Supporting Search Result Browsing and Exploration via Cluster-Based Views and Zoom-Based Navigation

  • Authors:
  • Karol Rástočný;Michal Tvarožek;Mária Bieliková

  • Affiliations:
  • -;-;-

  • Venue:
  • WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
  • Year:
  • 2011
  • Ontology Based Scope Visualisation

    WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03

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Abstract

The difficulty of finding relevant information in the Web is increasing as web repositories grow in size. We propose a novel approach for navigation in the Semantic Web, which helps users find relevant information and enables them to browse similar and/or related resources. We achieve this via view-based search using navigation in a two-dimensional graph, which has the advantage of visualizing dependencies between results. We address problems with readability and understandability via adaptive views, result clustering, facet marking, next action recommendation and zoom-based navigation.