Interactive visualization for opportunistic exploration of large document collections

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Interactive visualization for opportunistic exploration of large document collections
Authors: Simon Lehmann, Ulrich Schwanecke, Ralf Dörner [edit item]
Citation: Information Systems 35 (2): 260-269. 2010.
Publication type: Journal article
Peer-reviewed: Yes
Database(s):
DOI: 10.1016/j.is.2009.10.004.
Google Scholar cites: Citations
Link(s): Paper link
Added by Wikilit team: Added on initial load
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Interactive visualization for opportunistic exploration of large document collections is a publication by Simon Lehmann, Ulrich Schwanecke, Ralf Dörner.


[edit] Abstract

Finding relevant information in a large and comprehensive collection of cross-referenced documents like Wikipedia usually requires a quite accurate idea where to look for the pieces of data being sought. A user might not yet have enough domain-specific knowledge to form a precise search query to get the desired result on the first try. Another problem arises from the usually highly cross-referenced structure of such document collections. When researching a subject, users usually follow some references to get additional information not covered by a single document. With each document, more opportunities to navigate are added and the structure and relations of the visited documents gets harder to understand. This paper describes the interactive visualization Wivi which enables users to intuitively navigate Wikipedia by visualizing the structure of visited articles and emphasizing relevant other topics. Combining this visualization with a view of the current article results in a custom browser specially adapted for exploring large information networks. By visualizing the potential paths that could be taken, users are invited to read up on subjects relevant to the current point of focus and thus opportunistically finding relevant information. Results from a user study indicate that this visual navigation can be easily used and understood. A majority of the participants of the study stated that this method of exploration supports them finding information in Wikipedia.

[edit] Research questions

"This paper describes the interactive visualization Wivi which enables users to intuitively navigate Wikipedia by visualizing the structure of visited articles and emphasizing relevant other topics. Combining this visualization with a view of the current article results in a custom browser specially adapted for exploring large information networks. By visualizing the potential paths that could be taken, users are invited to read up on subjects relevant to the current point of focus and thus opportunistically finding relevant information. Results from a user study indicate that this visual navigation can be easily used and understood. A majority of the participants of the study stated that this method of exploration supports them finding information in Wikipedia."

Research details

Topics: Ontology building [edit item]
Domains: Computer science [edit item]
Theory type: Design and action [edit item]
Wikipedia coverage: Sample data [edit item]
Theories: "Undetermined" [edit item]
Research design: Design science, Experiment, Statistical analysis [edit item]
Data source: Experiment responses [edit item]
Collected data time dimension: Cross-sectional [edit item]
Unit of analysis: N/A [edit item]
Wikipedia data extraction: Dump [edit item]
Wikipedia page type: N/A [edit item]
Wikipedia language: Not specified [edit item]

[edit] Conclusion

"Our approach combines both a visualization of visited articles and articles that could be immediately reached from all visited articles. It also calculates a degree of interest of the unvisited articles based on the structure and history of the article graph. With Wivi2 we created a browser for the Wikipedia or other wikis, which implements the visualization of already visited articles in a hierarchical tree layout and shows the related unvisited articles weighted by their degree of interest on circles around the visited articles. As the result of a user test shows, this approach is generally accepted and positively perceived as a viable interface to browse and search the Wikipedia. Especially the visualization of the visited part was well received, but also our concept of weighting and displaying the unvisited articles to enable opportunistic exploration appears to be promising."

[edit] Comments


Further notes[edit]

Facts about "Interactive visualization for opportunistic exploration of large document collections"RDF feed
AbstractFinding relevant information in a large anFinding relevant information in a large and comprehensive collection of cross-referenced documents like Wikipedia usually requires a quite accurate idea where to look for the pieces of data being sought. A user might not yet have enough domain-specific knowledge to form a precise search query to get the desired result on the first try. Another problem arises from the usually highly cross-referenced structure of such document collections. When researching a subject, users usually follow some references to get additional information not covered by a single document. With each document, more opportunities to navigate are added and the structure and relations of the visited documents gets harder to understand. This paper describes the interactive visualization Wivi which enables users to intuitively navigate Wikipedia by visualizing the structure of visited articles and emphasizing relevant other topics. Combining this visualization with a view of the current article results in a custom browser specially adapted for exploring large information networks. By visualizing the potential paths that could be taken, users are invited to read up on subjects relevant to the current point of focus and thus opportunistically finding relevant information. Results from a user study indicate that this visual navigation can be easily used and understood. A majority of the participants of the study stated that this method of exploration supports them finding information in Wikipedia.rts them finding information in Wikipedia.
Added by wikilit teamAdded on initial load +
Collected data time dimensionCross-sectional +
ConclusionOur approach combines both a visualizationOur approach combines both a visualization of visited articles and articles that could be immediately reached from all visited articles. It also calculates a degree of interest of the unvisited articles based on the structure and history of the article graph. With Wivi2 we created a browser for the Wikipedia or other wikis, which implements the visualization of already visited articles in a hierarchical tree layout and shows the related unvisited articles weighted by their degree of interest on circles around the visited articles. As the result of a user test shows, this approach is generally accepted and positively perceived as a viable interface to browse and search the Wikipedia. Especially the visualization of the visited part was well received, but also our concept of weighting and displaying the unvisited articles to enable opportunistic exploration appears to be promising.istic exploration appears to be promising.
Data sourceExperiment responses +
Doi10.1016/j.is.2009.10.004 +
Google scholar urlhttp://scholar.google.com/scholar?ie=UTF-8&q=%22Interactive%2Bvisualization%2Bfor%2Bopportunistic%2Bexploration%2Bof%2Blarge%2Bdocument%2Bcollections%22 +
Has authorSimon Lehmann +, Ulrich Schwanecke + and Ralf Dörner +
Has domainComputer science +
Has topicOntology building +
Issue2 +
Pages260-269 +
Peer reviewedYes +
Publication typeJournal article +
Published inInformation Systems +
Research designDesign science +, Experiment + and Statistical analysis +
Research questionsThis paper describes the interactive visuaThis paper describes the interactive visualization Wivi which enables users to intuitively navigate Wikipedia by visualizing the structure of visited articles and emphasizing relevant other topics. Combining this visualization with a view of the current article results in a custom browser specially adapted for exploring large information networks. By visualizing the potential paths that could be taken, users are invited to read up on subjects relevant to the current point of focus and thus opportunistically finding relevant information. Results from a user study indicate that this visual navigation can be easily used and understood. A majority of the participants of the study stated that this method of exploration supports them finding information in Wikipedia.rts them finding information in Wikipedia.
Revid10,831 +
TheoriesUndetermined
Theory typeDesign and action +
TitleInteractive visualization for opportunistic exploration of large document collections
Unit of analysisN/A +
Urlhttp://dx.doi.org/10.1016/j.is.2009.10.004 +
Volume35 +
Wikipedia coverageSample data +
Wikipedia data extractionDump +
Wikipedia languageNot specified +
Wikipedia page typeN/A +
Year2010 +