Visualising search results and document collections using topic maps

Newman, D, Baldwin, T, Cavedon, L, Huang, E, Karimi, S, Martinez, D, Scholer, F and Zobel, J 2010, 'Visualising search results and document collections using topic maps', Journal of Web Semantics, vol. 8, no. 2, pp. 169-175.


Document type: Journal Article
Collection: Journal Articles

Title Visualising search results and document collections using topic maps
Author(s) Newman, D
Baldwin, T
Cavedon, L
Huang, E
Karimi, S
Martinez, D
Scholer, F
Zobel, J
Year 2010
Journal name Journal of Web Semantics
Volume number 8
Issue number 2
Start page 169
End page 175
Total pages 7
Publisher Elsevier
Abstract This paper explores visualizations of document collections, which we call topic maps. Our topic maps are based on a topic model of the document collection, where the topic model is used to determine the semantic content of each document. Using two collections of search results, we show how topic maps reveal the semantic structure of a collection and visually communicate the diversity of content in the collection. We describe techniques for assessing the validity and accuracy of topic maps, and discuss the challenge of producing useful two-dimensional maps of documents.
Subject Information Retrieval and Web Search
Keyword(s) Topic modelling
Visualizing document collections
Clustering
Dimensionality reduction
DOI - identifier 10.1016/j.websem.2010.03.005
Copyright notice © 2010 Elsevier B.V. All rights reserved
ISSN 1570-8268
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