sClippy: Connecting Personal Information and Linked Open Data

Presented at: 8th International Semantic Web Conference (ISWC2009)

by Tudor Groza, Laura Dragan, Siegfried Handschuh, Stefan Decker

Webpage: http://kcap09.stanford.edu/share/posterDemos/126/index.html
Webpage: http://kcap09.stanford.edu/share/posterDemos/126/paper126.pdf
Webpage: https://github.com/lidingpku/iswc-archive/raw/master/paper/iswc-2009-poster/126/paper126.pdf

The exponential growth of the World Wide Web in the last decade, brought an explosion in the information space, which has important consequences also in the area of scientific research. Thus, finding relevant work in a particular field and exploring the links between publications is quite a cumbersome task. Similarly, on the desktop, managing the publications acquired over time can represent a real challenge. Extracting semantic metadata, exploring the linked data cloud and using the semantic desktop for managing personal information represent, in part, solutions for different aspects of the above mentioned issues. In this poster/demo, we show an innovative approach for bridging these three directions with the overall goal of alleviating the information overload problem burdening early stage researchers.

Keywords: Semantic Web


Resource URI on the dog food server: http://data.semanticweb.org/conference/iswc/2009/paper/poster_demo/126


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