Supporting Search Result Browsing and Exploration via Cluster-Based Views and Zoom-Based Navigation
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
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In order to address issues such as information overload and the navigation problem, which plague users on the Web, we need to improve user support for query construction, modification, result browsing and information exploration. The Semantic Web aimed to address many of these issues by providing machine processable information and application interoperability, but as of today failed to reach widespread acceptance. We build upon our previous work with Semantic Web exploration and propose a browsing solution which allows users to browse both legacy and semantic web information transparently while taking advantage of advanced exploration features provided by our personalized faceted semantic browser. In this paper, we describe our approach to integrating legacy web content into our semantic browser via web crawling and page annotation, and orientation and revisitation support including tree-based history visualization and incremental graph-based result exploration.