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A Model of the  Scholarly Community Marko A. Rodriguez http://www.soe.ucsc.edu/~okram March 30, 2007
MESUR Project ,[object Object],[object Object],[object Object]
Outline ,[object Object],[object Object],[object Object]
Terminology ,[object Object],[object Object],[object Object],[object Object]
The Data ,[object Object],[object Object],[object Object]
The Data ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Data ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Data ,[object Object],[object Object]
The Model ,[object Object]
The Model ,[object Object],[object Object],[object Object],[object Object],[object Object]
The Model ,[object Object],[object Object],[object Object]
The Model ,[object Object]
The Model ,[object Object],SELECT ?c as grandparent WHERE  ( ?a childOf ?b)  ( ?b childOf ?c )
The Model Rodriguez, M.A., Bollen, J., Van de Sompel, H., “ A Practical Ontology for the Large-Scale Modeling of Scholarly Artifacts and their Usage ”, IEEE/ACM Joint Conference on Digital Libraries, Vancouver, 2007.
The Model
The Model
The Model SELECT ?x WHERE  ( ?x rdf:type mesur:Publishes )  ( ?x mesur:hasAuthor lanl:marko ) ( ?x mesur:hasAuthor lanl:herbertv )  INSERT < _123 rdf:type mesur:Coauthor > INSERT < _123 mesur:hasSource lanl:marko > INSERT < _123 mesur:hasSink lanl:herbertv > INSERT < _123 mesur:hasWeight COUNT(?x) > INSERT < _456 rdf:type mesur:Coauthor > INSERT < _456 mesur:hasSource lanl:herbertv > INSERT < _456 mesur:hasSink lanl:marko > INSERT < _456 mesur:hasWeight COUNT(?x) > From the Publishes contexts, generate a weighted coauthorship network.
The Model Phase 1 is looking just at group level usage and bibliographic data
The Metrics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Metrics SELECT  ?x WHERE  ( ?x rdf:type mesur:Publishes )  ( ?x mesur:hasUnit ?a ) ( ?x mesur:hasGroup ?b ) ( ?b mesur:partOf urn:issn:1082-9873 ) ( ?x mesur:hasTime ?t ) AND  (?t > 2004 AND ?t < 2007) ( ?y rdf:type mesur:Citation ) ( ?y mesur:hasSource ?c ) ( ?y mesur:hasSink ?a ) ( ?z rdf:type mesur:Publishes ) ( ?z mesur:hasUnit ?c ) ( ?z mesur:hasTime ?u) AND ?u = 2007 SELECT  ?y WHERE  ( ?y rdf:type mesur:Publishes ) ( ?y mesur:hasGroup ?a ) ( ?a mesur:partOf urn:issn:1082-9873 ) ( ?y mesur:hasTime ?t ) AND  (?t > 2004 AND ?t < 2007) INSERT < _123 rdf:type mesur:ImpactFactor > INSERT < _123 mesur:hasObject urn:issn:1082-9873 > INSERT < _123 mesur:hasStartTime 2007 > INSERT < _123 mesur:hasEndTime 2007 > INSERT < _123 mesur:hasNumbericValue  (COUNT(?x) / COUNT(?y)) > From the Publishes and Citation contexts, generate Impact Factor Rankings.
The Metrics ,[object Object],Rodriguez, M.A., “ Grammar-Based Random Walkers in Semantic Networks ”, [in review], 2007.
Conclusion ,[object Object],http://www.mesur.org

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A Model of the Scholarly Community

  • 1. A Model of the Scholarly Community Marko A. Rodriguez http://www.soe.ucsc.edu/~okram March 30, 2007
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14. The Model Rodriguez, M.A., Bollen, J., Van de Sompel, H., “ A Practical Ontology for the Large-Scale Modeling of Scholarly Artifacts and their Usage ”, IEEE/ACM Joint Conference on Digital Libraries, Vancouver, 2007.
  • 17. The Model SELECT ?x WHERE ( ?x rdf:type mesur:Publishes ) ( ?x mesur:hasAuthor lanl:marko ) ( ?x mesur:hasAuthor lanl:herbertv ) INSERT < _123 rdf:type mesur:Coauthor > INSERT < _123 mesur:hasSource lanl:marko > INSERT < _123 mesur:hasSink lanl:herbertv > INSERT < _123 mesur:hasWeight COUNT(?x) > INSERT < _456 rdf:type mesur:Coauthor > INSERT < _456 mesur:hasSource lanl:herbertv > INSERT < _456 mesur:hasSink lanl:marko > INSERT < _456 mesur:hasWeight COUNT(?x) > From the Publishes contexts, generate a weighted coauthorship network.
  • 18. The Model Phase 1 is looking just at group level usage and bibliographic data
  • 19.
  • 20. The Metrics SELECT ?x WHERE ( ?x rdf:type mesur:Publishes ) ( ?x mesur:hasUnit ?a ) ( ?x mesur:hasGroup ?b ) ( ?b mesur:partOf urn:issn:1082-9873 ) ( ?x mesur:hasTime ?t ) AND (?t > 2004 AND ?t < 2007) ( ?y rdf:type mesur:Citation ) ( ?y mesur:hasSource ?c ) ( ?y mesur:hasSink ?a ) ( ?z rdf:type mesur:Publishes ) ( ?z mesur:hasUnit ?c ) ( ?z mesur:hasTime ?u) AND ?u = 2007 SELECT ?y WHERE ( ?y rdf:type mesur:Publishes ) ( ?y mesur:hasGroup ?a ) ( ?a mesur:partOf urn:issn:1082-9873 ) ( ?y mesur:hasTime ?t ) AND (?t > 2004 AND ?t < 2007) INSERT < _123 rdf:type mesur:ImpactFactor > INSERT < _123 mesur:hasObject urn:issn:1082-9873 > INSERT < _123 mesur:hasStartTime 2007 > INSERT < _123 mesur:hasEndTime 2007 > INSERT < _123 mesur:hasNumbericValue (COUNT(?x) / COUNT(?y)) > From the Publishes and Citation contexts, generate Impact Factor Rankings.
  • 21.
  • 22.