DocumentCode
3022594
Title
A semantic-centric approach to information visualization
Author
Chen, Chaomei ; Carr, Leslie
Author_Institution
Dept. of Inf. Syst. & Comput., Brunel Univ., Uxbridge, UK
fYear
1999
fDate
1999
Firstpage
18
Lastpage
23
Abstract
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
Keywords
citation analysis; data mining; data visualisation; ACM Hypertext conference proceedings; annual author co-citation map snapshots; author co-citation analysis; factor analysis; hypertext; information space; interrelationship visualisation; intrinsic connectivity; knowledge discovery; scientific community; semantic-centric information visualization; specialties; sub-fields; Chaos; Citation analysis; Hip; Indexing; Information systems; Information technology; Intersymbol interference; Space technology; Visualization; Yarn;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Visualization, 1999. Proceedings. 1999 IEEE International Conference on
Conference_Location
London
ISSN
1093-9547
Print_ISBN
0-7695-0210-5
Type
conf
DOI
10.1109/IV.1999.781529
Filename
781529
Link To Document