Category Archives: News

10.25.14
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LinkedUp – Vici Competition Awards

vici-1024x768The winners of the Linked Vici Competition, our third and final competition on open and linked data for educational purposes, have been announced at ISWC 2014, the 13th International Semantic Web Conference, in Riva del Garda, Italy.
Our work, the Visualization of Water Resources & Ecology, which provides rich means to search journals, tweets and Wikipedia annotations was awarded with the 3rd prize. The interactive visualizations address the Focused Track ‘Water Resources & Ecology’, proposed and supported by Elsevier, to see how linked data can be used for making the learning experience more appealing and enhanced. The reviewers spent quite some time clicking around and were “overall happy with the interface and with the data”.
Additionally, our work was the winner of the People’s Choice Award, which was selected by the participants of the ISWC 2014 conference.

Authors: Ricardo Kawase, Patrick Siehndel and Ujwal Gadiraju

PDF: kawase-vici

Demo: http://l3s.de/~kawase/vici/

 

09.27.14
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Vici Competition – Shortlist submissions

The Vici Competition runs from May 2014 to November 2014. In the final competition on linked and open data for educational purposes, people were invited to design and build advanced prototypes and tools that are driven by linked and/or open data. The tool should be mature and stable, and they should be used or have been used by a fair amount of users on a realistic scale (http://linkedup-challenge.org/vici/).

Our work, “Visualizing Research Works in the Water Resources Industry” was included in the shortlist of submissions. That means we are running for the big prize and for the people’s choice award!

Vote for us here: https://www.wishpond.com/vc/341881?vote_option_id=72664

Website: http://www.l3s.de/~kawase/vici/

author: Ricardo Kawase, Ujwal Gadiraju and Patrick Siehndel

 

09.15.14
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Visualizing Research Works in the Water Resources Industry

With the increasing practice of making data openly available, nowadays there is a growing amount of information easily available pertaining to water resources and ecology. Scientific works by researchers across the world contribute to the abundance in such data. Major challenges that emerge due to the volume of data include the discovery of useful and relevant content, as well as learning and interpretation of the various disparate content. In this work, we aim to aid researchers and interested stakeholders in understanding the vast landscape of scientific research in the water resources industry. We integrate different sources of data from the Web; journals from Elsevier, tweets from Twitter, and wikipedia annotations. We use interactive visualizations in order to engage the users and satisfy their information needs.

Online prototype: http://www.l3s.de/~kawase/vici/

06.07.14
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DBLPXplorer: Interactive Graphical Interfaces for the Computer Science Bibliography – SHORTLISTED – PEOPLE’S CHOICE WINNER

kawase-prize-vidi

Winners of the LinedUp Vidi challenge @ESWC2014

 

Vidi, the second of three consecutive competitions, sponsored and organized by the LinkedUp Project, had the goal to gather interesting and innovative tools and applications that analyze and/or integrate open web data for educational purposes.

With this goal in mind, L3S team of researchers (Ricardo Kawase, Ujival Gadiraju and Patrick Siehndel) proposed the DBLPXplorer, a set of interactive visualization tools to facilitate the browsing and discovery of scientific work. The work was awarded the People’s Choice Winner – a category where the winner was decided by the audience voting.

DBLPXplorer: http://linkedup-project.eu/2014/04/16/dblpxplorer/

Vidi Winners Announced: http://linkedup-project.eu/2014/05/29/vidi-winners-announced/

LinkedUp Project: http://linkedup-project.eu/

04.11.13
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FireMe! tracks Twitter users who want to get fired

fireme_logo

From time to time, people post tweets guided by strong emotions. By default, tweets are public and anyone, anywhere can instantly see your updates. This may lead to consequences that can be harmful to one’s personal and professional life.

FireMe! monitors Twitter and collects tweets from people who supposedly hate their jobs, or want to kill their bosses or coworkers. These tweets are displayed on the FireMe! site. In addition, FireMe! analyses the sentiment of the tweets, in order to calculate a user’s ’firemeter’ score. The FireMe! leaderboard features those users with the highest scores and who are most likely to get fired.

In a short period of three weeks, FireMe! sent out 4304 tongue-in-cheek warnings. 249 people deleted their questionable tweet within two hours. Further analysis of the tweets showed that job-haters usually have a small number of followers and use more profane language.

FireMe! is developed by Ricardo Kawase and colleagues at the L3S Research Center in Hannover, Germany. The work will be presented at the Web Science conference in Paris in April, 2013.

The team believes that young or inexperienced users would certainly benefit from post-hoc privacy alerts and warnings like FireMe! “Potential dangers of personal, negatively loaded tweets remain abstract for most users, until the damage has been done”.

FireMe! (fireme.l3s.uni-hannover.de)

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Referral paper: Ricardo Kawase, Bernardo Nunes, Eelco Herder, Wolfgang Nejdl and Marco Antonio Casanova. Who Wants To Get Fired? Proceedings ACM Web Science Conference, Web Science 2013, WebSci’13, Paris, France, May 2-4, 2012.
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In the media:

Are you about to get fired because of your Twitter account?
www.dailymail.co.uk/news/article-2300011/Are-fired-Twitter-account-This-new-app-warn-advance.html

FireMe! App Tracks Boss-Hate On Twitter
www.huffingtonpost.com/2013/03/26/fireme-twitter-app_n_2955641.html

FireMe! Twitter alert says you’ve overstepped the mark
www.newscientist.com/blogs/onepercent/2013/03/fireme-twitter-alert.html

Will That Tweet Get You Fired? This App Warns You
mashable.com/2013/03/26/fire-me-app-twitter/

FireMe! Twitter Service Makes Getting Fired Way Easier
www.geekosystem.com/fire-me-twitter/
Video coverage:

krdo: FireMe! App flags fireable tweets
www.krdo.com/news/FireMe-App-flags-fireable-tweets/-/417220/19568398/-/g52t4lz/-/index.html

CNN: Twitter tool saves you from yourself
edition.cnn.com/video/?/video/tech/2013/03/28/exp-twitter-tool-amanpour.cnn

FireMe! App Shows Tweets Trash Talking Bosses
www.newsy.com/videos/fireme-app-shows-tweets-trash-talking-bosses/

10.15.12
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TwikiMe! User profiles that make sense.

The use of social media has been rapidly increasing in the last years. Social media, such as Twitter, has become an important source of information for a variety of people. The public availability of data describing some of these social networks has led to a great deal of research in this area. Link prediction, user classification and community detection are some of the main research areas related to social networks. In this paper, we present a user modeling framework that uses Wikipedia to model user interests inside a social network. Our model of user interests reflects the areas a user is interested in, as well as the level of expertise a user has in a certain field.

Authors: Patrick Siehndel, Ricardo Kawase

PDF: siehndel-iswc2012

Online Prototype: http://twikime.l3s.uni-hannover.de/twikime.php

07.12.11
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Best Paper Award: Beyond the Usual Suspects: Context-Aware Revisitation Support

(picture taken by Paul De Bra)

The paper ’Beyond the Usual Suspects: Context-Aware Revisitation Support’ has won the Engelbart Best Paper Award at the 22nd ACM Conference on Hypertext and Hypermedia.

According to the jury report, the paper deals with a classic, relevant topic with potentials beyond what is stated in the paper. The paper presents an elegant prototype and a careful two-level evaluation of the approaches

The Engelbart Best Paper Award is named after Hypertext Pioneer Douglas Engelbart (born 1925).

See our previous blogpost for a short summary of the paper (or download the pdf).