===========================================================================
CALL FOR PAPERS
===========================================================================
3rd Workshop on Social Aspects of the Web (SAW 2009)
in conjunction with
12th International Conference on Business Information Systems (BIS 2009)
Poznan, Poland
April 27, 28 or 29, 2009
http://bis.kie.ae.poznan.pl/12th_bis/wscfp.php?i=37&ws=saw2009
===========================================================================
Deadline for submissions: February 1, 2009
===========================================================================
In recent years, the Web has moved from a simple one-way communication
channel, extending traditional media, to a complex "peer-to-peer"
communication space with a blurred author/audience distinction and new
ways to create, share, and use knowledge in a social way.
This change of paradigm is currently profoundly transforming most areas
of our life: our interactions with other people, our relationships, ways
of gathering information, ways of developing social norms, opinions,
attitudes and even legal aspects, as well as ways of working and doing
business.
The change also raises a strong need for theoretical, empirical and
applied studies related to how people may interact on the Web, how they
actually do so, and what new possibilities and challenges are emerging
in the social, business and technology dimensions.
Following the two previous events, the goal of the 3rd Workshop is to
bring researchers and practitioners together to explore the issues and
challenges related to social aspects of the Web.
TOPICS OF INTEREST
* People on the social Web
* Individuals on the Web (identity, privacy, incentives, activity
models, trust and reputation, ...)
* Communities on the Web (roles, leadership, social norms and
conflicts, types of communities, ...)
* Collaboration on the Web (content and data development and
maintenance, decision taking ...)
* On-line and off-line life (mixed interaction models, on-line vs.
off-line communities, ... )
* Business activities in the social Web (sales, exchanges,
word-of-mouth, recruiting, marketing, ...)
* Data and content on the social Web
* Social content organization (tagging, classification,
recommendations, collaborative filtering, ...)
* Content dynamics (content flow and evolution, mashups, comments,
collaborative creation, ...)
* Semantic social Web (standards, annotation of social content/data,
ontology learning, ...)
* Data and social network portability (standards, policies,
technologies, licenses, ...)
* Social software and services
* Specific types of social software (social networks, blogs, wikis,
resources sharing, ...)
* Development (architectures, technologies, platforms,
infrastructures, ...)
* Adoption (critical mass problem, socio-technical gap, data and
social network migration, ...)
* Alternative user interaction models (games, mobile, mixed reality,
...)
* Social software in the enterprise (knowledge management, CRM,
collaborative software, ...)
* Business models of social services (pricing, cost models, customer
relation, content acquisition, ...)
* Mining the social Web
* Mining user-generated content (opinion, comments, rankings, forums,
...)
* Mining the social graph (collaborative filtering, social network
analysis, ...)
* Mining activity patterns (access, used features, participation,
interactions, ...)
* Entity-centric content integration (on people, experts, objects,
companies, locations, ...)
* Social Web mining in business (for marketing, products design,
customer support, ...)
SUBMISSION
* Long papers: max. 12 pages
* Work-in-progress reports: max. 6 pages
* Demo papers: max. 4 pages
Papers must be submitted in PDF format according to Springer LNBIP
template available from
http://www.springer.com/east/home/computer/lncs?SGWID=5-164-7-487211-0.
Submission system is available at
http://www.easychair.org/conferences/?conf=saw2009.
Papers approved for presentation at SAW 2009 will be published in BIS
2009 workshop proceedings, as a volume in Springer's Lecture Notes in
Business Information Processing (LNBIP) series.
WORKSHOP FORMAT
All authors of accepted papers as well as other participants will be
asked to read accepted papers abstracts before the workshop (papers will
be available on-line in advance) to facilitate discussion.
Workshop participants will be also invited to take part in the BIS
conference and other BIS workshops.
IMPORTANT DATES
* February 1, 2009 - submission deadline for papers
* February 22, 2009 - notification of acceptance/rejection
* March 15, 2009 - submission of final papers
* April 27, 28 or 29, 2009 - the workshop
ORGANIZERS
* Poznan University of Economics, Department of Information Systems
(http://kie.ae.poznan.pl/)
CHAIRS
* Dominik Flejter
* Tomasz Kaczmarek
* Marek Kowalkiewicz
PROGRAM COMMITTEE
* Krisztian Balog, University of Amsterdam, the Netherlands
* Simone Braun, FZI Karlsruhe, Germany
* John Breslin, DERI, NUI Galway, Ireland
* Tanguy Coenen, Vrije Universiteit Brussel, Belgium
* Sebastian Dietzold, University of Leipzig, Germany
* Davide Eynard, Politecnico di Milano, Italy
* Dominik Flejter, Poznan University of Economics, Poland
* Adam Jatowt, Kyoto University, Japan
* Tomasz Kaczmarek, Poznan University of Economics, Poland
* Marek Kowalkiewicz, SAP Research Brisbane, Australia
* Marcin Paprzycki, Polish Academy of Science, Poland
* Katharina Siorpaes, STI, University of Innsbruck, Austria
* Jie Tang, Tshingua University, China
* Celine van Damme, Vrije Universiteit Brussel, Belgium
* Valentin Zacharias, FZI Karlsruhe, Germany
===========================================================================
--
Dominik Flejter < http://dominik.flejter.net/ >
Poznan University of Economics
Department of Information Systems < http://www.kie.ae.poznan.pl/ >
SAW 2009 PC Chair
========================================================
CALL FOR PAPERS
========================================================
W I K I S Y M 2 0 0 9
The International Symposium on Wikis and Open Collaboration
http://www.wikisym.org/ws2009/
October 25-27 in Orlando, Florida, USA
In-cooperation with ACM SIGPLAN and ACM SIGWEB, co-located with ACM
OOPSLA 2009, peer-reviewed and archived in the ACM Digital Library
========================================================
The International Symposium on Wikis (WikiSym) is the premier conference
dedicated to wikis and related open collaboration systems and processes.
WikiSym 2009 aims to explore and extend the thriving wiki community,
bringing together researchers, practitioners, writers and scholars to
gather, discuss and share knowledge and experience on all areas related
to wikis and wiki philosophy, ranging from social to technical, and from
theoretical to experience studies.
The symposium combines a rigorously reviewed research paper track with
plenty of space for experience reports, discussions of work in progress,
demonstrations, tutorials, and lively informal last minute sessions in
open space and WikiFest sessions.
This year, WikiSym will be held in Orlando, Florida, USA---a city with a
tropical climate, poolside fruity drinks, and world-class entertainment
opportunities for adults and families.
== IMPORTANT DATES ==
* March 27th: Submission deadline for research papers, experience
reports, workshops, and panels
* April 24th: Submission deadline for posters, demonstrations, WikiFest
and Doctoral Symposium proposals
* May 22nd: Notifications for all submission categories (workshops earlier)
* October 25-27: WikiSym 2009!
== TOPICS OF INTEREST ==
WikiSym welcomes submissions of research papers (long and short),
experience reports, workshops, panels, posters, demonstrations, WikiFest
and Doctoral Symposium proposals.
Given the interdisciplinary nature of wiki and related systems, WikiSym
invites contributions in a wide range of fields:
* computer science and technology
* human-computer interaction
* communications and media studies
* education
* information and library science
* history, political science, geography
* linguistics, discourse analysis, language studies
* business, marketing, law
* natural sciences, medicine
Topics of special interest to the symposium include, but are not limited to:
* social software for collaboration and work group processes
* wiki user experiences, usability, and discourse analysis
* reputation systems, quality assurance processes
* scalability---social and technical
* wiki technologies and implementations
* translation and multilingual wiki content
* educational applications
* wiki for non-textual media (images, video, audio)
* content dynamics and wiki evolution
* wiki journalism
* wiki archiving and versioning
* wiki administration: dealing with abuse and resolving conflict
* wiki and the semantic web, knowledge management, tacit knowledge
* wiki for small audiences (departmental and family wikis)
* legal issues (copyright, licensing)
* visualization of wiki structure
* wiki fiction
== RESEARCH PAPERS ==
Research papers present integrative reviews or original reports of
substantive new work: theoretical, empirical, or in the development or
deployment of novel systems. We encourage emphasizing lessons learned
and providing a clear concise message to the audience about the
relevance of the work. The paper must place your work in context within
the field, citing related work and indicating clearly what aspects of
the work are new.
Research papers will be reviewed by the Program Committee to meet
rigorous academic standards of publication. They should be written in
English and must not exceed 10 pages (for full papers) or 4 pages (for
short papers). Papers will be reviewed both with respect to conceptual
quality and clarity of presentation. Authors of accepted papers are
expected to attend the conference in order to present the paper.
Accepted submissions will be published in the WikiSym proceedings and
archived in the ACM Digital Library. Submitted papers should use the ACM
SIG Proceedings Format, see:
http://www.acm.org/sigs/pubs/proceed/template.html
== EXPERIENCE REPORTS ==
Experience reports are an integral part of the conference program. These
reports provides a large group of peers the opportunity to learn from a
project's experience; they explore how concepts that sound good on paper
(and at conferences!) work on real projects. They are a valuable means
of communicating experiences, especially at the "bleeding edge". Many
attendees want to find out what it is like to start a company wiki, use
a wiki in classroom education, or build a political campaign around a
wiki. Experience reports present experience and reflections, together
with supporting evidence for any claims made. And they particularly
include reports that discuss both benefits and drawbacks of the
approaches used. Reports may focus on a particular aspect of technology
usage and practice, or describe broad project experiences. Some reports
focus on people, process or related challenges.
== WORKSHOPS ==
Workshops provide an opportunity for researchers and practitioners to
discuss and learn about topics that require extended engagement such as
new systems, research methods, standards and formats. A workshop should
require participants to engage with each other for at least half a day.
For shorter sessions, please consider WikiSym's open space format. A
workshop proposal should consist of approximately two pages describing
what you intend to do and how your session will meet the criteria
described above. It should include a concise abstract, proposed time
frame (half-day, full-day) and one-paragraph biographies of all people
relevant to the submission. Workshop proposals will be reviewed and
selected for their interest to the community. Each workshop will be
allocated a half-day or a full-day and a room.
== PANELS ==
Panels provide an interactive forum for bringing together people with
interesting points of view to discuss compelling wiki issues. Panels
involve participation from both the panelists and audience members in a
lively discussion. Proposals for panels should consist of approximately
two pages describing what you intend to do and how your session will
meet the criteria described above. It should include a concise abstract
and one-paragraph biographies of all people relevant to the submission.
A panel submission will be reviewed and selected for their interest to
the community. Each panel will be given a 90-minute time slot.
== POSTERS ==
Poster presentations enable researchers to present late-breaking
results, significant work in progress, or work that is best communicated
in conversation. WikiSym's lively poster sessions let conference
attendees exchange ideas one-on-one with authors, and let authors
discuss their work in detail with those attendees most deeply interested
in the topic.
Poster proposals may describe original research, engineering, or
experience reports. Submissions should consist of two page extended
abstract outlining the content of the poster. Successful applicants will
be invited display a poster, 1x2m in size, at a special plenary session
of the Symposium.
== DEMONSTRATIONS ==
Wikis are intended to be used, and no format is better suited for
demonstrating the utility of new wiki research and technology than
showing and using it. If you would like to demonstrate new features or
products, this is the place! Demonstrations give presenters an
opportunity to show running systems and gather feedback. Demo
submissions will be reviewed based on their relevance to the community.
A submission should be one page in length, with a title, and a short
description of the demo. The description should include what you plan
to demo, what you hope to get out of demoing, and how the audience will
benefit. A short note of any special technical requirements may be included.
== WIKI FEST ==
WikiFest is a conference session devoted to helping you start and grow a
successful wiki in your organization. Proposals should showcase a wiki
adoption strategy or example, with emphasis on how others can apply your
strategy to their own wiki.
Topics to be covered:
* Tools---Choose the right wiki software for your needs
* Adoption---How to run a pilot, establish a core group of users, and
grow usage.
* Uses---How does your team use a wiki? How has it helped your productivity?
* Obstacles---What are they, and how can you avoid or fix them?
== DOCTORAL SYMPOSIUM ==
The Doctoral Symposium is an interactive forum for doctoral students to
receive present and discuss their doctoral work. Students who are at
least one year away from dissertation completion are invited to submit
to the Doctoral Symposium. Students beginning their research are
especially invited to attend.
To submit a proposal send a 2-3 pages description of your dissertation
research, including:
* A description of your work
* The goals---what contributions will your research generate?
* The approach---what is being performed to achieve the goals? How will
results be validated?
Additionally, your adviser must send a brief statement of your
dissertation progress to date and a statement of recommendation to the
Doctoral Symposium chair.
== HOW TO SUBMIT ==
Please submit your papers or proposals in PDF format through our
submission system at the WikiSym website (available in early 2009).
* http://www.wikisym.org/ws2009
All accepted submissions will be published in the proceedings and
archived in the ACM Digital Library. Submitted work of all categories
should use the ACM SIG Proceedings Format, see:
http://www.acm.org/sigs/pubs/proceed/template.html
Questions regarding submissions may be directed at the respective chair
using the following email addresses:
* Research papers: papers(a)wikisym.org
* Experience reports: reports(a)wikisym.org
* Panels: panels(a)wikisym.org
* Workshops: workshops(a)wikisym.org
* Demonstrations: demos(a)wikisym.org
* Posters: posters(a)wikisym.org
* WikiFest: wikifest(a)wikisym.org
* Doctoral Symposium: docsym(a)wikisym.org
General questions should be directed at chair(a)wikisym.org.
== SYMPOSIUM COMMITTEE ==
* Dirk Riehle, SAP Labs LLC, USA, Symposium Chair
* Amy Bruckman, Georgia Institute of Technology, USA, Program Chair
* Ademar Aguiar, FEUP, Universidade do Porto, Portugal, Sponsorships Chair
* Luca de Alfaro, University of California at Santa Cruz, USA, Doctoral
Symposium Chair
* Claus Atzenbeck, Aalborg University Esbjerg, Denmark, Posters Chair
* Phoebe Ayers, University of California at Davis, Wikimedia Liason
* Robert Biddle, Carleton University, Experience Reports Chair
* Martin Cleaver, Blended Perspectives, Canada, Publicity Co-Chair
* Ward Cunningham, AboutUs.org and Cunningham & Cunningham, USA,
Honorary Member
* Alain Desilets, National Research Council of Canada, Canada, Tutorials
Chair
* Ted Ernst, AboutUs.org, USA, Open Space Facilitator
* Marc Laporte, TikiWiki CMS/Groupware, Webmaster
* Stewart Mader, Future Changes, WikiFest Chair
* James Noble, Victoria University of Wellington, New Zealand, Honorary
Member
* Felipe Ortega, Rey Juan Carlos University, Spain, Publicity Co-Chair
* Sebastien Paquet, Universite du Quebec a Montreal, Canada, Panels Chair
* Pattarawan Prasarnphanich, Chulalongkorn University, Thailand,
Demonstrations Chair
* Christian Wagner, City University of Hong Kong, China, Workshops Chair
== PROGRAM COMMITTEE ==
* Ademar Aguiar, FEUP, Universidade do Porto, Portugal
* Luca de Alfaro, University of California at Santa Cruz, USA
* Panagiota Alevizou, London School of Economics and Political Science, UK
* Mark Bernstein, Eastgate Systems, USA
* Robert Biddle, Carleton University, Canada
* Amy Bruckman, Georgia Institute of Technology, USA
* Thomas N. Burg, BlogTalk, Socialware, MindMeister, Austria
* Ed H. Chi, PARC, USA
* Ulrike Cress, Knowledge Media Research Center, Tuebingen, Germany
* Kevin Crowston, Syracuse University, USA
* Chris Dent, Peermore Limited, UK
* Alain Desilets, National Research Council of Canada, Canada
* Andrea Forte, Georgia Institute of Technology, USA
* Frank Fuchs-Kittowski, Fraunhofer ISST, Germany
* Andreea D. Gorbatai, Harvard Business School, Harvard University, USA
* Susan C. Herring, Indiana University, USA
* Brian Ingerson, Socialtext, USA
* Benjamin Mako-Hill, Massachusetts Institute of Technology, USA
* Aniket Kittur, Carnegie Mellon University, USA
* Marc Laporte, TikiWiki CMS/Groupware, Canada
* Sky Marsen, Macquarie University, Australia
* David W. McDonald, University of Washington, USA
* Paulo Merson, Software Engineering Institute, USA
* David Millard, University of Southampton, UK
* Stuart Moulthrop, University of Baltimore, USA
* Pattarawan Prasarnphanich, Chulalongkorn University, Thailand
* Joseph Reagle, New York University, USA
* Camille Roth, CNRS, France
* Frank Shipman, Texas A&M University, USA
* Dario Taraborelli, University of Surrey, UK
* Fernanda B. Viegas, IBM Research, USA
Potthast, Stein, Gerling. (2008). Automatic Vandalism Detection in
Wikipedia.
http://www.uni-weimar.de/medien/webis/publications/downloads/papers/stein_2…
Abstract. We present results of a new approach to detect destructive article
revi-
sions, so-called vandalism, in Wikipedia. Vandalism detection is a one-class
clas-
sification problem, where vandalism edits are the target to be identified
among
all revisions. Interestingly, vandalism detection has not been addressed in
the In-
formation Retrieval literature by now. In this paper we discuss the
characteristics
of vandalism as humans recognize it and develop features to render vandalism
detection as a machine learning task. We compiled a large number of
vandalism
edits in a corpus, which allows for the comparison of existing and new
detection
approaches. Using logistic regression we achieve 83% precision at 77% recall
with our model.* Compared to the rule-based methods that are currently
applied*
*in Wikipedia, our approach increases the F -Measure performance by 49%
while*
*being faster at the same time.*
Open the PDF, scan to page 667. This bot outperforms MartinBot, T-850
Robotic Assistant, WerdnaAntiVandalBot, Xenophon, ClueBot,
CounterVandalismBot, PkgBot, MiszaBot, and AntiVandalBot. It outperforms the
best of those (AntiVandalBot) by a very wide margin.
So why are you wasting the ISPs time and the police's time when the best of
the passive technology routes have not been explored? Using machine learning
*you pit the vandals against themselves. *Every time they perform a
particular kind of vandalism, it can never be performed again because the
bot will recognize it.
Cheers,
Potthast, Stein, Gerling. (2008). Automatic Vandalism Detection in
Wikipedia.
http://www.uni-weimar.de/medien/webis/publications/downloads/papers/stein_2…
Abstract. We present results of a new approach to detect destructive article
revi-
sions, so-called vandalism, in Wikipedia. Vandalism detection is a one-class
clas-
sification problem, where vandalism edits are the target to be identified
among
all revisions. Interestingly, vandalism detection has not been addressed in
the In-
formation Retrieval literature by now. In this paper we discuss the
characteristics
of vandalism as humans recognize it and develop features to render vandalism
detection as a machine learning task. We compiled a large number of
vandalism
edits in a corpus, which allows for the comparison of existing and new
detection
approaches. Using logistic regression we achieve 83% precision at 77% recall
with our model.* Compared to the rule-based methods that are currently
applied*
*in Wikipedia, our approach increases the F -Measure performance by 49%
while*
*being faster at the same time.*
Open the PDF, scan to page 667. This bot outperforms MartinBot, T-850
Robotic Assistant, WerdnaAntiVandalBot, Xenophon, ClueBot,
CounterVandalismBot, PkgBot, MiszaBot, and AntiVandalBot. It outperforms the
best of those (AntiVandalBot) by a very wide margin.
So why are you wasting the ISPs time and the police's time when the best of
the passive technology routes have not been explored? Using machine learning
*you pit the vandals against themselves. *Every time they perform a
particular kind of vandalism, it can never be performed again because the
bot will recognize it.
Cheers,
On Mon, Dec 29, 2008 at 4:15 PM, Brian <Brian.Mingus(a)colorado.edu> wrote:
> By the way, I ask those questions having read the bots user page. It is
> apparently quite effective, indicating to me that this user causes minimal
> disruption.
>
>
> On Mon, Dec 29, 2008 at 4:11 PM, Brian <Brian.Mingus(a)colorado.edu> wrote:
>
>> What percentage of his page moves were not picked up automatically by a
>> bot?
>>
>> What percentage of this users vandalism is not picked up by a bot?
>>
>> Why is the ISP responsible for what he dumps into Wikipedia, rather than
>> Wikipedia, as it allows itself to be a dumping ground? The Viacom/Youtube
>> lawsuit demonstrates that this is a legal grey area, thus, I see little
>> ground on which to punish the entire ip range of the ISP.
>>
>> Why are machine learning bots that are trained on previous vandalism in
>> order to detect new vandalism not being used? They have been developed. Why
>> is the Foundation not funding their further development?
>>
>> I believe the direction of this thread has been all wrong.
>>
>> Peace,
>>
>>
>>
>> On Mon, Dec 29, 2008 at 4:07 PM, Soxred93 <soxred93(a)gmail.com> wrote:
>>
>>> The problem with that is that many articles we have would not be
>>> found in any dictionary.
>>>
>>> X!
>>>
>>> On Dec 29, 2008, at 6:02 PM [Dec 29, 2008 ], Ian Woollard wrote:
>>>
>>> > On 29/12/2008, Joe Szilagyi <szilagyi(a)gmail.com> wrote:
>>> >> Allow blocking on a more granular level, if we know his ISP, and lock
>>> >> out moves and redirects for the whole damn ISPs, and specifically
>>> >> point the finger back in the block message: Blocked because of
>>> >> JarlaxleArtemis/Grawp with a nice shiny link to his long-term abuse
>>> >> page.
>>> >
>>> > It probably wouldn't work because of proxies and people that would
>>> > emulate/help him.
>>> >
>>> > Still, ideas that would affect less people rather than more like that
>>> > are almost certainly IMO the way to go; for example restricting the
>>> > range of characters and checking that the move title consists of words
>>> > in a dictionary before permitting non admins or users with a small
>>> > number of edits to complete a move might be desirable.
>>> >
>>> >> - Joe
>>> >
>>> > --
>>> > -Ian Woollard
>>> >
>>> > We live in an imperfectly imperfect world. Life in a perfectly
>>> > imperfect world would be much better.
>>> >
>>> > _______________________________________________
>>> > WikiEN-l mailing list
>>> > WikiEN-l(a)lists.wikimedia.org
>>> > To unsubscribe from this mailing list, visit:
>>> > https://lists.wikimedia.org/mailman/listinfo/wikien-l
>>>
>>>
>>> _______________________________________________
>>> WikiEN-l mailing list
>>> WikiEN-l(a)lists.wikimedia.org
>>> To unsubscribe from this mailing list, visit:
>>> https://lists.wikimedia.org/mailman/listinfo/wikien-l
>>>
>>
>>
>>
>> --
>> You have successfully failed!
>>
>
>
>
> --
> You have successfully failed!
>
--
You have successfully failed!
Hoi,
I have written my thoughts on what a study on localisation and user
statistics could be like. I have the feeling that localisation is only one
factor in attracting users to Wikipedia. Localisation is one aspect of
usability and it only becomes relevant when the technical environment is
available and ready for users. This is already much to ask for; on my
Windows XP computer only Safari of the modern browsers supports my home page
in edit mode on the Lingala wikipedia.
What I hope to learn from you is how we can best prove what the value of
localisation is. I am known to be an advocate of localisation and usability
and I often find that people do not welcome my message. I am convinced that
localisation is an essential part of attracting new people to both editing
and reading and become part of our communities. With a better understanding
of ist relative merit we may be possible to give localisation the right
priority.
Thanks,
GerardM
http://ln.wikipedia.org/w/index.php?title=Utilisateur:GerardM&action=edit
ACL/IJCNLP-2009 Workshop
"The People's Web meets NLP:
Collaboratively Constructed Semantic Resources"
Co-located with Joint conference of the 47th Annual Meeting of the
Association for Computational Linguistics and the 4th International
Joint Conference on Natural Language Processing of the Asian
Federation of Natural Language Processing
Singapore
6-7 August 2009
http://www.ukp.tu-darmstadt.de/acl-ijcnlp-2009-workshop/
INTRODUCTION
In recent years, online resources collaboratively constructed by ordinary
users on the Web have considerably influenced the NLP community. In many
works, they have been used as a substitute for conventional semantic
resources and as semantically structured corpora with great success.
While conventional resources such as WordNet are developed by trained
linguists [1], online semantic resources can now be automatically
extracted from the content collaboratively created by the users [2].
Thereby, the knowledge acquisition bottlenecks and coverage problems
pertinent to conventional lexical semantic resources can be overcome.
The resource that has gained the greatest popularity in this respect
so far is Wikipedia. However, other resources recently discovered in
NLP, such as folksonomies, the multilingual collaboratively
constructed dictionary Wiktionary, or Q&A sites like WikiAnswers or
Yahoo! Answers are also very promising. Moreover, new wiki-based
platforms such as Citizendium or Knol have recently emerged that
offer features distinct from Wikipedia and are of high potential
in terms of their use in NLP.
The benefits of using Web-based resources come along with new
challenges, such as the interoperability with existing resources and
the quality of the knowledge represented. As collaboratively created
resources lack editorial control, they are typically incomplete. For
the interoperability with conventional resources, the mappings have
to be investigated. The quality of collaboratively constructed
resources is questioned in many cases, and the information extraction
remains a complicated task due to the incompleteness and semi-
structuredness of the content. Therefore, the research community has
begun to develop and provide tools for accessing collaboratively
constructed resources [2,5].
The above listed challenges actually present a chance for NLP
techniques to improve the quality of Web-based semantic resources.
Researchers have therefore proposed techniques for link prediction [3]
or information extraction [4] that can be used to guide the "crowds"
to construct resources that are better suited for being used in NLP
in return.
[1] Christiane Fellbaum
WordNet An Electronic Lexical Database.
MIT press, 1998.
[2] Torsten Zesch, Christof Müller and Iryna Gurevych
Extracting Lexical Semantic Knowledge from Wikipedia and Wiktionary
Proceedings of the Conference on Language Resources and Evaluation
(LREC), 2008.
http://www.ukp.tu-darmstadt.de/software/jwpl/http://www.ukp.tu-darmstadt.de/software/jwktl/
[3] Rada Mihalcea and Andras Csomai
Wikify!: Linking Documents to Encyclopedic Knowledge.
Proceedings of the Sixteenth ACM Conference on Information and
Knowledge Management, CIKM 2007.
[4] Daniel S. Weld et al.
Intelligence in Wikipedia.
Twenty-Third Conference on Artificial Intelligence (AAAI), 2008.
[5] Kotaro Nakayama et al.
Wikipedia Mining - Wikipedia as a Corpus for Knowledge Extraction.
Proceedings of the Annual Wikipedia Conference (Wikimania), 2008.
http://wikipedia-lab.org/en/index.php
TOPICS
The workshop will bring together researchers from both worlds: those
using collaboratively created resources in NLP applications such as
information retrieval, named entity recognition, or keyword extraction,
and those using NLP applications for improving the resources or
extracting different types of semantic information from them. Hopefully,
this will turn into a feedback loop, where NLP techniques improved by
collaboratively constructed resources are used to improve the resources
in exchange.
Specific topics include but are not limited to:
* Different types of collaboratively constructed resources, such as
wiki-based platforms, Q&A sites or folksonomies;
* Using collaboratively constructed resources in NLP such as
information retrieval, text categorization, information
extraction, etc.;
* Analyzing the properties of collaboratively constructed resources
related to their use in NLP;
* Interoperability of collaboratively constructed resources with
conventional semantic resources and between themselves;
* Converting unstructured information into structured lexical
semantic information; tools for mining social and collaborative
content;
* Quality issues with respect to collaboratively constructed resources.
We also encourage the submission of short papers describing publicly
available tools for accessing or analyzing collaboratively created
resources. During the breaks, tables can be provided for demonstrations.
INVITED SPEAKER
Rada Mihalcea, University of North Texas
SUBMISSION INFORMATION
Full paper submissions should follow the two-column format of ACL-IJCNLP
2009 proceedings without exceeding eight (8) pages of content plus one
extra page for references. Short paper submissions should also follow
the two-column format of ACL-IJCNLP 2009 proceedings, and should not
exceed four (4) pages, including references.
Submission will be electronic using a submission software that will be
available later at the conference website. All accepted papers will be
presented orally and published in the workshop proceedings.
IMPORTANT DATES
Paper submission deadline (full and short): May 1, 2009
Notification of acceptance of papers: June 1, 2009
Camera-ready copy of papers due: June 7, 2009
ACL-IJCNLP 2009 Workshops: Aug 6-7, 2009
ORGANIZERS
Iryna Gurevych
Torsten Zesch
Ubiquitous Knowledge Processing Lab
Technical University of Darmstadt, Germany
PROGRAM COMMITTEE
Delphine Bernhard Technische Universiät Darmstadt
Paul Buitelaar DFKI Saarbruecken
Razvan Bunescu University of Texas at Austin
Pablo Castells Universidad Autónonoma de Madrid
Philipp Cimiano Karlsruhe University
Irene Cramer Dortmund University of Technology
Andras Csomai Google Inc.
Ernesto De Luca University of Magdeburg
Roxana Girju University of Illinois at Urbana-Champaign
Andreas Hotho University of Kassel
Graeme Hirst University of Toronto
Ed Hovy University of Southern California
Jussi Karlgren Swedish Institute of Computer Science
Boris Katz Massachusetts Institute of Technology
Adam Kilgarriff Lexical Computing Ltd
Chin-Yew Lin Microsoft Research
James Martin University of Colorado Boulder
Olena Medelyan University of Waikato
David Milne University of Waikato
Saif Mohammad University of Maryland
Dan Moldovan University of Texas at Dallas
Kotaro Nakayama University of Tokyo
Ani Nenkova University of Pennsylvania
Guenter Neumann DFKI Saarbruecken
Maarten de Rijke University of Amsterdam
Magnus Sahlgren Swedish Institute of Computer Science
Manfred Stede Potsdam University
Benno Stein Bauhaus University Weimar
Tonio Wandmacher University of Osnabrueck
Rene Witte Concordia University Montreal
Hans-Peter Zorn European Media Lab, Heidelberg
===========================================================================
CALL FOR PAPERS
===========================================================================
3rd Workshop on Social Aspects of the Web (SAW 2009)
in conjunction with
12th International Conference on Business Information Systems (BIS 2009)
Poznan, Poland
April 27, 28 or 29, 2009
http://bis.kie.ae.poznan.pl/12th_bis/wscfp.php?i=37&ws=saw2009
===========================================================================
Deadline for submissions: February 1, 2009
===========================================================================
In recent years, the Web has moved from a simple one-way communication
channel, extending traditional media, to a complex "peer-to-peer"
communication space with a blurred author/audience distinction and new
ways to create, share, and use knowledge in a social way.
This change of paradigm is currently profoundly transforming most areas
of our life: our interactions with other people, our relationships, ways
of gathering information, ways of developing social norms, opinions,
attitudes and even legal aspects, as well as ways of working and doing
business.
The change also raises a strong need for theoretical, empirical and
applied studies related to how people may interact on the Web, how they
actually do so, and what new possibilities and challenges are emerging
in the social, business and technology dimensions.
Following the two previous events, the goal of the 3rd Workshop is to
bring researchers and practitioners together to explore the issues and
challenges related to social aspects of the Web.
TOPICS OF INTEREST
* People on the social Web
* Individuals on the Web (identity, privacy, incentives, activity
models, trust and reputation, ...)
* Communities on the Web (roles, leadership, social norms and
conflicts, types of communities, ...)
* Collaboration on the Web (content and data development and
maintenance, decision taking ...)
* On-line and off-line life (mixed interaction models, on-line vs.
off-line communities, ... )
* Business activities in the social Web (sales, exchanges,
word-of-mouth, recruiting, marketing, ...)
* Data and content on the social Web
* Social content organization (tagging, classification,
recommendations, collaborative filtering, ...)
* Content dynamics (content flow and evolution, mashups, comments,
collaborative creation, ...)
* Semantic social Web (standards, annotation of social content/data,
ontology learning, ...)
* Data and social network portability (standards, policies,
technologies, licenses, ...)
* Social software and services
* Specific types of social software (social networks, blogs, wikis,
resources sharing, ...)
* Development (architectures, technologies, platforms,
infrastructures, ...)
* Adoption (critical mass problem, socio-technical gap, data and
social network migration, ...)
* Alternative user interaction models (games, mobile, mixed reality,
...)
* Social software in the enterprise (knowledge management, CRM,
collaborative software, ...)
* Business models of social services (pricing, cost models, customer
relation, content acquisition, ...)
* Mining the social Web
* Mining user-generated content (opinion, comments, rankings, forums,
...)
* Mining the social graph (collaborative filtering, social network
analysis, ...)
* Mining activity patterns (access, used features, participation,
interactions, ...)
* Entity-centric content integration (on people, experts, objects,
companies, locations, ...)
* Social Web mining in business (for marketing, products design,
customer support, ...)
SUBMISSION
* Long papers: max. 12 pages
* Work-in-progress reports: max. 6 pages
* Demo papers: max. 4 pages
Papers must be submitted in PDF format according to Springer LNBIP
template available from
http://www.springer.com/east/home/computer/lncs?SGWID=5-164-7-487211-0.
Submission system is available at
http://www.easychair.org/conferences/?conf=saw2009.
Papers approved for presentation at SAW 2009 will be published in BIS
2009 workshop proceedings, as a volume in Springer's Lecture Notes in
Business Information Processing (LNBIP) series.
WORKSHOP FORMAT
All authors of accepted papers as well as other participants will be
asked to read accepted papers abstracts before the workshop (papers will
be available on-line in advance) to facilitate discussion.
Workshop participants will be also invited to take part in the BIS
conference and other BIS workshops.
IMPORTANT DATES
* February 1, 2009 - submission deadline for papers
* February 22, 2009 - notification of acceptance/rejection
* March 15, 2009 - submission of final papers
* April 27, 28 or 29, 2009 - the workshop
ORGANIZERS
* Poznan University of Economics, Department of Information Systems
(http://kie.ae.poznan.pl/)
CHAIRS
* Dominik Flejter
* Tomasz Kaczmarek
* Marek Kowalkiewicz
PROGRAM COMMITTEE
* Krisztian Balog, University of Amsterdam, the Netherlands
* Simone Braun, FZI Karlsruhe, Germany
* John Breslin, DERI, NUI Galway, Ireland
* Tanguy Coenen, Vrije Universiteit Brussel, Belgium
* Sebastian Dietzold, University of Leipzig, Germany
* Davide Eynard, Politecnico di Milano, Italy
* Dominik Flejter, Poznan University of Economics, Poland
* Adam Jatowt, Kyoto University, Japan
* Tomasz Kaczmarek, Poznan University of Economics, Poland
* Marek Kowalkiewicz, SAP Research Brisbane, Australia
* Marcin Paprzycki, Polish Academy of Science, Poland
* Katharina Siorpaes, STI, University of Innsbruck, Austria
* Jie Tang, Tshingua University, China
* Celine van Damme, Vrije Universiteit Brussel, Belgium
* Valentin Zacharias, FZI Karlsruhe, Germany
===========================================================================
--
Dominik Flejter < http://dominik.flejter.net/ >
Poznan University of Economics
Department of Information Systems < http://www.kie.ae.poznan.pl/ >
SAW 2009 PC Chair
Does anyone have a suggestion on converting discussion archives for
analysis? When you convert them to PDFs you lose anything with a
{{discussion-top}} box thing around it. I was hoping to use them in
Atlas.ti (qualitative analysis software) which is supposed to be pdf
friendly in its latest version.
Thanks, Mike Lyons
Saw this on the Linguist List and thought it might be of interest to folks here.
cheers
Brianna
USER-CONTRIBUTED KNOWLEDGE AND ARTIFICIAL INTELLIGENCE: AN EVOLVING SYNERGY
IJCAI 2009 Workshop
<http://lit.csci.unt.edu/~wikiai09/index.php/Main_Page>
==Overview==
The performance of an Artificial Intelligence system often depends on
the amount of world knowledge available to it. During the last decade,
the AI community has witnessed the emergence of a number of highly
structured knowledge repositories whose collaborative nature has led
to a dramatic increase in the amount of world knowledge that can now
be exploited in AI applications. Arguably, the best-known repository
of user-contributed knowledge is Wikipedia. Since its inception less
than eight years ago, it has become one of the largest and fastest
growing online sources of encyclopedic knowledge. One of the reasons
why Wikipedia is appealing to contributors and users alike is the
richness of its embedded structural information: articles are
hyperlinked to each other and connected to categories from an ever
expanding taxonomy; pervasive language phenomena such as synonymy and
polysemy are addressed through redirection and disambiguation pages;
entities of the same type are described in a consistent format using
infoboxes; related articles are grouped together in series templates.
Many more repositories of user-contributed knowledge exist besides
Wikipedia. Collaborative tagging in Delicious and community-driven
question answering in Yahoo! Answers and Wiki Answers are only a few
examples of knowledge sources that, like Wikipedia, can become a
valuable asset for AI researchers. Furthermore, AI methods have the
potential to improve these resources, as demonstrated recently by
research on personalized tag recommendations, or on matching user
questions with previously answered questions. Consequently, we believe
the time is ripe for a dedicated event focused on the synergy between
repositories of user-contributed knowledge and the research in
Artificial Intelligence.
The workshop is intended to be highly interdisciplinary. We encourage
participation of researchers from different perspectives, including
(but not limited to) machine learning, computational linguistics,
information retrieval, information extraction, question answering,
knowledge representation, and others. We also encourage participation
of researchers from other areas who might benefit from the use of
large bodies of machine-readable knowledge.
== Topics==
Topics covered by this workshop include, but are not limited to:
* Using user-contributed knowledge as a source of training data for AI tasks
* Automatic methods for improving the quality of user contributions
* Routing tasks to people who have the expertise to perform them well
* Integrating Wikipedia with existing ontologies (e.g. WordNet, CYC, ODP)
* Extracting annotated data from user contributions
* Enriching user contributions with new types of structural information
* User-contributed knowledge and the Semantic Web / Web 2.0
* Automatic extraction and use of cross-lingual information
* Computerized use of satellite Wiki projects such as Wiktionary,
Wikibooks or Wikispecies
==Workshop Format==
The workshop is planned as a one-day event (full day), which will
consist of an invited talk, paper and demo presentations, and a
discussion panel.
==Submission Info==
We invite the submission of regular full papers (up to 6 pages), short
papers reporting on late-breaking results (up to 3 pages), and
descriptions of system demonstrations (up to 1 page) using the IJCAI
style. Submissions that have been accepted for publication elsewhere
or are under review for another conference must clearly state so on
the front page of the paper.
Submissions should be properly anonymized to make them suitable for
double-blind review. The papers will be submitted through the
EasyChair site at http://www.easychair.org/conferences/?conf=wikiai09
== Important Dates==
Deadline for long paper submission: March 6th, 2009
Deadline for short papers and demos: March 27th, 2009
Notification of acceptance: April 17th, 2009
Camera-ready papers due at IJCAI: May 8th, 2009
Workshop date: one day between July 11 and July 13, 2009 (to be defined later)
--
They've just been waiting in a mountain for the right moment:
http://modernthings.org/
Dear friend,
We are conducting a study on the motivation of the knowledge sharing on the
Wikipedia community.
The contributors’ experience to Linux is very important to the design and
management of this knowledge platform.
Would you please post the following on-line questionnaire message to the
Wikipedia platform or forward the message to the members?
After the survey is done, we will randomly select twenty persons and present
them with USB 2GB Flash Drives.
Besides, with each valid questionnaire, we will donate US $1 dollar to the
Wikimedia Foundation.
The result of this survey is analyzed in an anonymous way and is only
regarded as the academic use.
Please help us to complete the data collection.
Thanks so much for your help.
Cheers,
Joanne
[The Message content]
Dear friends,
We are conducting a study on the motivation of the knowledge sharing on
Wikipedia. Your experience of the read from and write to Wikipedia is very
important to the design and management of this knowledge platform. The
survey will take about two minutes. We deeply appreciate your help on
answering the following questions.
After the survey is done, we will randomly select twenty persons and
present them with USB 2GB Flash Drives. Besides, with each valid
questionnaire, we will donate US $1 dollar to the Wikimedia Foundation. The
result of this survey is analyzed in an anonymous way and is only regarded
as the academic use. Please feel free to fill out the questionnaire. Thanks
again for your time and valuable input.
May happiness and health be with you everyday!
★ On-line Questionnaire: http://140.119.19.152:8080/wiki/
Shari S. C. Shang
Eldon Y. Li
Professor,
Department of Management Information Systems,
National Chengchi University
Tel.: +886-2-82374038; Fax: +886-2-29393754 ; E-mail: s1213527(a)yahoo.com.
tw