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Abstract: The recently arrived desktop search applications are weaker than their
web siblings as they cannot rely on PageRank-like ranking methods which have
revolutionized web search, since the documents are not well connected on the
desktop. The general aim of this thesis proposal is to discuss how to enhance and
contextualize desktop search based on semantic metadata collected from different
contexts (email, files and browser cache) and activities performed on a computer. (Update)
Active bibliography (related documents): More All
1.4: Task Specific Semantic Views: Extracting and - Integrating Contextual Metadata (2005)
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0.9: Semantically Enhanced Searching and Ranking - On The Desktop (2005)
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0.7: Semantically Enhanced Searching and Ranking on the Desktop - Paul Alexandru Chirita (2005)
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BibTeX entry: (Update)
@misc{ ghita-using,
author = "Stefania Ghita",
title = "Using Your Desktop as Personal Digital Library",
url = "citeseer.ist.psu.edu/ghita05using.html" }
Citations (may not include all citations):
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Semantically rich recommendations in social networks for sha..
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Semantically rich recommendations in social networks for sha..
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The Personal Publication Reader: Illustrating Web Data Extra..
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Task specific semantic views: Extracting and integrating con.. (context) - Ghita, Henze et al. - 2005
http://www.gnome.org/projects/beagle/
http://desktop.google.com/
http://developer.apple.com/macosx/tiger/spotlight.html
http://triple.semanticweb.org/
http://beta.toolbar.msn.com/
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