Investigating the use of summarisation for interactive XML retrieval

Authors:
Zoltán Szlávik;Anastasios Tombros;Mounia Lalmas
Affiliations:
Queen Mary University of London, London, UK;Queen Mary University of London, London, UK;Queen Mary University of London, London, UK
Venue:
Proceedings of the 2006 ACM symposium on Applied computing
Year:
2006

Citing 6
Cited 6

A trainable document summarizer

SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Advantages of query biased summaries in information retrieval

Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Summarizing text documents: sentence selection and evaluation metrics

Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
New Methods in Automatic Extracting

Journal of the ACM (JACM)
The HySpirit retrieval platform

Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Learning to summarise XML documents using content and structure

Proceedings of the 14th ACM international conference on Information and knowledge management

Learning-based summarisation of XML documents

Information Retrieval
Feature- and query-based table of contents generation for XML documents

ECIR'07 Proceedings of the 29th European conference on IR research
Reconsideration of the simulated work task situation: a context instrument for evaluation of information retrieval interaction

Proceedings of the third symposium on Information interaction in context
The use of summaries in XML retrieval

ECDL'06 Proceedings of the 10th European conference on Research and Advanced Technology for Digital Libraries
Text summarisation in progress: a literature review

Artificial Intelligence Review
Summarisation of the logical structure of XML documents

Information Processing and Management: an International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

As the number of components in XML documents is much larger than that of 'flat' documents, we believe it is essential to provide users of XML information retrieval systems with overviews of the content of retrieved elements. In this paper, we investigate the use of summarisation in XML retrieval as a means of helping users in their searching process.