LinkedUp – Vici Competition Awards

The 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/

 

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

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/

Best Paper Award: Unsupervised Auto-Tagging for Learning Object Enrichment

ECTEL2010 Award Cerimony (Katherine Maillet, Ricardo Kawase and Wolfgang Nejdl)

Best paper AWARD (Sponsored by EATEL): Unsupervised Auto-Tagging for Learning Object Enrichment. Ernesto Diaz-Aviles, Marco Fisichella, Ricardo Kawase, Wolfgang Nejdl, and Avaré Stewart.

ECTEL2011 Awards Website

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).