The semantic conference organizer

Kevin Heinrich, Michael W. Berry, Jack J. Dongarra, Sathish Vadhiyar

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Scopus citations

Abstract

The organization of a technical meeting, workshop, or conference involving submitted abstracts or full-text documents can be quite an onerous task. To gain a sense of what topic each submission addresses may require more than just a quick glimpse at the title or abstract. The use of automated indexing and text mining can revolutionize the manner and speed of information assessment and organization. In this work, we demonstrate the use of Latent Semantic Indexing (LSI) for probing and labeling conference abstracts using an intuitive Web interface and client-server internal software design using grid-based middleware such as NetSolve. Automated text parsing and keyword extraction is facilitated using the General Text Parser software (C++) developed in the UTK Department of Computer Science.

Original languageEnglish
Title of host publicationStatistical Data Mining and Knowledge Discovery
PublisherCRC Press
Pages571-581
Number of pages11
ISBN (Electronic)9780203497159
ISBN (Print)9781584883449
StatePublished - Jan 1 2003
Externally publishedYes

Fingerprint

Dive into the research topics of 'The semantic conference organizer'. Together they form a unique fingerprint.

Cite this