Visualization of multi-domain ranked data

Alessandro Bozzon*, Marco Brambilla, Tiziana Catarci, Stefano Ceri, Piero Fraternali, Maristella Matera

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

9 Citations (Scopus)


This chapter focuses on the visualization of multi-domain search results. We start by positioning the problem in the recent line of evolution of search engine interfaces, which more and more are capable of mining semantic concepts and associations from text data and presenting them in sophisticated ways that depend on the type of the extracted data. The approach to visualization proposed in search computing extends current practices in several ways: the data to visualize are N-dimensional combinations of objects, with ranking criteria associated both to individual objects and to sets of combinations; object's properties can be classified in several types, for which optimized visualization families are preferred (e.g., timelines for temporal data, maps for geo-located information); combinations may exhibit any number of relevant properties to be displayed, which need to fit to the bi-dimensional presentation space, by emphasizing the most important attributes and de-emphasizing or hiding the less important ones. The visualization problem therefore amounts to deciding the best mapping between the data of the result set and the visualization space.
Original languageEnglish
Title of host publicationSearch Computing - Trends and Developments
Place of PublicationBerlin
Number of pages17
Volume6585 LNCS
ISBN (Electronic)978-3-642-19668-3
ISBN (Print)9783642196676
Publication statusPublished - 2011
Externally publishedYes
EventWorkshop on Search Computing - Trends and Developments, SeCo 2010 - Como, Milan, Italy
Duration: 25 May 201031 May 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6585 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceWorkshop on Search Computing - Trends and Developments, SeCo 2010
CityComo, Milan


  • Data Visualization
  • Information Visualization
  • Object Instance
  • Global Ranking
  • Visualization Process


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