Wikidata September 2016

wikidata@lists.wikimedia.org

63 participants
40 discussions

We plan to drop the wb_entity_per_page table
by hoo 01 Jun '17

01 Jun '17

Hey folks, we plan to drop the wb_entity_per_page table sometime soon[0], because it is just not required (as we will likely always have a programmatic mapping from entity id to page title) and it does not supported non -numeric entity ids as it is now. Due to this removing it is a blocker for the commons metadata. Is anybody using that for their tools (on tool labs)? If so, please tell us so that we can give you instructions and a longer grace period to update your scripts. Cheers, Marius [0]: https://phabricator.wikimedia.org/T95685

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Hello Wikidata!
by Glorian Yapinus 02 Apr '17

02 Apr '17

Hi folks! My name is Glorian Yapinus, but you can simply call me Glorian ;) . For the next 6 months, I will assist Lydia in supporting you all. Regarding to my educational background, I hold a bachelor's degree in Information Technology and currently, I am working on my Master's in Software Engineering and Management. I am a warm and nice person. So, please do not hesitate to reach out to me for any queries :-) Last but not least, I am looking forward to working with you. Cheers, Glorian -- Glorian Yapinus Product Management Intern for Wikidata Imagine a world, in which every single human being can freely share in the sum of all knowledge. That‘s our commitment. Wikimedia Deutschland - Gesellschaft zur Förderung Freien Wissens e. V. Eingetragen im Vereinsregister des Amtsgerichts Berlin-Charlottenburg unter der Nummer 23855 B. Als gemeinnützig anerkannt durch das Finanzamt für Körperschaften I Berlin, Steuernummer 27/029/42207.

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WDQS examples migrated
by Stas Malyshev 03 Mar '17

03 Mar '17

Hi! I've finished migrating SPARQL examples to https://www.wikidata.org/wiki/Wikidata:SPARQL_query_service/queries/examples - this is now the official examples page. I've also created a redirect: https://www.wikidata.org/wiki/Wikidata:SPARQL_examples for convenience. The old page at mediawiki.org is now soft redirect to a new one. Please notify me if you see any issues. Thanks, -- Stas Malyshev smalyshev(a)wikimedia.org

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Greater than 400 char limit for Wikidata string data types
by Sebastian Burgstaller 05 Jan '17

05 Jan '17

Hi all, I think this topic might have been discussed many months ago. For certain data types in the chemical compound space (P233, canonical smiles, P2017 isomeric smiles and P234 Inchi key) a higher character limit than 400 would be really helpful (1500 to 2000 chars (I sense that this might cause problems with SPARQL)). Are there any plans on implementing this? In general, for quality assurance, many string property types would profit from a fixed max string length. Best, Sebastian Sebastian Burgstaller-Muehlbacher, PhD Research Associate Andrew Su Lab MEM-216, Department of Molecular and Experimental Medicine The Scripps Research Institute 10550 North Torrey Pines Road La Jolla, CA 92037 @sebotic

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Wikiobject - Project Proposal
by Quico Prol 29 Oct '16

29 Oct '16

Hi, how about a wikipedia about objects? Instead of generic articles of , for example, "Ballpoint pen" or "Bic cristal" it would be "Ballpoint pen Bic cristal 2014", using Wikidata propreties and doing these for millions of objects would allow people to have an open, free, universal and structured place to refer specific objects . Project page: https://meta.wikimedia.org/wiki/WikiObject grettings

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List of WP-languages and language short code
by Markus Bärlocher 05 Oct '16

05 Oct '16

I found a list of WP-languages in English: https://meta.wikimedia.org/wiki/List_of_Wikipedias now I need the corresponding language short codes... CSV, TXT, Wikitable... Who can help? Thanks, Markus

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SPARQL power users and developers
by Markus Kroetzsch 04 Oct '16

04 Oct '16

Dear SPARQL users, We are starting a research project to investigate the use of the Wikidata SPARQL Query Service, with the goal to gain insights that may help to improve Wikidata and the query service [1]. Currently, we are still waiting for all data to become available. Meanwhile, we would like to ask for your input. Preliminary analyses show that the use of the SPARQL query service varies greatly over time, presumably because power users and software tools are running large numbers of queries. For a meaningful analysis, we would like to understand such high-impact biases in the data. We therefore need your help: (1) Are you a SPARQL power user who sometimes runs large numbers of queries (over 10,000)? If so, please let us know how your queries might typically look so we can identify them in the logs. (2) Are you the developer of a tool that launches SPARQL queries? If so, then please let us know if there is any way to identify your queries. If (1) or (2) applies to you, then it would be good if you could include an identifying comment into your SPARQL queries in the future, to make it easier to recognise them. In return, this would enable us to provide you with statistics on the usage of your tool [2]. Further feedback is welcome. Cheers, Markus [1] https://meta.wikimedia.org/wiki/Research:Understanding_Wikidata_Queries [2] Pending permission by the WMF. Like all Wikimedia usage data, the query logs are under strict privacy protection, so we will need to get clearance before sharing any findings with the public. We hope, however, that there won't be any reservations against publishing non-identifying information. -- Prof. Dr. Markus Kroetzsch Knowledge-Based Systems Group Faculty of Computer Science TU Dresden +49 351 463 38486 https://iccl.inf.tu-dresden.de/web/KBS/en

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Starting a WikiCite newsletter
by Dario Taraborelli 30 Sep '16

30 Sep '16

Hey all, it's been a while since we posted a big update on everything that's been happening around WikiCite <https://meta.wikimedia.org/wiki/WikiCite> on this list. A few people suggested a regular (monthly or quarterly) newsletter would be a good way to keep everyone posted on the latest developments, so I am starting one. Below are the main highlights for September. I'm cross-posting this to the Wikidata mailing list and hosting the full-text of the WikiCite newsletter <https://meta.wikimedia.org/wiki/WikiCite/Newsletter> on Meta. Please add anything I may have missed on the wiki. Copying the full content below, future updates will only include a link to save bandwidth and ugly HTML email. Best, Dario September 2016MilestonesAll English Wikipedia references citing PMCIDs Thanks to Daniel Mietchen <https://meta.wikimedia.org/wiki/User:Daniel_Mietchen>, all references used in English Wikipedia with a *PubMed Central identifier* (P932 <https://www.wikidata.org/wiki/Property:P932>), based on a dataset <https://meta.wikimedia.org/wiki/Research:Scholarly_article_citations_in_Wik…> produced byAaron Hafaker <https://meta.wikimedia.org/wiki/User:EpochFail> using the mwcites <https://github.com/mediawiki-utilities/python-mwcites> library, have been created in Wikidata. As of today, there are over 110,000 items <https://tools.wmflabs.org/sqid/#/view?id=P932&lang=en> using this property. Half a million citations using P2860 James Hare <https://meta.wikimedia.org/wiki/User:Harej> has been working on importing open access review papers published in the last 5 years as well as their citation graph. These review papers are not only critical to Wikimedia projects, as sources of citations for Wikipedia articles and statements, but they also open license their contents, which will allow semi-automated statement extraction via text and data mining strategies. As part of this project, the property *cites* (P2860 <https://www.wikidata.org/wiki/Property:P2860>) created during WikiCite 2016 has been used in over half a million statements representing citations from one paper to another. While this is a tiny fraction of the entire citation graph, it's a great way of making data available to Wikimedia volunteers for crosslinking statements, sources and the works they cite. New properties The *Crossref funder ID* property (P3153 <https://www.wikidata.org/wiki/Property:P3153>) can now be used to represent data on the funders of particular works (when available), which will allow to perform novel analyses on sources for Wikidata statements as a function of particular funders. The *uses property* property (P3176 <https://www.wikidata.org/wiki/Property:P3176>), which Finn Årup Nielsen conveniently dubbed <https://twitter.com/fnielsen/status/780704357335625728> the "selfie property"*,* can now be used to identify works that mention specific Wikidata properties. EventsWikiCite 2017 Our original plans to host the 2017 edition <https://meta.wikimedia.org/wiki/WikiCite_2017> of WikiCite in San Francisco in the week of January 16, 2017 (after the Wikimedia Developer Summit) failed due to a major, Salesforce-style conference happening in that week, which will bring tens of thousands of delegates to the city. The WMF Travel team blacklisted that week for hosting events or meetings in SF, since hotel rates will go through the roof. We're now looking at alternative locations and dates in FY-Q4 (April-June 2017) in Europe, most likely Berlin (like this year <https://meta.wikimedia.org/wiki/WikiCite_2016>), or piggybacking on the 2017 Wikimedia Hackathon <https://www.mediawiki.org/wiki/Wikimedia_Hackathon_2017> in Vienna (May 19-21, 2017), which will give us access to a large number of volunteers as well as WMF and WMDE developers. DocumentationWikiCite 2016 Report A draft report <https://meta.wikimedia.org/wiki/WikiCite_2016/Report> from WikiCite 2016 <https://meta.wikimedia.org/wiki/WikiCite_2016> is available on Meta. It will be closed in the coming days with the additional information required by the funders of the event. Book metadata modeling proposal Chiara Storti <https://meta.wikimedia.org/wiki/User:Nonoranonqui> and Andrea Zanni <https://meta.wikimedia.org/wiki/User:Aubrey> posted a proposal <https://www.wikidata.org/wiki/Wikidata_talk:WikiProject_Books#Wikiproject_B…> with examples to address in a pragmatic way the complex issues surrounding metadata modeling for books. If you're interested in the topic, please chime in. Outreach [image: File:2016 VIVO Keynote - Dario Taraborelli.webm] <https://upload.wikimedia.org/wikipedia/commons/8/84/2016_VIVO_Keynote_-_Dar…> <https://meta.wikimedia.org/wiki/File:2016_VIVO_Keynote_-_Dario_Taraborelli.…> *Verifiable, linked open knowledge that anyone can edit* (VIVO '16) [image: File:Wikidata - Verifiable, Linked Open Knowledge that Anyone Can Edit - frontiers092316 1840.webm] <https://upload.wikimedia.org/wikipedia/commons/b/be/Wikidata_-_Verifiable%2…> <https://meta.wikimedia.org/wiki/File:Wikidata_-_Verifiable,_Linked_Open_Kno…> September 23, 2016 presentation at the *NIH Frontiers in Data Science*lecture series. WikiCite, Wikidata and Open Access publishing On September 21, Dario Taraborelli <https://meta.wikimedia.org/wiki/User:DarTar> gave an invited presentation ( slides <https://doi.org/10.6084/m9.figshare.3956238.v1>) on WikiCite in the*Technology and Innovation* panel at the *8th Annual Conference of the Open Access Publisher Society*(COASP 2016 <http://oaspa.org/conference/coasp-2016-program/>) in Arlington, VA. The presentation triggered a discussion on the availability of open citation data. In collaboration with Jennifer Lin (*Crossref*) we discovered that out of 999 publishers already depositing citation data to Crossref, only 28 (3%) make this data open <https://twitter.com/Wikicite/status/778981659836284929>. We urged publishers <https://twitter.com/ReaderMeter/status/778982308237938688>, particularly Open Access publishers and OASPA members, to release this data that's critical to initiatives such as WikiCite. Linking sources and expert curation in Wikidata: NIH lecture On September 23, Dario Taraborelli <https://meta.wikimedia.org/wiki/User:DarTar> also gave a longer presentation at the National Institutes of Health <https://en.wikipedia.org/wiki/NIH>(NIH) in Bethesda, MD, on September 23, mostly focused on the integration of expert-curated statements (such as those created by members of the Gene Wiki project <https://en.wikipedia.org/wiki/Gene_Wiki>) and source metadata in Wikidata, as part of the *NIH Frontiers in Data Science lecture series <https://datascience.nih.gov/community/datascience-at-nih/frontiers>*. ( video <https://commons.wikimedia.org/wiki/File:Wikidata_-_Verifiable,_Linked_Open_…> , slides <https://dx.doi.org/10.6084/m9.figshare.3850821.v1>) This is a slightly modified version of the VIVO '16 closing keynote <https://meta.wikimedia.org/wiki/File:2016_VIVO_Keynote_-_Dario_Taraborelli.…>, targeted at the biomedical science community. So what can we use WikiCite for? Finn Årup Nielsen <https://meta.wikimedia.org/wiki/User:Fnielsen> wrote a blog post <https://finnaarupnielsen.wordpress.com/2016/09/21/so-what-can-we-use-wikici…> showcasing different ways in which a repository of source metadata could be used. WikiCite at WMF Monthly Metrics On September 29, a short retrospective on WikiCite was presented during the September 2016 Wikimedia Monthly Activity and Metrics Meeting <https://meta.wikimedia.org/wiki/Wikimedia_Foundation_metrics_and_activities…> (livestream <https://www.youtube.com/watch?v=_grZDl3TJFc&t=1870>) Grant proposals Three proposals closely-related to WikiCite are applying for funding through Wikimedia Grants <https://meta.wikimedia.org/wiki/Grants:Project/Browse_applications>: WikiFactMine WikiFactMine <https://meta.wikimedia.org/wiki/Grants:Project/WikiFactMine> is a proposal by the ContentMine team to harvest the scientific literature for facts and recommend them for inclusion in Wikidata. Librarybase Librarybase <https://meta.wikimedia.org/wiki/Grants:Project/Harej/Librarybase:_an_online…> is a proposal to build an "online reference library" for WIkimedia contributors, leveraging Wikidata. StrepHit The StrepHit <https://meta.wikimedia.org/wiki/Grants:IEG/StrepHit:_Wikidata_Statements_Va…> team submitted a grant renewal application to support semi-automated reference recommendation for Wikidata statements. Data releasesFirst release of the Open Citation Corpus The OpenCitations project <http://opencitations.net/> announced the first release <https://twitter.com/opencitations/status/780398561607442434> of the Open Citation Corpus <http://opencitations.net/corpus>, an "open repository of scholarly citation data made available under a Creative Commons public domain dedication (CC0), which provides accurate bibliographic references harvested from the scholarly literature that others may freely build upon, enhance and reuse for any purpose, without restriction under copyright or database law." The OpenCitation project uses provenance and SPARQL for tracking changes in the data <http://rawgit.com/essepuntato/opencitations/master/paper/occ-driftalod2016.…> . Data on DOI citations in Wikipedia from Crossref Crossref <https://en.wikipedia.org/wiki/Crossref> recently announced <https://twitter.com/Wikicite/status/780763142737453056> the beta version of the Crossref Event Data user guide <http://eventdata.crossref.org/guide/>, which provides information on mentions of Digital Object Identifiers <https://en.wikipedia.org/wiki/Digital_Object_Identifiers> (DOI) across non-scholarly sources. The guide includes a detailed overview <http://eventdata.crossref.org/guide/#wikipedia> of how the system collects and stores DOI citations from Wikimedia projects, and how this data can be programmatically retrieved via the Crossref APIs. Code releasesConverting Wikidata entries to BibTeX ContentMine fellow Lars Willghagen announced a tool <https://larsgw.blogspot.nl/2016/09/citationjs-on-command-line.html> combining Citation.js with Node.js, which allows, among other things, to convert a list of bibliographic entries stored as Wikidata items into a BibTex file. ResearchFinding news citations for Wikipedia Besnik Fetahu <http://www.l3s.de/~fetahu/> (Leibniz University of Hannover) presented his research on news citation recommendations for Wikipedia at the Wikimedia Research showcase <https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase#September_2016> (slides <http://www.slideshare.net/BesnikFetahu/finding-news-citations-for-wikipedia> , video <https://www.youtube.com/watch?v=fTDkVeqjw80>). In his own words, "in this work we address the problem of finding and updating news citations for statements in entity pages. We propose a two-stage supervised approach for this problem. In the first step, we construct a classifier to find out whether statements need a news citation or other kinds of citations (web, book, journal, etc.). In the second step, we develop a news citation algorithm for Wikipedia statements, which recommends appropriate citations from a given news collection." DBpedia Citation Challenge Krzysztof Węcel <http://kie.ue.poznan.pl/en/member/krzysztof-wecel> (Poznań University of Economics and Business <https://en.wikipedia.org/wiki/Pozna%C5%84_University_of_Economics_and_Busin…>) presented his research (slides <http://www.slideshare.net/KrzysztofWecel/dbpedia-citation-challenge-not-onl…>) in response to the DBpedia Citations and References Challenge <http://wiki.dbpedia.org/blog/dbpedia-citations-references-challenge>, analyzing content in Belarusian, English, French, German, Polish, Russian, Ukrainian and showing how citation analysis can improve the modeling of quality of Wikipedia articles.

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"Edit conflicts" w/o explanation in the UI
by Nicolas Torzec 29 Sep '16

29 Sep '16

Hello,In case of "edit conflict" the Wikidata UI doesn't provide any explanation about the root cause. It makes the conflict impossible to fix for users. Would it be possible to provide more clues/explanations in the UI? Case in point: 1) Brad Pitt currently has three spouses on Wikidata: Jennifer Aniston, Angelina Jolie, and "2016".=> See https://www.wikidata.org/wiki/Q35332 2) I logged in and tried to remove the third "spouse" but it didn't go through and returned an edit conflict. => See screenshot attached. Thoughts? Cheers.-N.

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Elevation
by Markus Bärlocher 28 Sep '16

28 Sep '16

I look for this: "Elevation in metres above 'mean high water spring' level." Which means the geographic hight above MHWS: https://en.wikipedia.org/wiki/Mean_high_water_spring https://de.wikipedia.org/wiki/Springtide#Mittleres_Springhochwasser I did find only this: https://www.wikidata.org/wiki/Q6452016 which is 'above MSL': https://en.wikipedia.org/wiki/Metres_above_sea_level https://de.wikipedia.org/wiki/Höhe_über_dem_Meeresspiegel Bests, Markus

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Wikidata September 2016