Skip to search formSkip to main contentSkip to account menu

Automatic Keyword Extraction from Individual Documents

Keywords, which we define as a sequence of one or more words, provide a compact representation of a document’s content. Ideally, keywords represent in condensed form the essential content of a…
View via Publisher (opens in a new tab)

IN-SPIRE InfoVis 2004 Contest Entry

The paper introduces the visualization tool IN-SPIRE, the visualization process and results, and presents lessons learned as part of a three-part contest entry to IEEE InfoVis 2004.
View on IEEE (opens in a new tab)

Familiarity Vs Trust: A Comparative Study of Domain Scientists' Trust in Visual Analytics and Conventional Analysis Methods

It is found that despite being unfamiliar with a visual analytic medium, scientists seem to have an average level of trust that is comparable with the same in conventional analysis medium, and for complex sense-making tasks, the visual analytic system is able to inspire greater trust than other mediums.
View on IEEE (opens in a new tab)

Enabling massive scale document transformation for the semantic web: the universal parsing agent™

The Universal Parsing Agent (UPA) is a document analysis and transformation program that supports massive scale conversion of information into forms suitable for the semantic web. UPA provides…
View on ACM (opens in a new tab)

Mixed-initiative visual analytics using task-driven recommendations

This paper presents candidate design guidelines and introduces the Active Data Environment (ADE) prototype, a spatial workspace supporting the analytic process via task recommendations invoked by inferences about user interactions within the workspace, enabling users to co-reason with the system about their data in a single, spatial workspace.
View on IEEE (opens in a new tab)

Typograph: Multiscale spatial exploration of text documents

The design principles and functionality of Typograph are discussed, and a use case analyzing Wikipedia to demonstrate usage is presented and the information is placed based on their relative similarity to other information to create the “near = similar” geographic metaphor.
View on IEEE (opens in a new tab)

TexTonic: Interactive visualization for exploration and discovery of very large text collections

TexTonic’s data processing and analytic pipeline, user interface and interaction design principles, and results of a user study conducted mid-development with experienced data analysts are described.
View on SAGE (opens in a new tab)

1 Automatic keyword extraction from individual documents

Keywords, which we define as a sequence of one or more words, provide a compact representation of a document’s content. Ideally, keywords represent in condensed form the essential content of a…

WebTheme™: Understanding Web Information through Visual Analytics

WebTheme combines the power of software agent-based information retrieval with visual analytics to provide users with a new tool for understanding web information and supports enhanced user insight into semantics of large, prestructured or ad-hoc, web information collections.
View via Publisher (opens in a new tab)

An efficient, scalable content-based messaging system

This paper describes the design of the CBM engine, and presents empirical results that compare the performance with a standard JMS to demonstrate the performance improvements that are achieved.
View on IEEE (opens in a new tab)
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)