Semantic Journal Mapping for Search Visualization in a Large Scale Article Digital Library
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Date
2009Author
Newton, Glen
Callahan, Alison
Dumontier, Michel
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In this paper we examine the scalability and utility of se-
mantically mapping (visualizing) journals in a large scale (5.7+ million)
science, technology and medical article digital library. This work is part
of a larger research effort to evaluate semantic journal and article map-
ping for search query results refinement and visual contextualization in
a large scale digital library. In this work the Semantic Vectors software
package is parallelized and evaluated to create semantic distances be-
tween 2365 journals, from the sum of their full-text. This is used to
create a journal semantic map whose production does scale and whose
results are comparable to other maps of the scientific literature.