Abstract
Clever management of the various types of documents used in intelligent activities and their efficient utilization are important. However, most available methods target only a single type of document (e-mails, Web pages, etc.). A more promising approach is topic-centered document management. Algorithms are described for extracting topics across various of types of documents. Moreover, a topic-centered document management system is described that is based on grouping by topics.
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Nakamura, S., Chiba, S., Shirai, H., Kaminaga, H., Yokoyama, S., Miyadera, Y. (2009). Algorithms for Extracting Topic across Different Types of Documents. In: Velásquez, J.D., Ríos, S.A., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2009. Lecture Notes in Computer Science(), vol 5712. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04592-9_72
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DOI: https://doi.org/10.1007/978-3-642-04592-9_72
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04591-2
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