mindmaps for taxonomies

mindmaps for taxonomies - Proceedings of the 35th Hawaii...

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MindMap: Utilizing Multiple Taxonomies and Visualization to Understand a Document Collection Scott Spangler IBM Almaden Research [email protected] Jeffrey T. Kreulen IBM Almaden Research [email protected] Justin Lessler IBM Almaden Research [email protected] Abstract We present a novel system and methodology for browsing and exploring topics and concepts within a document collection. The process begins with the generation of multiple taxonomies from the document collections, each having a unique theme. These taxonomies then become an integral tool in the exploration of the document collection. It is assumed that the user of our system may have only a vague notion of exactly what they are attempting to understand, and would like to explore related topics and concepts rather than simply being given a set of documents. For this purpose, we have developed the MindMap interface to the document collection. Starting from an initial keyword query, the MindMap interface helps the user to explore the concept space by first presenting the user with related terms and high level topics in a radial graph. After refining the query by selecting any related terms, one of the related high level concepts can be selected for further investigation. The MindMap uses a novel binary tree interface to explore the composition of a concept based on the presence or absence of terms. From the binary tree a concept can be further explored and visualized. Individual documents are presented as spatial coordinates where distance between points relates to document similarity. As the user browses this spatial representation, text is presented from the document that is most relevant to the user’s initial query. Individual points can be selected to pull up the relevant paragraphs from the document with the keywords highlighted. Finally, selected documents are displayed and the user is allowed to further interact and investigate. 1. Introduction The need for individuals and corporations to make informed decisions based on awareness in the face of the ever-increasing amount of information makes the need for tools and techniques to explore and understand this information paramount. Currently, the most popular methods are a combination of Boolean keyword searching and the use of a single taxonomy, which are best represented by the Internet search engines Yahoo! and Google. These techniques still fall short in the face of the many ambiguities and complex relationships that are contained in the documents. To address these deficiencies, we present a novel system and methodology for browsing and exploring topics and concepts within a document collection. Our system leverages multiple taxonomies, related terms, visualization and user interaction to navigate and explore a document collection and the concepts that it contains. We call our system MindMap, because we have modeled our interface on techniques used for brainstorming. The techniques developed have been found to be
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This note was uploaded on 02/13/2012 for the course CS 91.510 taught by Professor Staff during the Fall '09 term at UMass Lowell.

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mindmaps for taxonomies - Proceedings of the 35th Hawaii...

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