Developing a Web-based RDF Visualisation Framework and Instantiating it as a Publication Visualisation Service


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Presentation of the project status of eViss being part of the eScience network

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Developing a Web-based RDF Visualisation Framework and Instantiating it as a Publication Visualisation Service

  1. 1. Developing a Web-based RDF VisualisationFramework and Instantiating it as a PublicationVisualisation ServiceAufbau eines webbasierten RDF-Visualisierungsframeworksund Instanziierung als sächsischer Publikations-VisualisierungsdienstJan Polowinski, June 11th 2013jan dot polowinski at gmail dot comHTWK Leipzig / IMN
  2. 2. 2/26Outline• Motivation• Summary of the project context• Current status of the project• Next steps
  3. 3. 3/26(Assumed) Problems in Literature Search• Information Overflow in the field of publications• Relevant Papers can be overlooked• Hard to judge: When to stop?
  4. 4. VISUALISATION4/26
  5. 5. 5/26HypothesisToday‘s visualisation tools are not actually used byresearchers in their daily literature search, becausethey suffer from the following technical/politicalproblems:
  6. 6. Problems6/26„Silos“ of data:Lack of linked open bibliographic data servicesNot all visual means exploitedCitationgraphs are rarely availableand not typed
  7. 7. General Goal: Improve and Speed up ScientificResearch by VisualisationLiterature searchers can• Overview new fields• Identify „best“ documents• Understand document contextLibrarians, writers of project proposals can• Classify new documents• Spot neglected research areas7/26
  8. 8. Web-basedVisualisationFrameworkforeScienceInstantiateProject Context –PHD Project by Jan Polowinski on Ontology-DrivenGuided Visualisation for RDS/OWL Data
  9. 9. IMPLEMENTATIONANALYSISCurrent Status of the Project• Instantiation of the approach as a web-based framework (eViss)9/26
  10. 10. IMPLEMENTATIONANALYSISCurrent Status of the Project• What data to visualise?• How to visualise effectively?• Preparing and executing a survey• Instantiation of the approach as a web-based framework (eViss)10/26Source:
  11. 11. Survey: How do Researchers at TU Dresden do(Electronic) Literature Search?• supported by• Sächsische Landesbibliothek – Staats- und Universitätsbibliothek Dresden (SLUB)• Institut für Kommunikationswissenschaften, TUD11/26
  12. 12. SurveyPreparation andExecution• 2 groups:• Students• Research Staff• -12/26
  13. 13. Experienceswith existingvisualisations• Are they used?• Are users satisfied?• -13/26
  14. 14. Context-Questions• Media Usage• Do researchersprefer electronicor print media forreading / takingnotes /reviewing?• ResearchExperience• -14/26
  15. 15. Survey – Results• Completed questionaires• 941 from 1254 (Students)• 279 from 338(Research Staff)• 477 additional (free text)comments Great interest• First results ...15/26
  16. 16. Students: Do you Know / Use CiteSpace(a complex visualization suite for citation data)16/263%>1 %I don‘t know itI know, it but I don‘t use itI use it
  17. 17. IMPLEMENTATIONANALYSISCurrent Status of the Project• What to visualise?• How to visualise effectively?• Preparing and executing the survey• Instantiation of the approach as a web-based framework (eViss)17/26
  18. 18. Implementing the eViss Framework for the eSciencePlatformBasis: OntoWiki• Web-based editor for RDF• Developed at Uni Leipzig (2006)+ Plugins• Guidance for effective visualisations• Generating visualisations (based on D3.js)• Supported by Student work of Pooran Patel18/26
  19. 19. 19/26• Manage and editvisualizationsettings
  20. 20. Plug-In: Guidance for Effective Visualisationsby Error Messages and Warnings20/26
  21. 21. Plug-In: Generating Graphics- Collapsible Tree21/26
  22. 22. Plug-In: Generating Graphics – Tree Map22/26
  23. 23. Plug-In: Generating Graphics– Simple Composition23/26• Lightness• Shape• Size
  24. 24. Summary and Conclusion• We instantiated a highly flexible visualisationapproach for the eScience platform as eViss• Use eViss for publication data• Linked Publication Data Sources are emergingright now but not yet fully usable• Survey is a contribution on ist own: Many insightson how literature search is done today24/26
  25. 25. IMPLEMENTATIONANALYSISNext Steps• What to visualise?• How to visualise effectively?• Preparing and executing the survey• Completing the survey evaluation• Drawing conclusion for the choice ofgraphics• Instantiation of the approach as a web-based framework (eViss)• Setting up the Framework for publicationdata• Preparation of suitable graphicrepresentations25/26
  26. 26. END/DISCUSSION jan.polowinski at tu-dresden.deBACKUP SLIDES 
  27. 27. Acknowledgements• This research has been co-funded by the European Social Fond / Free State of Saxony,contract no. 1330674013 (eScience – network).• Timeline of SW-events created by using the SIMILE Timeline: ; Dates: Wikipedia / official Websites• Screenshots of Tools:• CiteSpace: SLIDES 
  29. 29. 29/26Tablets/e-InkBibliographic-OntologiesCrowd-sourcingOpen Access+ EnhancedPublicationsLinked (Open)DataVisualisationSemVisPhD ProjectOntology drivenvisualisationLiterature-Recherche-ToolsPublicationVisualisationWeb-basedRDFVisualisation-framework(Internal)structureddataContext of the Project
  30. 30. What to Visualise?BASIC DATA• Bibliographic-Data Title Abstract Author ...• Simple Citation Relations• Derived: Co-Autor Co-CitationOPTIONAL• Financing (Potential influence)• Typed Citation Relations• summarizes• criticises• confirmes• disproves30/26somehow citeshas disproveddisproved by
  31. 31. How to visualise beyond node-link diagrams?sPublica onEPublica onFPublica onGPublica on BPublica onCPublica on AA builds on B …Publica on A(discusses B)Publica on BPublica on C(confirms A;cri ques B)can be seen as an areaconnector31/26Class Book ABook A
  32. 32. Evaluation• Test cases of literature-recherche• Two groups for comparison• e.g., Google Scholar vs. Visualisation32/26