A Semantic-centric approach to information visualization

Chaomei Chen, Leslie Carr

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

5 Citations (Scopus)


A semantic-centric approach to information visualization is described in this paper. In contrast to the conventional document-centric approaches, the semantic-centric approach focuses on the intrinsic connectivity in an information space beyond the boundary of individual documents. The approach aims to visualize the profound interrelationships perceived by the scientific community through the literature. An application of this approach is demonstrated through an author co-citation analysis of the entire collection of the ACM Hypertext conference proceedings over the last decade. Sub-fields, or specialties, in the field of hypertext are visualized based on the results of a factor analysis of author co-citation patterns. Nine snapshots of annual author co-citation maps introduce a new way of knowledge discovering in an information space shaped by the contemporary literature.

Original languageEnglish
Title of host publicationProceedings - 1999 IEEE International Conference on Information Visualization
Subtitle of host publicationAn International Conference on Computer Visualization and Graphics, IV 1999
EditorsA. Ursyn, E. Banissi, M. Sarfraz, E. Tatham, F. Khosrowshahi
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)0769502105
Publication statusPublished - 1999
EventIEEE International Conference on Information Visualization, IV 1999 - London, United Kingdom
Duration: 1999 Jul 141999 Jul 16

Publication series

NameProceedings of the International Conference on Information Visualisation
ISSN (Print)1093-9547


OtherIEEE International Conference on Information Visualization, IV 1999
Country/TerritoryUnited Kingdom

Bibliographical note

Publisher Copyright:
© 1999 IEEE.

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition


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