Structural analysis of hypertexts: identifying hierarchies and useful metrics
ACM Transactions on Information Systems (TOIS)
Generating summaries of multiple news articles
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
World Wide Web Journal - Special issue on XML: principles, tools, and techniques
Automatic Information Organization and Retrieval.
Automatic Information Organization and Retrieval.
Multi-document summarization by graph search and matching
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Personalised Delivery of News Articles from Multiple Sources
ECDL '00 Proceedings of the 4th European Conference on Research and Advanced Technology for Digital Libraries
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Storyline-based summarization for news topic retrospection
Decision Support Systems
Multi-perspective linking of news articles within a repository
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
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This paper describes methods for relating (threading) multiple newspaper articles, and for visualizing various characteristics of them by using a directed graph. A set of articles is represented by a set of word vectors, and the similarity between the vectors is then calculated. The graph is constructed from the similarity matrix. By applying some constraints on the chronological ordering of articles, an efficient threading algorithm that runs in O(n) time (where n is the number of articles) is obtained. The constructed graph is visualized with words that represent the topics of the threads, and words that represent new information in each article. The threading technique is suitable for Webcasting (push) applications. A threading server determines relationships among articles from various news sources, and creates files containing their threading information. This information is represented in eXtended Markup Language (XML), and can be visualized on most Web browsers. The XML-based representation and a current prototype are described in this paper.