The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Summarizing text documents: sentence selection and evaluation metrics
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
XMill: an efficient compressor for XML data
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Improving Cross-Language Text Retrieval with Human Interactions
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 3 - Volume 3
Survey of Text Mining
BLAST
Toward information retrieval web services for digital libraries
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
From single to multi-document summarization: a prototype system and its evaluation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Learning-based summarisation of XML documents
Information Retrieval
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The concept of thumbnails is common in image representation. A thumbnail is a highly compressed version of an image that provides a small, yet complete visual representation to the human eye. We propose the adaptation of the concept of thumbnails to the domain of documents, whereby a thumbnail of any document can be generated from its semantic content, providing an adequate amount of information about the documents. However, unlike image thumbnails, document thumbnails are mainly for the consumption of software such as search engines, and other content processing systems. With the advent of the semantic web, the requirement for machine processing of documents has become extremely important. We give particular attention to electronic documents in XML and in RDF/XML, with a view towards the processing of documents in the semantic web.