Wiki-research-l August 2013

wiki-research-l@lists.wikimedia.org

23 participants
27 discussions

by Stella Yu

We are aware that Wikipedia does not track user sessions. There may be survey/poll companies that have surveyed people about their usage and their time spent on Wikipedia. Curious, where are there reports that can shed some light on this? Thank you! All the best, Stella --

10 years, 8 months

ICIEIS2013-CFP Malaysia

by The Second International Conference on Informatics Engineering & Information Science (ICIEIS2013)

*************************************************************************** We apologize for multiples copies. Please circulate this CFP among your colleagues and students. *************************************************************************** [ICIEIS 2013] The Second International Conference on Informatics Engineering & Information Science Important Dates Paper due: Oct. 30, 2013 or 4 weeks from the submission date Author Notification:Oct. 30, 2013 or 4 weeks from the submission date Camera-ready due and Registration: Nov. 02, 2013 Conference Date:Nov. 12-14, 2013 For more information: http://sdiwc.net/conferences/2013/icieis2013/ **************************************************************************** This conference, among other things, wants to bring together researchers to present and discuss novel approaches and solutions as well as recent results in this area of research, e.g. specially designed for Cloud and Grid Computing, Wireless Mesh Networks, Mobile Ad-Hoc Networks, Wireless and Mobile Sensor Networks, Private Home Networks as well as Cyber Physical Systems and Networks. Technical Topics **Intelligent Methods and Applications Rough Set Theory And Its Applications In Data Analysis AI Methods in Data Mining and Knowledge Discovery Intelligent Data Acquisition, Selection, and Processing AI / Soft Computing Methods in Machine Learning AI Tools for Pattern Recognition, Signal, and Image Processing Decision Support Systems and Multi-Criteria Decision Analysis Process Mining and Intelligent Planning Web Intelligence and Web Mining Hybrid and Integrated Intelligent Systems Utilization of Domain Knowledge in KDD **Information Science Multimedia Security Network Security Cloud Computing Signal Processing Image Processing & Pattern Recognition Cryptography Forensics Software Engineering Distributed Information Systems Health Informatics **Informatics Engineering Smart Homes Technologies e-Business Applications e-Commerce Technology e-Health Technology e-Tutoring, and e-Facilitating e-Skills and Information Literacy for Learning m-Learning Emergence & Strategies m-Learning System Development Bioinformatics Oil and Gas Informatics Geographic Information System (GIS) Submitted papers will be reviewed by the conference Program Committee and judged on originality, technical correctness, relevance, and quality of presentation. An accepted paper must be presented at the ICIEIS 2013 venue by one of the authors registered at the full registration rate. All registered papers will be published in one of the following special issues provided that the author do major improvements and extension within the time frame that will be set by the conference and his/her paper is approved by the chief editor: International Journal of New Computer Architectures and their Applications (IJNCAA) International Journal of Digital Information and Wireless Communications (IJDIWC) International Journal of Cyber-Security and Digital Forensics (IJCSDF) International Journal of Information System Modeling and Design (IJISMD) International Journal of IT/Business Alignment and Governance (IJITBAG) International Journal of Information Technology and Web Engineering (IJITWE) Springer-Telecommuni- cation Systems Springer-Electronic Commerce Research ********************************************************************************************************************* Paper submission: http://sdiwc.net/conferences/2013/icieis2013/openconf/openconf.php ********************************************************************************************************************* *General Chair: - Azizah Abd Manaf, Universiti Teknologi Malaysia, Malaysia. *Program Chair: - Mazdak Zamani, Universiti Teknologi Malaysia, Malaysia

10 years, 8 months

Java-based Wiktionary Library (JWKTL) 1.0.0 released as open source software

by Judith Eckle-Kohler

[Apologies for X-posting] We are pleased to announce the release of the Java-based Wiktionary Library (JWKTL) 1.0.0 - an application programming interface for Wiktionary. Project homepage: http://code.google.com/p/jwktl/ == Overview == JWKTL (Java-based Wiktionary Library) is an application programming interface for the free multilingual online dictionary Wiktionary (http://www.wiktionary.org). JWKTL enables efficient and structured access to the information encoded in the English, the German, and the Russian Wiktionary language editions, including sense definitions, part of speech tags, etymology, example sentences, translations, semantic relations, and many other lexical information types. The Russian JWKTL parser is based on Wikokit (http://code.google.com/p/wikokit/). Prior to being available as open source software, JWKTL has been a research project at the Ubiquitous Knowledge Processing (UKP) Lab of the Technische Universität Darmstadt, Germany. The following people have mainly contributed to this project: Yevgen Chebotar, Iryna Gurevych, Christian M. Meyer, Christof Müller, Lizhen Qu, Torsten Zesch. == Publications == A detailed description of Wiktionary and JWKTL is available in our scientific articles: * Christian M. Meyer and Iryna Gurevych: Wiktionary: A new rival for expert-built lexicons? Exploring the possibilities of collaborative lexicography, Chapter 13 in S. Granger & M. Paquot (Eds.): Electronic Lexicography, pp. 259–291, Oxford: Oxford University Press, November 2012. (http://www.ukp.tu-darmstadt.de/publications/details/?no_cache=1&tx_bibtex_p…) * Christian M. Meyer and Iryna Gurevych: OntoWiktionary – Constructing an Ontology from the Collaborative Online Dictionary Wiktionary, chapter 6 in M. T. Pazienza and A. Stellato (Eds.): Semi-Automatic Ontology Development: Processes and Resources, pp. 131–161, Hershey, PA: IGI Global, February 2012. (http://www.ukp.tu-darmstadt.de/publications/details/?no_cache=1&tx_bibtex_p…) * Torsten Zesch, Christof Müller, and Iryna Gurevych: Extracting Lexical Semantic Knowledge from Wikipedia and Wiktionary, in: Proceedings of the 6th International Conference on Language Resources and Evaluation (LREC), pp. 1646–1652, May 2008. Marrakech, Morocco. (http://www.ukp.tu-darmstadt.de/publications/details/?no_cache=1&tx_bibtex_p…) == License and Availability == The latest version of JWKTL is available via Maven Central. If you use Maven as your build tool, then you can add JWKTL as a dependency in your pom.xml file: <dependency> <groupId>de.tudarmstadt.ukp.jwktl</groupId> <artifactId>jwktl</artifactId> <version>1.0.0</version> </dependency> JWKTL is available as open source software under the Apache License 2.0 (ASL). The software thus comes "as is" without any warranty (see license text for more details). JWKTL makes use of Berkeley DB Java Edition 5.0.73 (Sleepycat License), Apache Ant 1.7.1 (ASL), Xerces 2.9.1 (ASL), JUnit 4.10 (CPL). Some classes have been taken from the Wikokit project (available under multiple licenses, redistributed under the ASL license). See NOTICE.txt for further details. == Contact == Please direct any questions or suggestions to https://groups.google.com/forum/#!forum/jwktl-users Group E-Mail: jwktl-users(a)googlegroups.com Best wishes, Christian M. Meyer -- Christian M. Meyer, M.Sc. Doctoral Researcher Ubiquitous Knowledge Processing (UKP Lab) FB 20 Computer Science Department Technische Universität Darmstadt Hochschulstr. 10, D-64289 Darmstadt, Germany Phone [+49] (0)6151 16-5386, fax -5455, room S2/02/B113 meyer(a)ukp.informatik.tu-darmstadt.de www.ukp.tu-darmstadt.de<http://www.ukp.tu-darmstadt.de> Web Research at TU Darmstadt (WeRC) www.werc.tu-darmstadt.de<http://www.werc.tu-darmstadt.de>

10 years, 8 months

Software + controversy

by Marcio Goncalves

Hello, folks, Is there any free software in wich I can analyse the number of controversies in a Wikipedia article? *Marcio Gonçalves* Jornalista Professor Universitário Coordenador de Jornalismo Coordenador de Pós-graduação www.ciencianasnuvens.com.br (21) 9402-0511

10 years, 8 months

ICEEE2013 - IEEE Extended Paper Submission (Aug. 25)

by The Second International Conference on E-Learning and E-Technologies in Education (ICEEE)

ICEEE2013 CALL FOR PAPERS AND PARTICIPATION EXTENDED Paper Submission Deadline: August 25, 2013 +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+ The Second International Conference on E- Learning and E- Technologies in Education (ICEEE2013) September 23- 25, 2013 Lodz University of Technology, Lodz, Poland http://sdiwc.net/conferences/2013/iceee2013/ The ICEEE 2013 is technically co-sponsored by IEEE Poland. All papers will be submitted to IEEE for potential inclusion to IEEE Xplore. Best selected papers will be published in one of the following special issues: - Journal of Higher Education - International Journal of Knowledge and Learning - International Journal of E-Entrepreneurship and Innovation - International Journal of E-Services and Mobile Applications - International Journal of Technology and Educational Marketing - International Journal of Web-Based Learning and Teaching Technologies - International Journal of Digital Information and Wireless Communications - International Journal of New Computer Architectures and their Applications Workshop Presenter: Simon Wardman, South Nottingham College, UK Special Session Organizers: Sanwar Ali, Indiana University of Pennsylvania, USA Hocine Cherifi, Universite de Bourgogne, France Yoshiro Imai, Kagawa University, Japan Conference General Chairs: Jacek Stando, Lodz University of Technology, Poland Yoshiro Imai, Kagawa University, Japan +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+ For inquiries, please send an email to cn(a)sdiwc.net

10 years, 8 months

generating reports of visitor traffic + edit activity in a single report by theme?

by Stella Yu

Greetings, I am curious about generating reports about editing activity against pageviews on articles linked from a particular trending article. The hypothesis is that editing activity does not receive proportional increases to pageviews. For example, on July 6, 2013 Asiana Airlines Flight 214 crashed at San Francisco International Airport. In the weeks following the event, there was an increase of visitor traffic on articles such as aviation safety, black box (transportation), and cockpit voice recorder, and flight recorder. Empirical evidence shows that edit activity was low on those articles. Perhaps it’s because there was a lot of activity on the Asiana Airlines Flight 214 article? Does anyone know of any preexisting tools to generate these types of reports? I know it could be custom-made, but wanted to see if there was already any work done first. Stella

10 years, 8 months

Survey for Wikinews original reporters

by Laura Hale

Hi, If you are a Wikinews reporter in any language who has done original reporting any time in the past two years, we would like you to complete a survey at https://docs.google.com/forms/d/1kvLJYT8tKFmOoK-7mb8yWDc9yojT8b2nEElgwepCQh… the costs of doing original reporting. Even if you have done original reporting and spent no money directly, we would like you to report this. This research is being done by people affiliated with The Wikinewsie Group ( http://meta.wikimedia.org/wiki/The_Wikinewsie_Group ) to assess the level of current funding going into Wikinews original reporting, who is paying for it and what the outcomes for the money spent are. We hope to be able to use this information to better assist reporters in doing original reporting, finding funding through external grants to support it, and to better understand the inherent value in original news reporting. To original reporters, thank you for taking the time to answer the survey. If you have question about the research, please get in touch with me and I will be happy to discuss it. Sincerely, Laura Hale -- twitter: purplepopple blog: ozziesport.com

10 years, 8 months

Submission Extended until Aug. 20 :: IEEE - ICEEE2013 Poland

by The Second International Conference on E-Learning and E-Technologies in Education (ICEEE)

CALL FOR PAPERS and PARTICIPATION :: ICEEE2013 :: IEEE :: POLAND ============================================================================ The Second International Conference on E- Learning and E- Technologies in Education (ICEEE2013) http://sdiwc.net/conferences/2013/iceee2013/ September 23- 25, 2013 Lodz University of Technology, Lodz, Poland The ICEEE 2013 is technically co-sponsored by IEEE Poland. All papers will be submitted to IEEE for potential inclusion to IEEE Xplore. ============================================================================ For inquiries, please contact: Jackie Blanco cn(a)sdiwc.net www.sdiwc.net

10 years, 8 months

Re: [Wiki-research-l] Readable characters vs. size in bytes of articles

by Floeck, Fabian (AIFB)

Ok, I don't want to spam, but... I just finished downloading another random sample of 5000 articles with sizes of 5000 bytes and below (this time not excluding disambiguation articles, as the respective DB query is quite slow...) . For these, the correlation is 0.514. Plot [1] This seems to be in favor my observation from earlier that the smaller articles in byte size *might* show a weaker correlation. Very interesting topic, too bad I have to get back to project work now.. :) Best, Fabian [1] https://dl.dropboxusercontent.com/u/3021002/scatter_random5000_UNDER5001byt… ________________________________________ From: Giovanni Luca Ciampaglia [glciampagl(a)gmail.com] Sent: Wednesday, August 07, 2013 3:55 PM To: Floeck, Fabian (AIFB) Subject: Re: [Wiki-research-l] Readable characters vs. size in bytes of articles Hi Fabian, in principle you should be able to recover the same correlation also in the range 5800-6000 Kb, provided that you control for the noise in the data. From your scatterplot it looks like that the variance of the residuals is constant (a scatter plot of the residuals should be enough to confirm this), so if you standardize the residuals by the standard deviation of the residuals you should be able to recover the correlation, though the significance of such estimate might be at risk if the sample size is small. Thanks for the interesting discussion. Best, Giovanni On Wed 07 Aug 2013 08:02:21 AM EDT, Floeck, Fabian (AIFB) wrote: > > Update: > > Not surprising and congruent with Aarons results, I also get a high linear > correlation of 0.96 (random sample of 5000 articles) outside the 5800-6000 > sample even if I filter out Disamb articles. See scatterplot [1]. > > So first of all, it can be fairly certainly concluded that our methods of > cleaning are quite similar and are not the cause of mayor differences in the > measurements. > Secondly, this seems to be a very interesting distribution were the overall > correlation is very high but in certain sections (I'm using a speculative > plural here) of the distribution is very low. > That means we can make the statement "In general, byte size and display char > length of an article are highly correlated". This is however not automatically > valid once you limit the byte size of the articles you look at in any way (for > example, by just looking at Featured Articles, Stubs, etc. (I have yet to > check these myself)). Then, you will have to check again if the statement > holds true for the given subsample. > > These results show very nicely that random sampling in a population is not an > infallible "universal weapon" for inferring information about all subsamples > of a population and should, where possible, always be cross-checked with > non-random selective sample analysis. > > Next steps I'd like to take is to look at articles above or below a certain > size to see if the correlation differs (maybe because a different proportion > of their content is made up of templates). > > > > I'll give an update asap. > > > Best, > > Fabian > > > > [1] https://dl.dropboxusercontent.com/u/3021002/scatter_random5000_NOdisamb1.png > -- Giovanni Luca Ciampaglia Postdoctoral fellow Center for Complex Networks and Systems Research Indiana University ✎ 910 E 10th St ∙ Bloomington ∙ IN 47408 ☞ http://cnets.indiana.edu/ ✉ gciampag(a)indiana.edu

10 years, 8 months

Re: [Wiki-research-l] Readable characters vs. size in bytes of articles

by Floeck, Fabian (AIFB)

Hi Giovanni, thanks, good you mention that. But one question: did you by chance mistake the scatter plot I posted in my last mail (from the random 5000 article sample, corr: 0.96) for the one of the 5800-6000 byte sample (corr: 0.04)? Because the ladder was not posted yet and one looks like this: [1] or in a cut-off version at ~20000 chars like this: [2]. By the way: I split up the random 5000 article sample I posted last time at the median (3709 bytes) into two parts, each 2500 articles big. For the "higher byte size" part (>3709 bytes) the correlation is 0,964 For the "lesser byte size" part (<3710 bytes ) the correlation only 0,295 See plots [3] --> It seems from that sample as if the bigger articles seem to exhibit a higher correlation than the smaller ones. I also plotted the residuals, they "kind of" show homogeneity of variance, although I would have to check that with a test. See [4] All in all I feel that the question "How far and when can we rely on byte size to tell us the actual display character length of an article?" can maybe be better be answered when we look at the distribution of the ratio of bytes to display chars in different byte size segments. I'll try to look into that or encourage someone else to do it. Best, Fabian [1] https://dl.dropboxusercontent.com/u/3021002/scatter_5800-6000_complete1.png [2] https://dl.dropboxusercontent.com/u/3021002/scatter_5800-6000_cutoff20T1.png [3] over median: https://dl.dropboxusercontent.com/u/3021002/scatter_random5000_corrOVERmedi… under median: https://dl.dropboxusercontent.com/u/3021002/scatter_random5000_corrUNDERmed… (DIFFERENT SCALE!) under median with the scale from the "over median" plot: https://dl.dropboxusercontent.com/u/3021002/scatter_random5000_corrUNDERmed… [4] complete version: https://dl.dropboxusercontent.com/u/3021002/scatter_random5000_residual1.png , cut-off at 20000 bytes page_len: https://dl.dropboxusercontent.com/u/3021002/scatter_random5000_residual_sho… ________________________________________ From: Giovanni Luca Ciampaglia [glciampagl(a)gmail.com] Sent: Wednesday, August 07, 2013 3:55 PM To: Floeck, Fabian (AIFB) Subject: Re: [Wiki-research-l] Readable characters vs. size in bytes of articles Hi Fabian, in principle you should be able to recover the same correlation also in the range 5800-6000 Kb, provided that you control for the noise in the data. From your scatterplot it looks like that the variance of the residuals is constant (a scatter plot of the residuals should be enough to confirm this), so if you standardize the residuals by the standard deviation of the residuals you should be able to recover the correlation, though the significance of such estimate might be at risk if the sample size is small. Thanks for the interesting discussion. Best, Giovanni On Wed 07 Aug 2013 08:02:21 AM EDT, Floeck, Fabian (AIFB) wrote: > > Update: > > Not surprising and congruent with Aarons results, I also get a high linear > correlation of 0.96 (random sample of 5000 articles) outside the 5800-6000 > sample even if I filter out Disamb articles. See scatterplot [1]. > > So first of all, it can be fairly certainly concluded that our methods of > cleaning are quite similar and are not the cause of mayor differences in the > measurements. > Secondly, this seems to be a very interesting distribution were the overall > correlation is very high but in certain sections (I'm using a speculative > plural here) of the distribution is very low. > That means we can make the statement "In general, byte size and display char > length of an article are highly correlated". This is however not automatically > valid once you limit the byte size of the articles you look at in any way (for > example, by just looking at Featured Articles, Stubs, etc. (I have yet to > check these myself)). Then, you will have to check again if the statement > holds true for the given subsample. > > These results show very nicely that random sampling in a population is not an > infallible "universal weapon" for inferring information about all subsamples > of a population and should, where possible, always be cross-checked with > non-random selective sample analysis. > > Next steps I'd like to take is to look at articles above or below a certain > size to see if the correlation differs (maybe because a different proportion > of their content is made up of templates). > > > > I'll give an update asap. > > > Best, > > Fabian > > > > [1] https://dl.dropboxusercontent.com/u/3021002/scatter_random5000_NOdisamb1.png > -- Giovanni Luca Ciampaglia Postdoctoral fellow Center for Complex Networks and Systems Research Indiana University ✎ 910 E 10th St ∙ Bloomington ∙ IN 47408 ☞ http://cnets.indiana.edu/ ✉ gciampag(a)indiana.edu

10 years, 8 months

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Wiki-research-l August 2013