Document Type
Presentation
Publication Date
4-2010
Abstract
The interaction paradigm offered by most contemporary Web Information Systems is a search-and-sift paradigm in which users manually seek information using hyperlinked documents. This paradigm is derived from a document-centric model that gives users minimal support for scanning through high volumes of text. We present a novel information exploration paradigm based on a data-centric view of corpora, along with a prototype implementation that demonstrates the value in content-driven navigation. We leverage semantic metadata to link data in documents by exploiting named relationships between entities. We also present utilities for gathering user generated navigation trails, critical for knowledge discovery. We discuss the impact of our approach in the context of knowledge exploration.
Repository Citation
Cameron, D. H.,
Mendes, P. N.,
Sheth, A. P.,
& Chan, V.
(2010). Semantics-Empowered Text Exploration for Knowledge Discovery. .
https://corescholar.libraries.wright.edu/knoesis/552
Included in
Bioinformatics Commons, Communication Technology and New Media Commons, Databases and Information Systems Commons, OS and Networks Commons, Science and Technology Studies Commons
Comments
Presented at the 48th Annual ACM Southeast Conference, Oxford, MS, April 15-17, 2010.
A paper presented in tandem with the poster is available at http://dx.doi.org/10.1145/1900008.1900029.