Metadata visualization of scholarly search results

Abstract

Studies of online search behaviour have found that searchers often face difficulties formulating queries and exploring the search results sets. These shortcomings may be especially problematic in digital libraries since library searchers employ a wide variety of information-seeking methods (with varying degrees of support ), and the corpus to be searched is often more complex than simple textual information. To address these problems, an interactive Web-based library search interface is present ed, which has been designed to support strategic retrieval behaviour of library searchers. T his system takes advantage of the rich metadata associated with academic documents and employs information visualization techniques to provide searchers with additional information-seeking tools. These tools are designed to facil itat e visual and interactive query refinement, search results exploration, and citation navigation. User evaluations illustrate the potential benefits of the design choices in comparison to a list-based digital library search interface. Acknowledgeme ntsFirstly, I would like t o sincerely t hank my supervisor , Dr. Orland Roeb er , for the support and guidance he offered me t hroughout my master 's program . This research would not have been possible without his insight ful advice and patient encouragement.

Evaluating citation visualization and exploration methods for supporting academic search tasks

“…Bow Tie Academic Search (Khazaei and Hoeber, 2012) is a meta-search engine that uses the underlying academic document collection and search functions provided by the Microsoft Academic Search (MAS) API (http://academic.research.microsoft.com/). The search results sets returned by MAS include metadata associated with each document, including title, authors, backward citations, forward citations, publication year, URL, the first 60 words of the abstract and the author-supplied keywords.…”

“…Our work in the design and development of Bow Tie Academic Search (Khazaei and Hoeber, 2012) focused on providing interactive visual representations to support exploration among citation and keyword information. Visual encodings of citation metadata are added to the search results list, allowing searchers to visually scan, evaluate and compare search result items based on their citation characteristics.…”

A Flexible System for a Comprehensive Analysis of Bibliographical Data

“…In (Falagas and et al, 2008) and (Jacso, 2005) comparisons between four popular online bibliographical databases has been done using specific keyword searches and analyzing the utility of the retrieved information. The problem of search engines returning lists of results which needs additional man-ual mining is also addressed with an enriching approach in (Khazaei, 2012). All these approaches, however, solve particular search problems only.…”