A Visual Workflow to Explore the Web of Data for Scholars

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As the Web evolves in an integrated and interlinked knowledge space thanks to the growing amount of published Linked Open Data, the need to nd solutions that enable the scholars to discover, explore and analyse the underlying research data emerges. Scholars, typically non-expert technology users, lack of in-depth understanding of the underlying semantic technology which limits their ability to interpret and
query the data. We present a visual work how to connect scholars and scientific c resources on the Web of Data. We allow scholars to move from exploratory analysis in academic social networks to exposing relations between these resources. We allow them to reveal experts in a particular fi eld and discover relations in and beyond their research communities. This paper aims to evaluate the potential of
such a visual work ow to be used by non-expert users to interact with the semantically enriched data and familiarize with the underlying dataset.

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A Visual Workflow to Explore the Web of Data for Scholars

  1. 1. A Visual Workflow to Explore the Web of Data for Scholars Anastasia Dimou, Laurens De Vocht, Mathias Van Compernolle, Erik Mannens, Peter Mechant and Rik Van de Walle Ghent University – iMinds – Multimedia Big Scholar 2014, WWW14 Seoul, Korea, 8th April 2014 ResXplorer.org ewi.mmlab.be/academic
  2. 2. Exploring the Web of Scholars with Linked Data Demand discover, explore and analyze the research data reuse and exchange resources
  3. 3. Exploring the Web of Scholars with Linked Data Demand discover, explore and analyze the research data reuse and exchange resources Linked Open Data
  4. 4. Exploring the Web of Scholars with Linked Data Advantage a substantial role in the context of digital libraries and archives ideal to reveal links between resources
  5. 5. Exploring the Web of Scholars with Linked Data Disadvantage lack of understanding of the semantic technology limits scholars to optimally interpret and query the Web of Scholars
  6. 6. Visual representations for Linked Open Data to observe multiple aspects of the data while controlling and coordinating its views to additionally reveal the links between the data
  7. 7. Visual workflow for Linked Open Data Visual workflow  dynamic Visual representation  static
  8. 8. A visual workflow for resources represented as Linked Open Data for exploitation, discovery and analysis of the Web of Data for scholars using information exploration techniques
  9. 9. Visual Workflow
  10. 10. Visual Workflow
  11. 11. Information Exploration: Exploratory Data Analysis The scholar gets familiar with the dataset no explicit assumption regarding the dataset the dataset itself reveals its underlying model and the relationships between its resources
  12. 12. ewi.mmlab.be/academic
  13. 13. Visual Workflow
  14. 14. Coordinated view Most detailed resources cannot be further decomposed a certain resource or the links between two resources Coordinates the narrowing and the broadening view
  15. 15. ResXplorer.org ewi.mmlab.be/academic
  16. 16. Visual Workflow
  17. 17. Information Exploration: Exploratory Search The scholar is familiar with the dataset Scholars explore the dataset on their own find novel relations between resources Views are not limited to the data of the dataset but relevant links to resources of other datasets are also revealed and visualized
  18. 18. ResXplorer.org
  19. 19. Evaluation of the Visual Workflow
  20. 20. Evaluation Demo of the workflow for the evaluation LOD Visualization Suite (LOD/VizSuite) implements the narrowing view ResXplorer implements the broadening view ResXplorer.org ewi.mmlab.be/academic
  21. 21. Survey Results: Explorability
  22. 22. Survey Results: Complexity
  23. 23. User test results: Narrowing View
  24. 24. User test results: Broadening View
  25. 25. Conclusions Novel visual workflow for exploring resources in the Web of Data User interfaces based on graph visualizations offer unique, multifaceted experience when combined with techniques for information exploration and enhanced with optimized search in Linked Data. enables scholars to view and navigate through combined aspects of research data to come up spontaneously with observations whose reasoning can be directly investigated
  26. 26. A Visual Workflow to Explore the Web of Data for Scholars ResXplorer.org: http://resxplorer.org LOD/VizSuite: http://ewi.mmlab.be/academic Contact us Anastasia Dimou anastasia.dimou@ugent.be @natadimou Laurens de Vocht laurens.devocht@ugent.be @laurens_d_v

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