VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Searching the web using composed pages
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
A system for query-specific document summarization
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Multi-document Summarization Based on Cluster Using Non-negative Matrix Factorization
SOFSEM '07 Proceedings of the 33rd conference on Current Trends in Theory and Practice of Computer Science
Improving XML search by generating and utilizing informative result snippets
ACM Transactions on Database Systems (TODS)
Enhanced results for web search
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Query based summarization using non-negative matrix factorization
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
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Summarization of text documents is increasingly important with the amount of data available on the Internet. The large majority of current approaches view documents as linear sequences of words and create query-independent summaries. However, ignoring the structure of the document degrades the quality of summaries. Furthermore, the popularity of web search engines requires query-specific summaries. We present a method to create query-specific summaries by adding structure to documents by extracting associations between their fragments.