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Evaluating Interaction Patterns for Linked Data

Evaluating Interaction Patterns for Linked Data. Rosa Gil, Antonio López-Muzás, Josep Maria Brunetti, Juan Manuel Gimeno, Roberto García. HCI & Data Integration Research Group Universitat de Lleida, Spain. Introduction.

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Evaluating Interaction Patterns for Linked Data

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  1. Evaluating Interaction Patterns for Linked Data Rosa Gil, Antonio López-Muzás, Josep Maria Brunetti, Juan Manuel Gimeno, Roberto García HCI & Data Integration Research Group Universitat de Lleida, Spain

  2. Introduction • Proposal: adapt data interaction patterns [Shneiderman] and Information Architecture components [Morville] • Data structure (ontologies): automate IA components • Rhizomer: Interaction Patterns  IA Components • Overview navigation bars • Main classes (topics) and their organisation • Zoom & Filter  facets • Main properties and values, filter • Usability evaluation with end-users • Compare IMDb vs. Rhizomer on LinkedMDB • Can the LinkedData version improve user experience?

  3. User Task:“Find three films where Woody Allen is director and also actor”.

  4. Look & Match

  5. Conclusions • Only one completed task in IMDb without help… and no one with Rhizomer • 83% completed the task faster with Rhizomer • Really, just 1 issue with Rhizomer: • users started from “actor” instead than from “film” • User interaction is currently too constrained underlying data structured • Explore alternatives: inverse property facets, facets for facet values, breadcrumbs…

  6. Thank you for your attention More details: http://rhizomik.net/rhizomer Contact: Roberto Garcia (roberto@rhizomik.net) HCI & Data Integration Research Group Universitat de Lleida, Spain

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