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Content Aggregation on Knowledge Bases using Graph Clustering

  • Recently, research projects such as PADLR and SWAP have developed tools like Edutella or Bibster, which are targeted at establishing peer-topeer knowledge management systems. In such a system, it is necessary to obtain 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 peer-to-peer scenario.

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Metadaten
Author:Christoph Schmitz, Andreas Hotho, Robert Jäschke, Gerd Stumme
URN:https://nbn-resolving.org/urn:nbn:de:gbv:hil2-opus-617
Document Type:Conference Proceeding
Language:English
Date of Publication (online):2011/05/06
Contributing Corporation:Knowledge and Data Engineering Group, Universit¨at Kassel
Release Date:2011/05/06
Source:Workshop "Wissens- und Erfahrungsmanagement" der Fachgruppe Wissensmangement 2006 Hildesheim
PPN:Link zum Katalog
Contributor:Althoff, Klaus-Dieter
Institutes:Fachbereich IV / Informatik
DDC classes:000 Allgemeines, Informatik, Informationswissenschaft / 000 Allgemeines, Wissenschaft / 004 Informatik
Access Rights:Frei zugänglich