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/

 

Extracting architectural patterns from Web data

Knowledge about the reception of architectural structures is crucial for architects or urban planners. Yet obtaining such information has been a challenging and costly activity. With the advent of the Web, a vast amount of structured and unstructured data describing architectural structures has become available publicly. This includes information about the perception and use of buildings (for instance, through social media), and structured information about the building’s features and characteristics (for instance, through public Linked Data). In this paper, we present the first step towards the exploitation of structured data available in the Linked Open Data cloud, in order to determine well-perceived architectural patterns.

Authors: Ujwal Gadiraju, Ricardo Kawase, Stefan Dietze

PDF:gadiraju-iswc2014

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

 

Interlinking Documents based on Semantic Graphs

Connectivity and relatedness of Web resources are two concepts that define to what extent different parts are connected or related to one another. Measuring connectivity and relatedness between Web resources is a growing field of research, often the starting point of recommender systems. Although relatedness is liable to subjective interpretations, connectivity is not. Given the Semantic Web’s ability of linking Web resources, connectivity can be measured by exploiting the links between entities. Further, these connections can be exploited to uncover relationships between Web resources. In this paper, we apply and expand a relationship assessment methodology from social network theory to measure the connectivity between documents. The connectivity measures are used to identify connected and related Web resources. Our approach is able to expose relations that traditional text-based approaches fail to identify. We validate and assess our proposed approaches through an evaluation on a real world dataset, where results show that the proposed techniques outperform state of the art approaches.

Authors: Bernardo Pereira Nunes, Ricardo Kawase, Besnik Fetahu, Stefan Dietze, Marco A. Casanova and Diana Maynard

PDF: nunes-kes2013