eingetragen im Vereinsregister des Amtsgerichts Berlin-Charlottenburg unter der Nummer 23855 Nz. Als gemeinnützig anerkannt durch das Finanzamt für Körperschaften I Berlin, Steuernummer 27/681/51985.

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Wikidata April 2014