Abstract
Mobile users have been suffering from low hardware capacity, poor interface, and high communication cost of their wireless devices. In this paper, we propose a wireless e-mail framework extracting user-relevant pieces of information from each e-mail text, instead of sending the full text e-mails themselves. Not only user-defined templates but also automatically generated templates based on semantic tagging are applied to be ruleset in order to discriminate which parts of the text should be extracted. E-mails that users are anticipating are especially suited to wireless notifying applications than any other kind of information. In experiments, we have verified that this system has shown an average removal of 74% redundant textual information and a maximum accurate filling of 93% of the template slots by collecting e-mails from DBWorld.
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Jung, J.J., Jo, GS. (2003). Template-Based E-mail Summarization for Wireless Devices. In: Yazıcı, A., Şener, C. (eds) Computer and Information Sciences - ISCIS 2003. ISCIS 2003. Lecture Notes in Computer Science, vol 2869. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39737-3_13
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DOI: https://doi.org/10.1007/978-3-540-39737-3_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20409-1
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