MindMap

Utilizing multiple taxonomies and visualization to understand a document collection

S. Spangler, J. T. Kreulen, Justin T Lessler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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. 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.

Original languageEnglish (US)
Title of host publicationProceedings of the Annual Hawaii International Conference on System Sciences
PublisherIEEE Computer Society
Pages1170-1179
Number of pages10
Volume2002-January
ISBN (Print)0769514359
DOIs
StatePublished - 2002
Externally publishedYes
Event35th Annual Hawaii International Conference on System Sciences, HICSS 2002 - Big Island, United States
Duration: Jan 7 2002Jan 10 2002

Other

Other35th Annual Hawaii International Conference on System Sciences, HICSS 2002
CountryUnited States
CityBig Island
Period1/7/021/10/02

Fingerprint

Binary trees
Taxonomies
Visualization
Refining
Chemical analysis

Keywords

  • Binary trees
  • Brain modeling
  • Internet
  • Keyword search
  • Navigation
  • Scalability
  • Search engines
  • Space exploration
  • Taxonomy
  • Visualization

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Spangler, S., Kreulen, J. T., & Lessler, J. T. (2002). MindMap: Utilizing multiple taxonomies and visualization to understand a document collection. In Proceedings of the Annual Hawaii International Conference on System Sciences (Vol. 2002-January, pp. 1170-1179). [994039] IEEE Computer Society. https://doi.org/10.1109/HICSS.2002.994039

MindMap : Utilizing multiple taxonomies and visualization to understand a document collection. / Spangler, S.; Kreulen, J. T.; Lessler, Justin T.

Proceedings of the Annual Hawaii International Conference on System Sciences. Vol. 2002-January IEEE Computer Society, 2002. p. 1170-1179 994039.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Spangler, S, Kreulen, JT & Lessler, JT 2002, MindMap: Utilizing multiple taxonomies and visualization to understand a document collection. in Proceedings of the Annual Hawaii International Conference on System Sciences. vol. 2002-January, 994039, IEEE Computer Society, pp. 1170-1179, 35th Annual Hawaii International Conference on System Sciences, HICSS 2002, Big Island, United States, 1/7/02. https://doi.org/10.1109/HICSS.2002.994039
Spangler S, Kreulen JT, Lessler JT. MindMap: Utilizing multiple taxonomies and visualization to understand a document collection. In Proceedings of the Annual Hawaii International Conference on System Sciences. Vol. 2002-January. IEEE Computer Society. 2002. p. 1170-1179. 994039 https://doi.org/10.1109/HICSS.2002.994039
Spangler, S. ; Kreulen, J. T. ; Lessler, Justin T. / MindMap : Utilizing multiple taxonomies and visualization to understand a document collection. Proceedings of the Annual Hawaii International Conference on System Sciences. Vol. 2002-January IEEE Computer Society, 2002. pp. 1170-1179
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