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The Web of Data as a Complex System - First insight into its multi-scale  network properties Christophe Guéret,  Shenghui Wang , and Stefan Schlobach   Department of Computer Science, Network Institute Vrije Universiteit Amsterdam
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What is the Web of Data? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Four principles of Linked Data ,[object Object],[object Object],[object Object],[object Object],[object Object]
http://dbpedia.org/resource/Amsterdam http://dbpedia.org/resource/City http://www.w3.org/1999/02/22-rdf-syntax-ns# type http://umbel.org/umbel/ne/wikipedia/Amsterdam http://www.w3.org/2002/07/owl#sameAs http://www.freebase.com/view/en/abraham_pais http://dbpedia.org/ontology/birthPlace An example of linked data ,[object Object],[object Object]
Since 2006, people are creating linked data
October 2007
July 2009
Evolution of the Web of Data
The WoD is a complex system! ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Amsterdam The Netherlands isLocatedIn Christophe VU Amsterdam workIn isLocatedIn workIn workIn The links have explicit semantics, which brings implicit links deduced after the reasoning process
People are trying to use the WoD ,[object Object],[object Object],[object Object],http://challenge.semanticweb.org/
The WoD itself should be robust  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Network analysis A new way of seeing the WoD   What network analysis tells us
A new way of seeing the WoD Consider the WoD as network
Applying network analysis over the WoD ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Scales of observation of the WoD ,[object Object]
Graph-scale WoD network ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object]
The degree of 7 is critical point after which the network is not scale-free any more.
Top central nodes Betweenness centrality Closeness centrality Degree centrality Every centrality has a specific meaning... Node Value DBpedia 0.332 DBLP Berlin 0.108  DBLP (RKB) 0.100 DBLP Hannover 0.097 FOAF profiles 0.075 Node Value DBpedia 0.762 Geonames 0.614 Drug Bank 0.576 Linked MDB 0.544 Flickr wrappr 0.526 Node Value DBpedia 0.505 UniProt 0.266 DBLP (RKB) 0.266 ACM (RKB) 0.229 GeneID 0.211
Scales of observation of the WoD ,[object Object]
Triple-scale WoD network ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],Network Nodes Eges Average path length Components BTC 605K 860K 2.15 602K BTC aggregated  14K 31K 2.80 7K BTC aggregated + filter 37 91 1.88 17
Degree distribution BTC BTC aggregated Power-law distribution
Top central nodes:
The next steps   Open challenges Ongoing research activities at VUA
Challenges: ,[object Object],[object Object],Amsterdam The Netherlands isLocatedIn Christophe VU Amsterdam workIn isLocatedIn workIn workIn Asia isLocatedIn
Challenges: ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
“ sameAs” networks
Monitoring and Improving the WoD ,[object Object],[object Object],[object Object],[object Object],Guéret, Groth, van Harmelen, Schlobach, " Finding the Achilles Heel of the Web of Data:   using network analysis for link-recommendation ", ISWC2010 - To appear
{cgueret, swang, schlobac}@few.vu.nl We need to study more!

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ECCS 2010

  • 1. The Web of Data as a Complex System - First insight into its multi-scale network properties Christophe Guéret, Shenghui Wang , and Stefan Schlobach   Department of Computer Science, Network Institute Vrije Universiteit Amsterdam
  • 2.
  • 3.
  • 4.
  • 5.
  • 6. Since 2006, people are creating linked data
  • 9. Evolution of the Web of Data
  • 10.
  • 11. Amsterdam The Netherlands isLocatedIn Christophe VU Amsterdam workIn isLocatedIn workIn workIn The links have explicit semantics, which brings implicit links deduced after the reasoning process
  • 12.
  • 13.
  • 14. Network analysis A new way of seeing the WoD   What network analysis tells us
  • 15. A new way of seeing the WoD Consider the WoD as network
  • 16.
  • 17.
  • 18.
  • 19.
  • 20. The degree of 7 is critical point after which the network is not scale-free any more.
  • 21. Top central nodes Betweenness centrality Closeness centrality Degree centrality Every centrality has a specific meaning... Node Value DBpedia 0.332 DBLP Berlin 0.108 DBLP (RKB) 0.100 DBLP Hannover 0.097 FOAF profiles 0.075 Node Value DBpedia 0.762 Geonames 0.614 Drug Bank 0.576 Linked MDB 0.544 Flickr wrappr 0.526 Node Value DBpedia 0.505 UniProt 0.266 DBLP (RKB) 0.266 ACM (RKB) 0.229 GeneID 0.211
  • 22.
  • 23.
  • 24.
  • 25. Degree distribution BTC BTC aggregated Power-law distribution
  • 27. The next steps   Open challenges Ongoing research activities at VUA
  • 28.
  • 29.
  • 31.
  • 32. {cgueret, swang, schlobac}@few.vu.nl We need to study more!

Notes de l'éditeur

  1. All the previous version of the picture are on http://richard.cyganiak.de/2007/10/lod/