Demonstration of hierarchical document clustering of digital library retrieval results

Authors:
C. R. Palmer;J. Pesenti;R. E. Valdes-Perez;M. G. Christel;A. G. Hauptmann;D. Ng;H. D. Wactlar
Affiliations:
Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA
Venue:
Proceedings of the 1st ACM/IEEE-CS joint conference on Digital libraries
Year:
2001

Citing 1
Cited 11

Lessons Learned from Building a Terabyte Digital Video Library

Computer

Accessing News Video Libraries through Dynamic Information Extraction, Summarization, and Visualization

Visual Interfaces to Digital Libraries [JCDL 2002 Workshop]
Exploring Small Screen Digital Library Access with the Greenstone Digital Library

ECDL '02 Proceedings of the 6th European Conference on Research and Advanced Technology for Digital Libraries
Sentiment-based search in digital libraries

Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries
Automatic Ontology Generation Using Schema Information

WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
A Visual Framework for Knowledge Discovery on the Web: An Empirical Study of Business Intelligence Exploration

Journal of Management Information Systems
The opposite of smoothing: a language model approach to ranking query-specific document clusters

Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Ontology Construction Based on Latent Topic Extraction in a Digital Library

ICADL 08 Proceedings of the 11th International Conference on Asian Digital Libraries: Universal and Ubiquitous Access to Information
The opposite of smoothing: a language model approach to ranking query-specific document clusters

Journal of Artificial Intelligence Research
Towards automatic concept hierarchy generation for specific knowledge network

IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
Using query profiles for clarification

ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval
Locality mutual clustering for document retrieval

Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication

Quantified Score

Hi-index	0.01

Visualization

Abstract

As digital libraries grow in size, querying their contents will become as frustrating as querying the web is now. One remedy is to hierarchically cluster the results that are returned by searching a digital library. We demonstrate the clustering of search results from Carnegie Mellons Informedia database, a large video library that supports indexing and retrieval with automatically generated descriptors.