Collaborative classification of growing collections with evolving facets

Authors:
Harris Wu;Mohammad Zubair;Kurt Maly
Affiliations:
Old Dominion University, Norfolk, VA;Old Dominion University, Norfolk, VA;Old Dominion University, Norfolk, VA
Venue:
Proceedings of the eighteenth conference on Hypertext and hypermedia
Year:
2007

Citing 4
Cited 3

Deriving concept hierarchies from text

Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features

ECML '98 Proceedings of the 10th European Conference on Machine Learning
Collaborative filing in a document repository

Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Clustering versus faceted categories for information exploration

Communications of the ACM - Supporting exploratory search

HyperSea: towards a spatial hypertext environment for web 2.0 content

Proceedings of the 20th ACM conference on Hypertext and hypermedia
Collective taxonomizing: A collaborative approach to organizing document repositories

Decision Support Systems
Supporting process design for e-business via an integrated process repository

Information Technology and Management

Quantified Score

Hi-index	0.00

Visualization

Abstract

There is a lack of tools for exploring large non-textual collections. One challenge is the manual effort required to add metadata to these collections. In this paper, we propose an architecture that enables users to collaboratively build a faceted classification for a large, growing collection. Besides a novel wiki-like classification interface, the proposed architecture includes automated document classification and facet schema enrichment techniques. We have implemented a prototype for the American Political History multimedia collection from usa.gov.