Michal Tvaroek, Michal Barla, Gyrgy Frivolt, Marek Toma, Mria Bielikov

1
Improving Semantic Search via Integrated
Personalized Faceted and Visual Graph Navigation

• Michal Tvaroek, Michal Barla,György Frivolt,
  Marek Toma, Mária Bieliková

• Tvarozek,barla,frivolt,tomsa,bielik at
  fiit.stuba.sk
• Institute of Informatics and Software Engineering
• Faculty of Informatics and Information
  Technologies
• Slovak University of Technology in Bratislava

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Motivation

• Semantic Web applications
• Search and navigation related issues
• Difficult construction of queries and ambiguity
• Open ended and exploratory tasks
• Complex and hard to use search interfaces
• Insufficiency of classical faceted browsers
• Suitability of visual approaches

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Personalized faceted and visual browsing
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Example Faceted browser
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Faceted browsing challenges

• Managing information overload
• Too many facets (complex information spaces)
• Too many restrictions (large information spaces)
• Still too many search results
• Hard to understand instance details
• Advanced exploratory tasks

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Faceted browser enhancements
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Facet adaptation, annotation, recommendation
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Faceted browser enhancements
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Example Visual navigation
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Navigating search results

• Hierarchical clusters
• Cluster size annotation
• Similarity annotation

• Annotations
• Property summarization
• Most frequent properties

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Navigating instance neighborhoods
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Navigating instance properties
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Relevance and user models

• Automatic acquisition from user behavior
• User characteristics (long-term and short-term)
• In-session behavior
• Global trends and popularity
• Similar users and social relations

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Conclusions (1)

• Evaluation with multiple domain ontologies
• Scientific publications (mapekus.fiit.stuba.sk)
• Digital photographs
• Prototype implementation
• Factic ClusterNavigator/Clusterer
• Java, Sesame, OWL Prefuse, MySQL

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Conclusions (2)

• Integrated faceted and visual navigation
• Personalization improves user experience
• Future work
• Handling multiple/multi-domain ontologies
• Leveraging social networks for clustering,
  navigation and visualization

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mapekus.fiit.stuba.sk