Visualising semantic spaces and author co-citation networks in digital libraries

Chaomei Chen

Research output: Contribution to journalArticlepeer-review

162 Citations (Scopus)

Abstract

This paper describes the development and application of visualisation techniques for users to access and explore information in a digital library effectively and intuitively. Salient semantic structures and citation patterns are extracted from several collections of documents, including the ACM SIGCHI Conference Proceedings (1995-1997) and ACM Hypertext Conference Proceedings (1987-1998), using Latent Semantic Indexing and Pathfinder Network Scaling. The unique spatial metaphor leads to a natural combination of search and navigation within the same semantic space in a 3-dimensional virtual world. Author co-citation patterns are visualised through a number of author co-citation maps in attempts to reveal the structure of the hypertext, including an overall co-citation map of 367 authors and three periodical maps. These maps highlight predominant research areas in the field. This approach provides a means for transcending the boundaries of collections of documents and visualising more profound patterns in terms of semantic structures and co-citation networks.

Original languageEnglish
Pages (from-to)401-420
Number of pages20
JournalInformation Processing and Management
Volume35
Issue number3
DOIs
Publication statusPublished - 1999 May

Bibliographical note

Funding Information:
This work was supported in part by the British Engineering and Physical Sciences Research Council (EPSRC) under the Multimedia and Networking Applications Programme (Research Grant No. GR/L61088). Bell Communication Research kindly provided the software for Latent Semantic Indexing. Special thanks go to Les Carr at the University of Southampton for generating author co-citation data, and Janet Cole at Brunel University for her assistance in preparing the ACM Hypertext collection. The author would like to thank Edward Fox, Gary Marchionini, and reviewers for their helpful comments and suggestions.

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Media Technology
  • Computer Science Applications
  • Management Science and Operations Research
  • Library and Information Sciences

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