Wikidata

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[Wikidata-l] Tabular data and metadata recommendations from W3C
by Dario Taraborelli 27 Mar '14

27 Mar '14

Just published by the “CSV on the Web” working group: CSV on the Web: Use Cases and Requirements http://www.w3.org/TR/2014/WD-csvw-ucr-20140327/ Model for Tabular Data and Metadata on the Web http://www.w3.org/TR/2014/WD-tabular-data-model-20140327/ Read more: http://www.w3.org/blog/news/archives/3758

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[Wikidata-l] [SenticNet] CFP: ICML14 workshop on sentiment analysis
by feeds 24 Mar '14

24 Mar '14

Apologies for cross-posting, Submissions are invited for MASALA (Machine-learning Approaches to Sentiment Analysis and Learning Algorithms), 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/masala 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 if 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 MASALA 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 • Big social data analysis • Opinion retrieval, extraction, classification, tracking and summarization • Domain specific sentiment analysis and model adaptation • Emotion detection • Sentiment pattern mining • Concept-level sentiment analysis • Biologically-inspired opinion mining • Social-network motivated methods for natural language processing • Topic modeling for aspect-based sentiment analysis • Learning to rank for social media • Content-based and social-based recommendation • Multimodal sentiment analysis • Content-, concept-, and context-based sentiment analysis TIMEFRAME • April 20th, 2014: Submission deadline • May 11th, 2014: Notification of acceptance • May 18th, 2014: Final manuscripts due • June 25th, 2014: Workshop date ORGANIZERS • Yunqing Xia, Tsinghua University (China) • Erik Cambria, National University of Singapore (Singapore) • Newton Howard, MIT Media Laboratory (USA)

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[Wikidata-l] Maps based on Wikidata data
by Gerard Meijssen 23 Mar '14

23 Mar '14

Hoi, In the latest iteration of the "Reasonator", you will find the option to see what items exist in a radius of 15 km around the current item. Obviously, you will find only those items that have a geo-coordinate. There are however many of them :) They are everything from cities to amusement parks like Disney land and its rides. Essentially the functionality shows what is the result of a query. The current maps are based on OpenStreetMap and Wikidata. This is a first iteration of this functionality so we love to hear from you what more and what else you would like us to do with maps and Wikidata. Thanks, GerardM http://ultimategerardm.blogspot.nl/2014/03/reasonator-cambridge-revisited-i…

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[Wikidata-l] weekly summary #102
by Lydia Pintscher 23 Mar '14

23 Mar '14

Heya folks :) Here's what happened around Wikidata last week. Enjoy! Discussions - Wikiquote notability<https://www.wikidata.org/wiki/Wikidata:Project_chat#Wikiquote_notability> - Belongs to jurisdiction<https://www.wikidata.org/wiki/Wikidata:Requests_for_comment/Property:_belon…> Events <https://www.wikidata.org/wiki/Wikidata:Events>/Press/Blogs<https://www.wikidata.org/wiki/Wikidata:Press_coverage> - Cambridge revisited II<http://ultimategerardm.blogspot.nl/2014/03/wikidata-cambridge-revisited-ii.…> documents how you can query Wikidata and put the results on a map. - Cambridge revisited V<http://ultimategerardm.blogspot.nl/2014/03/reasonator-cambridge-revisited-v…> shows that maps have popups with texts generated on Wikidata statements and labels. - The architecture of the Wikimedia storage of the meta data of media files<http://ultimategerardm.blogspot.nl/2014/03/commons-and-wikidata-architectur…> discusses that integration of Commons is a subset of what we can achieve when we consider the whole of media files. - Spaghetti Open Data<http://www.spaghettiopendata.org/it/page/benvenut-sod14>, Bologna. March 28th - 30th - GLAM Treffen<https://en.wikipedia.org/wiki/de:Wikipedia:GLAM/Projekte_2014>, Bremen. March 29th - 30th Did you know? - Newest properties: Riksdagen person-id<https://www.wikidata.org/wiki/Property:P1214> Development - Continued making the UI faster - Fixed Wikidata changes not showing up in the watchlist on the client (Wikipedia, etc.) (bugzilla:62149<https://bugzilla.wikimedia.org/show_bug.cgi?id=62149> ) - Decided to turn off the inoperable wikidata.org language subdomains for now to reduce confusion - Created initial version of Wikibase Internal Serialization component - wbEntity and wbUsedEntities JavaScript variables are now cached in the parser cache - Ongoing refactoring to get rid of the previously used numeric ID numbers in favor of prefixed IDs - Made wbsearchentities aware of previously unquoted percent characters - Put some time into fixing longstanding oddities that made the developers cry from time to time - Worked on reducing internal usage of EntityContent, in preparation for redirect support - Worked on performance issues with JSON dump generation (hopefully we can start generating dumps soon) 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 *original language (P364) <https://www.wikidata.org/wiki/Property_talk:P364>* 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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Re: [Wikidata-l] [OHM] Should we map former endonyms?
by Susanna Ånäs 20 Mar '14

20 Mar '14

There is interaction between Wikidata, the OHM, the historians working with gazetteers, LOD researchers and Jochen Topf & Tim Alder's work. The Wikimaps project is trying to stay abreast of the development to build on that. I think also that Wikidata will lead the way and will offer a crowdsourced platform for place names across times. The open questions would be related to the choice of labels when displaying, while Wikidata itself would be able to store many different names, languages and alternatives. Discussion is needed for the modelling, eg. if a place is one entity with changing properties or if a place is a linked continuum of separate places. What properties to store, how to link? How can the data be linked to say OSM DB entities? Do the notability guidelines of Wikimedia allow storing only important places? So, in short, the most natural site for discussion is the wikidata-l list (now cc:d) Best, Susanna Ånäs wikimaps.wikimedia.fi 2014-03-19 22:59 GMT+02:00 Laurence Penney <lorp(a)lorp.org>: > It's great to have such things mapped, but it does need care. > > In this field Jochen Topf coded "Multilingual Map Test" together back in > 2012. You might ask him to add Finnish to the languages offered. > > https://lists.openstreetmap.org/pipermail/talk/2012-November/065312.html > > Here's part of Poland, shown with German labels: > > > http://mlm.jochentopf.com/?zoom=7&lat=52.57802&lon=19.11621&layers=B0T&lang… > > While the larger cities have well-known and current German names that are > uncontroversial -- Warschau, Posen, Breslau, etc. -- many small towns and > villages would only have been given German names during the Third Reich. > > It is therefore contentious to use the "name:de" tag for these places, > unless one is making a map of occupied Poland during WW2. The naming was a > political act, and most of the names were not used by Germans, even those > living in the vicinity, before 1939 or after 1945. Taking politics out of > it, perhaps one could use the date to indicate when the name was in use, > thus a key of "name:de(1939-1945)". > > It would be good to speak to historians who specialize in this area. > > - L > > On 19 Mar 2014, at 20:37, Chris Helenius <chris.helenius(a)gmail.com> wrote: > > How are historical place names from annexed countries regarded? Or put in > another way; when does a name no longer exist? > > In the case on Finland, which lost Karelia to Russia in the 1950s, > hundreds of place names were translated and are now officially Russian, > with the Finnish population gone. > Former place names could nevertheless be of historical value (e.g. to see > the geographical extent of the language), as physical historical features > are. > > The question is, does a name disappear when it is no longer used? Larger > cities are still called by their Finnish names in a Finnish context, so > would towns and villages be any different? Or when they are deserted? > > There is also the unignorable issue of geopolitics, as there are still > tensions between the countries. > There is no shortage of geographical naming disputes ( > https://en.wikipedia.org/wiki/Category:Geographical_naming_disputes), > and wikipedians themselves had a row over geographical names. ( > http://www.foreignpolicy.com/articles/2013/02/05/China_Japan_Wikipedia_War_… > ) > I can imagine how the naming could be seen having a political agenda. > > For what it's worth, my agenda is only historical, although I can't shrug > off my national bias. > Before I go and add name:fi= place-names, I'd like to hear what the > community thinks of this. > > Chris Helenius > _______________________________________________ > Historic mailing list > Historic(a)openstreetmap.org > https://lists.openstreetmap.org/listinfo/historic > > > > _______________________________________________ > Historic mailing list > Historic(a)openstreetmap.org > https://lists.openstreetmap.org/listinfo/historic > >

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Re: [Wikidata-l] [OHM] Should we map former endonyms?
by Martin Koppenhoefer 20 Mar '14

20 Mar '14

> Am 20/mar/2014 um 07:58 schrieb Susanna Ånäs <susanna.anas(a)gmail.com>: > > Do the notability guidelines of Wikimedia allow storing only important places? because the consequence of using wikidata will be to have wikidata objects not only for places but also for minor streets and squares as soon as they change name (most of these will not have Wikipedia articles) cheers, Martin

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[Wikidata-l] Wikidata for organizing 1000s of extensions in mediawiki.org?
by Quim Gil 20 Mar '14

20 Mar '14

Organize MediaWiki's catalog of 1000s of extensions using Wikidata. Is this a sensible idea? Reality checks and other opinions are welcome here or at https://bugzilla.wikimedia.org/show_bug.cgi?id=46704#c33 Pasting the relevant part for convenience: Has anybody discussed the possibility of creating Wikidata items for extensions, after defining a set of properties to describe them? Linking those Wikidata items to mediawiki.org extension pages, and then playing with templates and what not to keep the semantic data up to date (version number, last release, dependencies, compatible with MediaWiki releases...)? Then play with templates, queries and visualizations to create all kinds of useful output, from structured extension pages to a proper and robust map of extensions. -- Quim Gil Engineering Community Manager @ Wikimedia Foundation http://www.mediawiki.org/wiki/User:Qgil

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[Wikidata-l] ANN, the new DBpedia Association
by Sebastian Hellmann 20 Mar '14

20 Mar '14

(please forward) Dear all, we are very happy to announce that we have succeeded in the formation of a new organization to support DBpedia and its community. The DBpedia Association is now officially in action. In the coming months, we hope to raise funding to reach some of the goals outlined in our charter: http://dbpedia.org/association At the European Data Forum in Athens today and tomorrow, you are able to meet many of the people from the DBpedia Community who have helped to create the DBpedia Association for example Martin Kaltenböck, Michael Martin and Dimitris Kontokostas will be at the the LOD2 Booth at EDF and Asunción Gómez Pérez will be at the LD4LT side event on Friday (Just to name a few) From September 1st-5th in Leipzig, we hope to gather everyone to celebrate this great achievement. Especially on the 3rd of September, where we will have the 2nd DBpedia Community meeting, which is co-located with the SEMANTiCS 2014 (formerly i-SEMANTICS) on September 4-5. The people who have all worked together to create this wealth of value under the DBpedia name are so numerous that we are hardly able to know their exact number or all their names. For proper acknowledgement, as a first action the DBpedia Association will start to give out Linked Data URIs during the next months for all its contributors and supporters. Personally, I am very proud to live in such a great age of collaboration where we are able to work together across borders and institutions. Hope to see you in person in September or earlier as linked data under the http://dbpedia.org/community/$contributor namespace. Sebastian Hellmann -- Sebastian Hellmann AKSW/NLP2RDF research group Insitute for Applied Informatics (InfAI) affiliated with DBpedia Events: * *21st March, 2014*: LD4LT Kick-Off <https://www.w3.org/community/ld4lt/wiki/LD4LT_Group_Kick-Off_and_Roadmap_Me…> @European Data Forum * *Sept. 1-5, 2014* Conference Week in Leipzig, including ** *Sept 2nd*, MLODE 2014 ** *Sept 3rd*, 2nd DBpedia Community Meeting ** *Sept 4th-5th*, SEMANTiCS (formerly i-SEMANTICS) <http://semantics.cc/> Venha para a Alemanha como PhD: http://bis.informatik.uni-leipzig.de/csf Projects: http://dbpedia.org, http://nlp2rdf.org, http://linguistics.okfn.org, https://www.w3.org/community/ld4lt <http://www.w3.org/community/ld4lt> Homepage: http://aksw.org/SebastianHellmann Research Group: http://aksw.org Thesis: http://tinyurl.com/sh-thesis-summary http://tinyurl.com/sh-thesis

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[Wikidata-l] Wikidata and GLAM
by Gerard Meijssen 20 Mar '14

20 Mar '14

Hoi, Next month I will be presenting a half a day meeting in the Netherlands for a big GLAM partner. This presentation will likely be repeated for other GLAMs in the Netherlands at a later date. I have a tentative program for half a day. I will present about Wikidata, I will show information that already exists for both artists, works of art and institutions. I will demonstrate Wikidata, Reasonator, WDQ. One of the things that we will cover is how to add information from their databases to Wikidata. They are very much into movies, actors, television etc. My question to you. What would you like to see covered in such a workshop / presentation. What emphasis would work for you best. Thanks, GerardM

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[Wikidata-l] Coding da Vinci
by Lydia Pintscher 19 Mar '14

19 Mar '14

Hey folks :) There is a cool hackathon around open data and culture coming up. I'm sure there are a few possible awesome Wikidata-related projects some of you could take on. Details (unfortunately only in German) are here: http://daten.berlin.de/interaktion/artikel/coding-da-vinci-der-kultur-hacka… 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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