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AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
Schmitz, C., Hotho, A., Jäschke, R. & Stumme, G. Content Aggregation on Knowledge Bases using Graph Clustering 2006 The Semantic Web: Research and Applications   inproceedings URL  
Abstract: Recently, research projects such as PADLR and SWAP
have developed tools like Edutella or Bibster, which are targeted at
establishing peer-to-peer knowledge management (P2PKM) systems. In
such a system, it is necessary to obtain provide brief semantic
descriptions of peers, so that routing algorithms or matchmaking
processes can make decisions about which communities peers should
belong to, or to which peers a given query should be forwarded.
This paper provides a graph clustering technique on
knowledge bases for that purpose. Using this clustering, we can show
that our strategy requires up to 58% fewer queries than the
baselines to yield full recall in a bibliographic P2PKM scenario.
BibTeX:
@inproceedings{schmitz2006content,
  author = {Schmitz, Christoph and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd},
  title = {Content Aggregation on Knowledge Bases using Graph Clustering},
  booktitle = {The Semantic Web: Research and Applications},
  publisher = {Springer},
  year = {2006},
  volume = {4011},
  pages = {530-544},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/schmitz2006content.pdf}
}
Schmitz, C., Hotho, A., Jäschke, R. & Stumme, G. Content Aggregation on Knowledge Bases using Graph Clustering 2006 Proceedings of the 3rd European Semantic Web Conference   inproceedings URL  
BibTeX:
@inproceedings{schmitz2006content,
  author = {Schmitz, Christoph and Hotho, Andreas and J\"aschke, Robert and Stumme, Gerd},
  title = {Content Aggregation on Knowledge Bases using Graph Clustering},
  booktitle = {Proceedings of the 3rd European Semantic Web Conference},
  publisher = {Springer},
  year = {2006},
  volume = {4011},
  pages = {530-544},
  url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2006/schmitz2006sumarize_eswc.pdf}
}
Schmitz, C., Hotho, A., Jäschke, R. & Stumme, G. Content Aggregation on Knowledge Bases using Graph Clustering 2006 The Semantic Web: Research and Applications   inproceedings URL  
Abstract: Recently, research projects such as PADLR and SWAP
have developed tools like Edutella or Bibster, which are targeted at
establishing peer-to-peer knowledge management (P2PKM) systems. In
such a system, it is necessary to obtain provide brief semantic
descriptions of peers, so that routing algorithms or matchmaking
processes can make decisions about which communities peers should
belong to, or to which peers a given query should be forwarded.

This paper provides a graph clustering technique on
knowledge bases for that purpose. Using this clustering, we can show
that our strategy requires up to 58% fewer queries than the
baselines to yield full recall in a bibliographic P2PKM scenario.

BibTeX:
@inproceedings{schmitz2006content,
  author = {Schmitz, Christoph and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd},
  title = {Content Aggregation on Knowledge Bases using Graph Clustering},
  booktitle = {The Semantic Web: Research and Applications},
  publisher = {Springer},
  year = {2006},
  volume = {4011},
  pages = {530-544},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/schmitz2006content.pdf}
}

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