Visualizing Digital Collections at Archive-It

<p>Archive-It, a subscription service from the Internet Archive, allows users to create,maintain, and view digital collections of web resources. The current interface of Archive-It is largely text-based, supporting drill-down navigation using lists of URIs.While this interface provides good searching capabilities, it is not efficient for browsing. In the absence of keywords, a user has to spend large amount of time trying to locate a web page of interest. In order to provide a better visual experience to the user, we have studied the underlying characteristics of Archive-It collections and implemented six different visualizations (treemap, time cloud, bubble chart, image plot, timeline and wordle), each highlighting one or more of the underlying characteristics of the collection. Archive-It supports grouping of web pages into categories, however, it does not enforce its usage. As a result there are many collections with missing or improper grouping. For such collections, we present a method of grouping web pages based on a set of pre-defined rules.</p>

Name thesis:degree_name

Master of Science (MS)

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Computer Science

Year dc:date.available

2012

Author dc:creator

• Padia, Kalpesh

Contributors dc:contributor

• Michele C. Weigle
• Michael L. Nelson
• Ravi Mukkamala

• Archive-It
• Internet Archive
• Web archives
• Web sites
• Computer Sciences
• Digital Communications and Networking

Statement dc:rights

• <p>In Copyright. URI: <a href="http://rightsstatements.org/vocab/InC/1.0/">http://rightsstatements.org/vocab/InC/1.0/</a> This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).</p>

Repository record dc:identifier

https://digitalcommons.odu.edu/computerscience_etds/4

OAI identifier oai:identifier

oai:digitalcommons.odu.edu:computerscience_etds-1008