Location

Science Center Auditorium, University of Dayton

Start Date

22-4-2016 5:35 PM

Description

Previous studies that present information archived in digital libraries have used either document meta-data or document content. The current search mechanisms commonly return text-based results that were compiled from the meta-data without reflecting the underlying content. Visual analytics is a possible solution for improving searches by presenting a large amount of information, including document content alongside meta-data, in a limited screen space. This paper introduces a multi-tiered visual interface for searching research articles stored in Digital Library systems. The goals of this system are to allow users to find research papers about their interests in a large work space, to see how document content relates to a search terms, and to refine their search queries using document content. The current, under development pilot system successfully presents graphical illustrations of search results produced from both meta-data and underlying content in an intuitive visual interface that will assist user’s search activities. With minor modification, the proposed system can be applied to a variety of other text-based data repositories.

Comments

Copyright © 2016 by the authors. This paper was presented at the 2016 Modern Artificial Intelligence and Cognitive Science Conference, held at the University of Dayton April 22-23, 2016. Permission documentation is on file.

 
Apr 22nd, 5:35 PM

Exploring Web-based Visual Interfaces for Searching Research Articles on Digital Library Systems

Science Center Auditorium, University of Dayton

Previous studies that present information archived in digital libraries have used either document meta-data or document content. The current search mechanisms commonly return text-based results that were compiled from the meta-data without reflecting the underlying content. Visual analytics is a possible solution for improving searches by presenting a large amount of information, including document content alongside meta-data, in a limited screen space. This paper introduces a multi-tiered visual interface for searching research articles stored in Digital Library systems. The goals of this system are to allow users to find research papers about their interests in a large work space, to see how document content relates to a search terms, and to refine their search queries using document content. The current, under development pilot system successfully presents graphical illustrations of search results produced from both meta-data and underlying content in an intuitive visual interface that will assist user’s search activities. With minor modification, the proposed system can be applied to a variety of other text-based data repositories.